CN112155602B - Method and device for determining optimal standard section of fetus - Google Patents

Method and device for determining optimal standard section of fetus Download PDF

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CN112155602B
CN112155602B CN202011015507.6A CN202011015507A CN112155602B CN 112155602 B CN112155602 B CN 112155602B CN 202011015507 A CN202011015507 A CN 202011015507A CN 112155602 B CN112155602 B CN 112155602B
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standard
structural feature
section
determining
tangent plane
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CN112155602A (en
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谢红宁
汪南
冼建波
梁喆
杨燕淇
吴海涛
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Guangzhou Aiyunji Information Technology Co Ltd
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/5215—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data
    • A61B8/523—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data for generating planar views from image data in a user selectable plane not corresponding to the acquisition plane
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/08—Detecting organic movements or changes, e.g. tumours, cysts, swellings
    • A61B8/0866—Detecting organic movements or changes, e.g. tumours, cysts, swellings involving foetal diagnosis; pre-natal or peri-natal diagnosis of the baby
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/5215—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data
    • A61B8/5223—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data for extracting a diagnostic or physiological parameter from medical diagnostic data

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Abstract

The invention discloses a method and a device for determining an optimal standard tangent plane of a fetus, wherein the method comprises the steps of obtaining the standard tangent plane of each frame of fetal ultrasonic image in multiple frames of fetal ultrasonic images, and determining the tangent plane score of the standard tangent plane of each frame of fetal ultrasonic image; and determining the standard section corresponding to the highest section score from all the standard sections according to all the section scores, and taking the standard section as the optimal standard section. Therefore, after the standard section of the fetal ultrasonic image is obtained, the invention does not need manual analysis to determine the optimal standard section of the fetal ultrasonic image, can automatically determine the section value of the standard section of the fetal ultrasonic image, intelligently select the standard section with the highest section value from all section values, realize the automatic determination of the optimal standard section, and can improve the determination accuracy and efficiency of the optimal standard section of the fetal ultrasonic image, thereby realizing the accurate acquisition of the growth and development condition of the fetus.

Description

Method and device for determining optimal standard section of fetus
Technical Field
The invention relates to the technical field of image processing, in particular to a method and a device for determining an optimal standard section of a fetus.
Background
The development condition of the fetus can be known from the standard section of the fetus, particularly the optimal standard section of the fetus, so that the optimal standard section of the fetus becomes a key point for accurately determining the growth and development condition of the fetus. The method for determining the optimal standard section of the fetus at present comprises the following steps: and obtaining a preliminary fetal standard section through analyzing the single Zhang Taier ultrasonic image, and further, after obtaining the preliminary fetal standard section, analyzing the preliminary fetal standard section by an experienced staff, thereby completing the final determination of the optimal fetal standard section.
However, it has been found in practice that the accuracy of the determined optimal standard section of the fetus is low due to the fact that the initial standard section of the fetus is determined directly from a single Zhang Chaosheng picture with a small data volume and due to limited experience and/or fatigue work of staff, the growth and development of the fetus cannot be determined accurately. Therefore, it is important to obtain an accurate optimal standard section of the fetus so as to accurately determine the growth and development condition of the fetus.
Disclosure of Invention
The invention aims to solve the technical problem of providing a method and a device for determining an optimal standard section of a fetus, which can obtain the accurate optimal standard section of the fetus so as to accurately determine the growth and development condition of the fetus.
In order to solve the technical problem, the first aspect of the present invention discloses a method for determining an optimal standard tangential plane of a fetus, the method comprising:
acquiring a standard section of each frame of fetal ultrasonic image in a plurality of frames of fetal ultrasonic images, and determining a section value of the standard section of each frame of fetal ultrasonic image;
and determining the standard section corresponding to the highest section score from all the standard sections according to the section scores of all the standard sections, and taking the standard section as the optimal standard section of all the fetal ultrasonic images.
As an optional implementation manner, in the first aspect of the present invention, after determining the section score of the standard section of each frame of the fetal ultrasound image, the method further includes:
judging whether all the standard tangential planes belong to the standard tangential planes of the same category;
when all the standard sections belong to the same class of standard sections, triggering and executing the operation of determining the standard section corresponding to the highest section value from all the standard sections according to the section values of all the standard sections as the optimal standard section of all the fetal ultrasonic images.
In a first aspect of the present invention, when it is determined that all the standard sections do not belong to the same category of standard sections, performing a classification operation on all the standard sections of the fetal ultrasound image according to a preset classification mode to obtain at least two standard section sets, where each standard section set includes at least one frame of standard section of the fetal ultrasound image, and all the standard sections included in each standard section set are standard sections of the same category;
And determining a standard tangent plane corresponding to the highest tangent plane score from all the standard tangent planes according to the tangent plane scores of all the standard tangent planes, wherein the determining the standard tangent plane corresponding to the highest tangent plane score as the optimal standard tangent plane comprises the following steps:
and determining a standard tangent plane corresponding to the highest tangent plane score from all the standard tangent planes included in each standard tangent plane set according to all the tangent plane scores corresponding to each standard tangent plane set, and taking the standard tangent plane corresponding to the highest tangent plane score as an optimal standard tangent plane corresponding to each standard tangent plane set.
In an optional implementation manner, in the first aspect of the present invention, according to all the facet scores corresponding to each standard facet set, a standard facet corresponding to a highest facet score is determined from all the standard facets included in each standard facet set, and after the standard facet corresponding to the highest facet score is determined as an optimal standard facet corresponding to each standard facet set, the method further includes:
performing normalization operation on the section scores of the optimal standard sections corresponding to each standard section set to obtain the section scores of the optimal standard sections corresponding to each standard section set after normalization;
and screening the standard section corresponding to the highest normalized section score from all the standard sections according to the normalized section scores, and taking the standard section as the optimal standard section corresponding to all the fetal ultrasonic images.
As an optional implementation manner, in the first aspect of the present invention, at least one structural feature exists in a standard section of each frame of the fetal ultrasound image, and each structural feature has a corresponding weight value;
and determining a section score of a standard section of each frame of the fetal ultrasound image, comprising:
determining a weight value corresponding to each structural feature of a standard section of each frame of the fetal ultrasonic image;
and calculating the section score of the standard section of each frame of the fetal ultrasonic image based on the weight value corresponding to each structural feature of each standard section and the feature parameters of the structural feature.
As an optional implementation manner, in the first aspect of the present invention, the determining a weight value corresponding to each of the structural features of the standard section of each frame of the fetal ultrasound image includes:
determining key weight value influence factors corresponding to each structural feature of a standard section of each frame of the fetal ultrasonic image, wherein the number of the key weight value influence factors corresponding to each structural feature is greater than or equal to 1, and each key weight value influence factor has a corresponding sub-weight value;
And determining a sub-weight value corresponding to each key weight value influence factor according to each key weight value influence factor corresponding to each structural feature, and calculating the sum of all the sub-weight values corresponding to each structural feature as the weight value corresponding to each structural feature.
The second aspect of the invention discloses a device for determining an optimal standard tangential plane of a fetus, the device comprising:
the acquisition module is used for acquiring a standard section corresponding to each frame of fetal ultrasonic image in the multi-frame fetal ultrasonic images;
the first determining module is used for determining the section value of the standard section of each frame of the fetal ultrasonic image;
and the second determining module is used for determining the standard section corresponding to the highest section score from all the standard sections according to the section scores of all the standard sections, and taking the standard section as the optimal standard section of all the fetal ultrasonic images.
As an alternative embodiment, in the second aspect of the present invention, the apparatus further includes:
the first determining module is used for determining whether all the standard sections belong to the same standard section after determining the section values of the standard sections of each frame of the fetal ultrasonic image by the first determining module, and triggering the second determining module to execute the section values according to all the standard sections when determining that all the standard sections belong to the same standard section, and determining the standard section corresponding to the highest section value from all the standard sections as the operation of the optimal standard section of all the fetal ultrasonic images.
As an alternative embodiment, in the second aspect of the present invention, the apparatus further includes:
the classification module is used for performing classification operation on the standard sections of all the fetal ultrasonic images according to a preset classification mode when the first judgment module judges that all the standard sections do not belong to the standard section of the same category, so as to obtain at least two standard section sets, wherein each standard section set comprises at least one frame of standard section of the fetal ultrasonic image, and all the standard sections included in each standard section set are standard sections of the same category;
the second determining module determines, according to the section scores of all the standard sections, a standard section corresponding to the highest section score from all the standard sections, and the mode of serving as an optimal standard section specifically includes:
and determining a standard tangent plane corresponding to the highest tangent plane score from all the standard tangent planes included in each standard tangent plane set according to all the tangent plane scores corresponding to each standard tangent plane set, and taking the standard tangent plane corresponding to the highest tangent plane score as an optimal standard tangent plane corresponding to each standard tangent plane set.
As an alternative embodiment, in the second aspect of the present invention, the apparatus further includes:
The normalization module is used for determining a standard tangent plane corresponding to the highest tangent plane score from all the standard tangent planes included in each standard tangent plane set according to all the tangent plane scores corresponding to each standard tangent plane set in the second determination module, and performing normalization operation on the tangent plane score of the optimal standard tangent plane corresponding to each standard tangent plane set after the standard tangent plane corresponding to each standard tangent plane set is used as the optimal standard tangent plane corresponding to each standard tangent plane set, so as to obtain the normalized tangent plane score of the optimal standard tangent plane corresponding to each standard tangent plane set;
and the screening module is used for screening the standard section corresponding to the highest normalized section score from all the standard sections according to all the normalized section scores, and taking the standard section as the optimal standard section corresponding to all the fetal ultrasonic images.
As an optional implementation manner, in the second aspect of the present invention, at least one structural feature exists in a standard section of each frame of the fetal ultrasound image, and each structural feature has a corresponding weight value;
and, the first determining module includes:
the determining submodule is used for determining a weight value corresponding to each structural feature of the standard section of each frame of the fetal ultrasonic image;
And the calculating sub-module is used for calculating the section score of the standard section of each frame of the fetal ultrasonic image based on the weight value corresponding to each structural feature of each standard section and the feature parameters of the structural feature.
As an alternative embodiment, in the second aspect of the present invention, the determining submodule includes:
the determining unit is used for determining key weight value influence factors corresponding to each structural feature of the standard section of each frame of the fetal ultrasonic image, the number of the key weight value influence factors corresponding to each structural feature is more than or equal to 1, and each key weight value influence factor has a corresponding sub-weight value;
the determining unit is further configured to determine a sub-weight value corresponding to each key weight value influence factor according to each key weight value influence factor corresponding to each structural feature;
and the calculating unit is used for calculating the sum of all the sub-weight values corresponding to each structural feature as the weight value corresponding to each structural feature.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a method and a device for determining an optimal standard section of a fetus, wherein the method comprises the steps of obtaining the standard section of each frame of fetal ultrasonic image in multiple frames of fetal ultrasonic images, and determining the section value of the standard section of each frame of fetal ultrasonic image; and determining the standard section corresponding to the highest section value from all the standard sections according to all the section values, and taking the standard section as the optimal standard section of all the fetal ultrasonic images. Therefore, after the standard section of the fetal ultrasonic image is obtained, the invention does not need manual analysis to determine the optimal standard section of the fetal ultrasonic image, can automatically determine the section value of the standard section of the fetal ultrasonic image, intelligently select the standard section with the highest section value from all section values, realize the automatic determination of the optimal standard section, and can improve the determination accuracy and efficiency of the optimal standard section of the fetal ultrasonic image, thereby realizing the accurate acquisition of the growth and development condition of the fetus.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for determining an optimal standard section of a fetus according to an embodiment of the present invention;
FIG. 2 is a flow chart of another method for determining an optimal standard section of a fetus according to the embodiment of the invention;
FIG. 3 is a flow chart of a method for determining a section score of a fetal standard section according to an embodiment of the present invention;
FIG. 4 is a schematic structural view of a device for determining an optimal standard section of a fetus according to an embodiment of the present invention;
FIG. 5 is a schematic structural view of another apparatus for determining an optimal normal tangential plane of a fetus according to an embodiment of the invention;
FIG. 6 is a schematic diagram of a first determining module according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a first determining module according to another embodiment of the present invention;
Fig. 8 is a schematic structural view of a determining device for an optimal standard section of a fetus according to an embodiment of the invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or device that comprises a list of steps or elements is not limited to the list of steps or elements but may, in the alternative, include other steps or elements not expressly listed or inherent to such process, method, article, or device.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The invention discloses a method and a device for determining an optimal standard tangent plane of a fetus, which can automatically determine the tangent plane score of the standard tangent plane of the ultrasonic image of the fetus without manual analysis after the standard tangent plane of the ultrasonic image of the fetus is obtained, intelligently select the standard tangent plane with the highest tangent plane score from all the tangent plane scores, realize the automatic determination of the optimal standard tangent plane, and improve the determination accuracy and efficiency of the optimal standard tangent plane of the ultrasonic image of the fetus, thereby realizing the accurate acquisition of the growth and development condition of the fetus. The following will describe in detail.
Example 1
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for determining an optimal standard tangential plane of a fetus according to an embodiment of the invention. The method for determining the optimal standard tangent plane of the fetus described in fig. 1 may be applied to a standard tangent plane determination server (service device), where the standard tangent plane determination server may include a local standard tangent plane determination server or a cloud standard tangent plane determination server, which is not limited in the embodiment of the present invention. As shown in fig. 1, the method for determining the optimal standard section of the fetus may include the following operations:
101. And obtaining a standard section of each frame of fetal ultrasonic image in the multi-frame fetal ultrasonic images.
In an embodiment of the present invention, as an optional implementation manner, obtaining a standard section of each frame of fetal ultrasound image in multiple frames of fetal ultrasound images may include:
sequentially inputting each frame of fetal ultrasonic image in the obtained continuous multi-frame fetal ultrasonic images into a predetermined characteristic detection model for analysis;
acquiring analysis results sequentially output by a feature detection model, wherein the feature information of each frame of fetal ultrasonic image comprises the part feature information of the fetal ultrasonic image and the structural feature information of the fetal ultrasonic image, the part feature information of each frame of fetal ultrasonic image at least comprises the category of the part feature of the fetal ultrasonic image, the structural feature information of each frame of fetal ultrasonic image at least comprises the category of the structural feature of the fetal ultrasonic image, and the structural feature of each fetal ultrasonic image at least comprises the key structural feature of the fetal ultrasonic image;
and determining a standard section corresponding to the fetal ultrasonic image according to the category of the part characteristic of each frame of the fetal ultrasonic image and the category of the structural characteristic of the fetal ultrasonic image.
In this alternative embodiment, multiple frames of fetal ultrasound images may be acquired continuously at a predetermined frame rate, wherein the predetermined frame rate is related to a standard slice of the fetal ultrasound image to be acquired, i.e., the frame rate is selected based on the standard slice of the fetal ultrasound image to be acquired, such as: if the abdominal circumference section is required to be acquired, the frame rate can be 30 frames/second; if a four-chamber heart slice is desired, the frame rate may be 60 frames/second. Therefore, the corresponding frame rate is selected according to the standard section of the fetal ultrasonic image to be acquired, and the acquisition efficiency and accuracy of the standard section of the fetal ultrasonic image to be acquired are improved.
In the embodiment of the invention, each frame of fetal ultrasonic image has a unique corresponding frame number. Therefore, by setting a unique frame number for each frame of fetal ultrasonic image, each frame of fetal ultrasonic image can be clearly distinguished in the process of acquiring the standard section of the fetal ultrasonic image, and management of the fetal ultrasonic image and the information of the standard section of the fetal ultrasonic image is facilitated.
In the embodiment of the present invention, the feature detection model may include at least one of location feature information and structure feature information that can obtain the fetal ultrasound image, such as a target detection model, an instance segmentation model, and a semantic segmentation model, which is not limited in the embodiment of the present invention.
Therefore, according to the alternative embodiment, the standard section of the fetal ultrasonic image is determined by acquiring the position features and the structural features of the continuous multi-frame fetal ultrasonic image and combining the position features and the structural features of the fetal ultrasonic image, so that the determination accuracy of the standard section of the fetal ultrasonic image can be improved without manually participating in the determination of the standard section of the fetal ultrasonic image; and the determination efficiency of the standard section of the fetal ultrasonic image can be improved by inputting the fetal ultrasonic image into the feature detection model for analysis.
In the embodiment of the invention, further optionally, the obtaining of the standard section of the fetal ultrasonic image can also be realized by receiving the standard section of each frame of fetal ultrasonic image in the multi-frame fetal ultrasonic image sent by the authorized terminal equipment. Thus, the standard section of the fetal ultrasonic image is obtained through various ways, the obtaining modes of the standard section can be enriched, and the obtaining possibility of the standard section is improved.
102. A section score of a standard section of each frame of fetal ultrasound image is determined.
In an alternative embodiment, the method may further comprise the operations of:
determining the duty ratio of the target feature of each frame of the fetal ultrasonic image, wherein the duty ratio of the target feature is used for representing the display proportion of the target feature to the display device where the target feature is positioned, and the target feature of each frame of the fetal ultrasonic image comprises the structural feature in the standard section of the fetal ultrasonic image or the standard section of the fetal ultrasonic image;
And, when the target feature of each frame of the fetal ultrasound image is a standard slice of the fetal ultrasound image, after performing the completing step 102, the method may further comprise the operations of:
determining the score coefficient corresponding to the duty ratio of the standard tangent plane of each frame of the fetal ultrasonic image, correcting the tangent plane score of the standard tangent plane of the fetal ultrasonic image based on the score coefficient corresponding to the duty ratio of the standard tangent plane of each frame of the fetal ultrasonic image, obtaining the corrected tangent plane score of the standard tangent plane of each frame of the fetal ultrasonic image, and triggering and executing step 103.
In this alternative embodiment, optionally, the duty ratio of the standard tangent plane may be calculated by calculating the area enclosed by the contour of the standard tangent plane and/or the distance value between the two endpoints with the farthest distance on the contour of the standard tangent plane, so that the accuracy and reliability of calculating the duty ratio of the standard tangent plane can be improved. The area enclosed by the profile of the standard cut is preferably chosen to calculate the duty cycle of the structural feature, for example: when the area surrounded by the outline of the abdominal circumference section occupies two thirds of the area of the display screen, the score correction coefficient corresponding to the occupation ratio of the abdominal circumference section is 1.
Therefore, after obtaining the section score of the standard section of the fetal ultrasonic image, the alternative embodiment further updates the section score according to the score coefficient corresponding to the ratio of the standard section of the obtained fetal ultrasonic image to the display area of the current display device, which is beneficial to improving the accuracy and reliability of determining the section score of the standard section of the fetal ultrasonic image, and further improving the accuracy and reliability of determining the optimal standard section of the fetal ultrasonic image.
In an embodiment of the present invention, as an optional implementation manner, determining a section score of a standard section of each frame of fetal ultrasound image may include:
determining a weight value corresponding to each structural feature of a standard section of each frame of fetal ultrasonic image;
and calculating the section score of the standard section of each frame of fetal ultrasonic image based on the weight value corresponding to each structural feature of each standard section and the feature parameters of the structural features.
In this alternative embodiment, there is at least one structural feature within the standard slice of each frame of fetal ultrasound image, each structural feature having a corresponding weight value. The structural features in each standard tangent plane at least comprise key structural features (also called basic structural features or main structural features) of the standard tangent plane, and further, the structural features in each standard tangent plane can also comprise other structural features besides the key structural features. For example: the thalamus standard cut includes at least one key structural feature in at least the clear compartment, thalamus and lateral ventricle, further the thalamus standard cut may also include at least one other structural feature in the choroidal slave and lateral fissure of the brain. The more structural features in the standard tangent plane are, the more the calculation accuracy and reliability of the tangent plane score of the standard tangent plane are improved, and the determination accuracy and reliability of the optimal standard tangent plane are improved. The key structural feature of each standard tangent plane can represent the structural feature of the standard tangent plane, namely, when the key structural feature of the fetal ultrasonic image is acquired, the standard tangent plane corresponding to the key structural feature can be determined. For example: when the structural feature of the fetal ultrasound image is gastric bulb and umbilical vein, the standard section of the fetal ultrasound image is the abdominal circumference section. Therefore, the standard tangent plane of the fetal ultrasonic image is determined through the key structural characteristics, and the determination efficiency of the standard tangent plane can be improved while the standard tangent plane is ensured to be determined correctly.
Therefore, according to the alternative implementation mode, the weight value of each structural feature of the standard tangent plane is combined with the feature parameters of the structural feature, so that the automatic calculation of the tangent plane score of the standard tangent plane can be realized, and the accuracy and the efficiency of calculating the tangent plane score of the standard tangent plane are improved.
In this optional embodiment, further optionally, determining a weight value corresponding to each structural feature of the standard section of each frame of the fetal ultrasound image may include:
determining key weight value influence factors corresponding to each structural feature of a standard section of each frame of fetal ultrasonic image, wherein the number of the key weight value influence factors corresponding to each structural feature is greater than or equal to 1, and each key weight value influence factor has a corresponding sub-weight value;
and determining a sub-weight value corresponding to each key weight value influence factor according to each key weight value influence factor corresponding to each structural feature, and calculating the sum of all sub-weight values corresponding to each structural feature as the weight value corresponding to each structural feature.
In this alternative embodiment, the key weight value influencing factors corresponding to each structural feature of each standard section may be the same or different. For example: the key weight value influence factors of the skull light ring structural feature of the lateral ventricle section comprise the head circumference size corresponding to the outline of the skull light ring structural feature, the integrity of the outline of the skull light ring structural feature and the relative position of the area surrounded by the outline of the skull light ring structural feature and the brain central line; the key weight value influence factors of the femur structural features of the femur measurement section comprise the length corresponding to the outline of the femur structural features, the area surrounded by the outline of the femur structural features and the relative position of the area surrounded by the outline of the femur structural features and the central line of the brain.
Therefore, in the optional implementation manner, the calculation accuracy of the weight value of the structural feature can be improved by determining the key weight value influence factor corresponding to each structural feature in a targeted manner and determining the sub weight values corresponding to all the key weight value influence factors as the weight values corresponding to the structural feature, so that the calculation accuracy of the section score of the corresponding standard section is improved, and the determination accuracy of the optimal standard section is further improved.
In this further optional embodiment, further optionally, determining, according to each key weight value influence factor corresponding to each structural feature, a sub weight value corresponding to each key weight value influence factor may include:
for any structural feature, when the key weight value influence factor corresponding to the structural feature comprises the geometric parameter of the contour of the structural feature, determining the sub-weight value corresponding to the geometric parameter of the contour of the structural feature according to the geometric parameter of the contour of the structural feature, wherein the geometric parameter of the contour of the structural feature comprises the size and/or the area of the contour of the structural feature;
for any structural feature, when a key weight value influence factor corresponding to the structural feature comprises definition of the structural feature, inputting a fetal ultrasonic image corresponding to the structural feature into the determined classification model for analysis, and acquiring an analysis result output by the classification model as a sub weight value corresponding to the definition of the structural feature;
For any structural feature, when the key weight value influence factor corresponding to the structural feature comprises the integrity of the structural feature, calculating the geometric parameter corresponding to the structural feature according to the outline of the structural feature, and determining the sub-weight value corresponding to the integrity of the structural feature according to the geometric parameter corresponding to the structural feature;
for any structural feature, when the key weight value influence factor corresponding to the structural feature comprises the position of the structural feature in the standard tangent plane, determining the sub-weight value corresponding to the position of the structural feature in the standard tangent plane based on the relative position relation between the central line of the brain corresponding to the structural feature and the area surrounded by the outline of the structural feature;
when the target feature of each frame of fetal ultrasound image is a structural feature in a standard section of the fetal ultrasound image, for any structural feature, determining a sub-weight value matched with the duty ratio of the structural feature according to the duty ratio of the structural feature.
In this alternative embodiment, optionally, the duty ratio of the structural feature may be calculated by calculating an area enclosed by the contour of the structural feature and/or a distance value between two endpoints with the farthest distances on the contour of the structural feature, so that the accuracy and reliability of calculating the duty ratio of the structural feature can be improved. The area enclosed by the profile of the structural feature is preferably selected to calculate the duty cycle of the structural feature, for example: the area surrounded by the outline of the left atrium structural feature occupies one seventh of the area of the display screen, and the corresponding sub-weight value of the occupancy ratio of the left atrium structural feature is 0.8.
In this alternative embodiment, the dimensions of the contour of the structural feature may include the circumference of the contour of the structural feature and/or the corresponding length of the contour of the structural feature (e.g., the length of the humeral structural feature).
In the optional implementation manner, after the geometric parameters of the outline of the structural feature are obtained, whether the geometric parameters of the outline of the structural feature are in the geometric parameter range corresponding to the gestational period of the determined fetal ultrasound image is further judged, and when the geometric parameters are not in the geometric parameter range, the sub-weight value corresponding to the geometric parameters of the outline of the structural feature is multiplied by the determined weight correction coefficient (for example, 0.8) to obtain a corrected sub-weight value; and when the judgment result is yes, triggering and executing the operation of calculating the sum of all the sub-weight values corresponding to each structural feature as the weight value corresponding to each structural feature. For example: if the current gestational period of the fetus is 20 weeks, and the length of the femur of the fetus is normally 10cm-15cm at 20 weeks, the calculated sub weight value (0.7) is kept unchanged when the determined length of the femur structural feature is 13cm, and the calculated sub weight value (0.7) is multiplied by the weight correction coefficient (0.9) when the length of the femur structural feature is 8cm or 20cm, so that the corrected sub weight value (0.63) is obtained. The higher the weight value is, the more obvious the corresponding structural feature is. Therefore, the accuracy of calculating the section score of the corresponding standard section can be improved by executing the correction operation on the sub-weight values corresponding to the geometric parameters of the structural features which are not in the normal parameter range corresponding to the gestation period.
In this optional embodiment, based on the relative positional relationship between the central line of the brain corresponding to the structural feature and the region surrounded by the contour of the structural feature, the sub-weight value corresponding to the position of the structural feature in the standard tangent plane is determined, specifically: when an intersection point exists between a brain midline corresponding to a structural feature and an area surrounded by the outline of the structural feature, determining a sub-weight value corresponding to the position of the structural feature on a standard tangent plane as a first sub-weight value; when the distance between the central line of the brain corresponding to the structural feature and the outline of the structural feature is within a predetermined distance range value, determining the sub-weight value corresponding to the position of the structural feature on the standard section as a second sub-weight value; when the distance between the central line of the brain corresponding to the structural feature and the outline of the structural feature is larger than the maximum distance value in the predetermined distance range value, determining that the sub-weight value corresponding to the position of the structural feature on the standard section is a third sub-weight value, and sequentially reducing the first sub-weight value, the second sub-weight value and the third sub-weight value. For example: when the brain midline passes through the area surrounded by the outline of the brain midline small bag structural feature, the sub-weight value is 1, which indicates that the brain midline small bag structural feature does not deviate from the brain midline; when the outline of the small brain midline sac structural feature has no intersection point with the brain midline and the deviation distance is 1mm, the sub-weight value is 0.8; when the offset distance is 5mm, then the sub-weight value is 0.
In this alternative embodiment, when there are a plurality of key weight value influencing factors corresponding to the structural features, the weight value of the corresponding structural feature is equal to the sum of the sub-weight values corresponding to each key weight value influencing factor. For example: the key weight value influence factors of the femur structural features of the femur measurement section comprise the length corresponding to the contour of the femur structural features, the area surrounded by the contour of the femur structural features and the relative position of the area surrounded by the contour of the femur structural features and the brain center line, the sub weight value of the length corresponding to the contour of the femur structural features is 0.7, the sub weight value corresponding to the area surrounded by the contour of the femur structural features is 0.6, the sub weight value corresponding to the relative position of the area surrounded by the contour of the femur structural features and the brain center line is 0.8, and then the weight value of the femur structural features is 0.7+0.6+0.8=2.1.
Therefore, according to the alternative implementation mode, the corresponding sub-weight value determining mode is selected according to different key weight value influence factors, so that not only can the acquisition of the sub-weight value corresponding to the key weight value influence factor be realized, but also the acquisition efficiency and the accuracy of the sub-weight value can be improved, the calculation accuracy and the calculation efficiency of the weight value corresponding to the structural feature are improved, and the calculation accuracy and the calculation efficiency of the section score of the corresponding standard section are further improved.
In this further alternative embodiment, further optionally, calculating geometric parameters corresponding to the structural feature according to the contour of the structural feature includes:
calculating the length of the outline of the structural feature as a geometric parameter corresponding to the structural feature; and/or the number of the groups of groups,
determining a central point corresponding to the outline of the structural feature, and determining a central angle corresponding to the outline of the structural feature based on the central point corresponding to the outline of the structural feature and the outline of the structural feature as a geometric parameter corresponding to the structural feature; and/or the number of the groups of groups,
fitting the outline of the structural feature based on the determined fitting method to obtain a target outline of the structural feature;
and calculating the length of the contour of the structural feature and the contour of the overlapping part of the target contour of the structural feature, and taking the length as the geometric parameter corresponding to the structural feature, and/or determining the center point corresponding to the target contour of the structural feature, and determining the center angle corresponding to the contour of the structural feature based on the center point corresponding to the target contour of the structural feature and the contour of the overlapping part, and taking the center angle corresponding to the contour of the structural feature as the geometric parameter corresponding to the structural feature.
In this optional embodiment, optionally, each contour of the structural feature corresponds to a plurality of nodes, and fitting the contour of the structural feature based on the determined fitting method to obtain the target contour of the structural feature may include:
Acquiring the arc radius corresponding to the outline of each structural feature;
when the radius of the circular arc corresponding to the outline of each structural feature is larger than or equal to a determined radius threshold value (for example, 5 mm), selecting a preset number (for example, 50 or the like) of target nodes from all the nodes corresponding to the structural feature, and sequentially connecting all the target nodes corresponding to each structural feature according to the mode of connecting every two adjacent nodes to obtain the target outline of the structural feature;
when the radius of the arc corresponding to the contour of each structural feature is not more than or equal to the determined radius threshold value of the arc, all the nodes corresponding to each structural feature are sequentially connected according to the mode that every two adjacent nodes are connected, and the target contour of the structural feature is obtained.
In this alternative embodiment, the fitting operation is performed on the profile of the structural feature in segments when there are a plurality of arcs in the profile and/or the curvature of the profile is greater than or equal to the determined curvature threshold. Specific: when a plurality of circular arcs exist in the outline of the structural feature, fitting operation is respectively carried out on each circular arc in the plurality of circular arcs of the structural feature; when the curvature of the contour of the structural feature is greater than or equal to the curvature threshold, equally or unequally spacing the contour of the structural feature into multiple segments, and respectively performing fitting operation on each segment of contour. Therefore, when the contour of the structural feature has a plurality of circular arcs and/or the curvature of the contour is large, the fitting efficiency and the accuracy of the contour of the structural feature can be improved by executing the fitting operation on the contour segment of the structural feature, so that the measurement accuracy and the reliability of the geometric parameters of the structural feature of the fetal ultrasonic image are further improved.
In this alternative embodiment, a fitting operation may also be performed on the contour of each structural feature based on the determined B-spline curve fitting manner and/or the ellipse fitting manner, to obtain the target contour of the structural feature, where the alternative embodiment is not limited.
Therefore, according to the alternative embodiment, different fitting modes are selected according to the size of the circular arc radius of the structural feature of the fetal ultrasonic image, so that not only can fitting of the structural feature be realized, but also the fitting efficiency and accuracy of the structural feature can be improved, and therefore, the calculation accuracy of the geometric parameter of the structural feature is improved.
In this alternative embodiment, after calculating the length of the overlapping part contour of the structural feature and the target contour of the structural feature as the geometric parameter corresponding to the structural feature, the method further includes:
and calculating the ratio of the length of the overlapping part contour of the target contour of the structural feature to the perimeter of the target contour, and updating the geometric parameter corresponding to the structural feature to be the ratio. Wherein different ratios correspond to different sub-weight values, for example: when the ratio is greater than or equal to 0.8, the corresponding sub-weight value is 1; when the ratio is less than 0.8, the corresponding sub-weight value is 0.8. In this way, the geometric parameters corresponding to the structural features are updated to be the ratio of the length of the overlapped part of the target contour of the structural features to the perimeter of the target contour, so that the determination accuracy of the sub-weight values is improved, and the calculation accuracy of the weight values of the structural features is improved.
In this alternative embodiment, after determining the central angle corresponding to the contour of the structural feature as the geometric parameter corresponding to the structural feature, the method further includes:
calculating the ratio of the central angle corresponding to the outline of the structural feature to the 360-degree central angle, and updating the geometric parameter corresponding to the structural feature to the ratio of the central angle corresponding to the outline of the structural feature to the 360-degree central angle.
Therefore, the optional implementation manner can enrich the acquisition modes of the geometric parameters corresponding to the structural features by providing a plurality of modes for determining the geometric parameters corresponding to the structural features, and improves the acquisition possibility of the geometric parameters corresponding to the structural features; and taking one or a combination of the length of the contour of the structural feature, the central angle corresponding to the contour of the structural feature, the length of the overlapping part contour of the structural feature and the fitted contour, and the central angle corresponding to the overlapping part contour as the geometric parameter corresponding to the structural feature, the acquisition accuracy of the geometric parameter corresponding to the structural feature can be improved, and therefore the calculation accuracy of the weight value corresponding to the structural feature is improved.
In still another further alternative embodiment, calculating the section score of the standard section of each frame of the fetal ultrasound image based on the weight value corresponding to each structural feature of each standard section and the feature parameter of the structural feature may include:
Calculating a structural score corresponding to each structural feature of each standard tangent plane based on the weight value corresponding to each structural feature of each standard tangent plane, the category probability of the structural feature and the position probability of the structural feature;
and calculating the sum of the structure scores corresponding to all the structure features of each standard section, and taking the sum as the section score of the standard section of each frame of fetal ultrasonic image.
In this alternative embodiment, the feature parameters of each structural feature of each standard cut plane include a category probability of the structural feature and a location probability of the structural feature.
In this alternative embodiment, the calculation formula of the section score of the standard section of each frame of fetal ultrasound image is as follows:
Figure BDA0002698925920000121
H i ＝P i ×Q i ×O i ；
Figure BDA0002698925920000122
wherein S is the section score of each standard section, H i For the structural score of the ith structural feature in each standard facet, M is the total number of structural features in each standard facet, P i Class probability (also known as confidence) for the ith structural feature in each standard facet，Q i For the position probability of the ith structural feature in each standard tangent plane, O i For the weight value of the ith structural feature in each standard section, N is the total number of key weight value influence factors of the ith structural feature, O ij And (3) the sub-weight value corresponding to the j-th key weight value influence factor in the i-th structural feature in each standard tangent plane.
In this optional embodiment, further, the parameters included in the structural feature in each standard tangent plane further include probability of the location where the structural feature is located, where the calculation formula of the structural score of the ith structural feature in each standard tangent plane is:
H i ＝P i ×Q i ×O i ×C i ；
wherein C is i The parameters included for the structural feature in each standard cut also include the probability of the location where the structural feature is located. The more parameters of the structural features are, the calculation accuracy of the structural scores of the structural features is improved, so that the calculation accuracy of the section scores of the standard sections is improved, and the determination accuracy and reliability of the optimal standard sections are improved.
Therefore, according to the alternative embodiment, the calculation of the section score of the standard section can be realized by respectively calculating the structure score corresponding to each structure feature of the standard section, so that the accuracy and the efficiency of the section score calculation of the standard section are improved; and selecting different parameters according to different structural characteristics, so that the calculation accuracy and efficiency of the structural scores corresponding to the structural characteristics can be improved, and the calculation accuracy and efficiency of the section scores of the standard sections are further improved.
103. And determining the standard section corresponding to the highest section score from all the standard sections according to the section scores of all the standard sections, and taking the standard section as the optimal standard section of all the fetal ultrasonic images.
In an alternative embodiment, the method for determining the optimal standard tangential plane of the fetus may further comprise the following operations:
acquiring a positive fetal ultrasonic image sample and a negative fetal ultrasonic image sample, wherein the pixel value of the positive fetal ultrasonic image sample is larger than that of the negative fetal ultrasonic image sample, and key weight value influence factors of structural characteristics of each positive fetal ultrasonic image in the positive fetal ultrasonic image sample and each negative fetal ultrasonic image in the negative fetal ultrasonic image sample comprise the definition of the structural characteristics;
based on the positive fetal ultrasonic image sample and the negative fetal ultrasonic image sample, training the determined initial classification model, and acquiring the trained initial classification model as the determined classification model.
In this alternative embodiment, the initial classification model includes one or a combination of classification models formed by KNN, bayesian, neural Network, envelope-Stacking, ensemble-Boosting, envelope-Bagging, and the like, which can implement image classification, and the alternative embodiment is not limited thereto.
In this alternative embodiment, the positive fetal ultrasound image sample and the negative fetal ultrasound image sample may include a sample fetal ultrasound image that may be screened out for the terminal of the apparatus, may be selected empirically for the person involved, or may be determined both.
In this alternative embodiment, the positive fetal ultrasound image sample is composed of a plurality of sub-positive fetal ultrasound image samples and the negative fetal ultrasound image sample is composed of a plurality of sub-negative fetal ultrasound image samples, since the key weight value influencing factors include a plurality of structural features corresponding to the sharpness of the structural features. Wherein each sub-positive fetal ultrasound image sample corresponds to one sub-negative fetal ultrasound image sample. Further, there is a corresponding sample weight value for each sample fetal ultrasound image. For example: the positive fetal ultrasound image samples comprise a sub-positive fetal ultrasound image sample comprising transparent compartment structural features and a sub-positive fetal ultrasound image sample comprising arterial duct structural features, and the negative fetal ultrasound image sample comprises a sub-negative fetal ultrasound image sample comprising transparent compartment structural features and a sub-negative fetal ultrasound image sample comprising arterial duct structural features. At this time, based on the positive fetal ultrasonic image sample, the negative fetal ultrasonic image sample and the weight value corresponding to each sample fetal ultrasonic image, the determined initial classification model is trained, and the trained initial classification model is obtained as the determined classification model. Therefore, the training accuracy of the classification model can be improved, and the classification model with high accuracy is obtained.
Therefore, according to the optional embodiment, the training operation is performed on the initial classification model based on the sample fetal ultrasonic image in advance, so that the classification model which meets the requirements and is accurate can be obtained, the analysis accuracy and reliability of the sub-weight values of the definition of the key weight value influence factors including the structural features are improved, and the calculation accuracy and efficiency of the weight values corresponding to the structural features are improved.
In another alternative embodiment, after performing step 102, the method for determining the optimal standard tangential plane of the fetus may further comprise the following operations:
judging whether all the standard cut surfaces belong to the standard cut surfaces of the same class;
when it is determined that all the standard sections belong to the standard section of the same category, the execution of step 103 is triggered.
In this alternative embodiment, it should be noted that the step of determining whether all the standard facets belong to the same class of standard facets may occur simultaneously with step 102, or may occur before step 102, which is not limited.
In this optional embodiment, as an optional implementation manner, determining whether all the standard cut surfaces belong to the standard cut surfaces in the same class may include:
Judging whether the categories of the structural features of each standard tangent plane are matched or not, and determining that all the standard tangent planes belong to the standard tangent planes of the same category when the judging result is yes; when the judgment result is negative, determining that all the standard tangent planes do not belong to the same class of standard tangent planes; or alternatively, the process may be performed,
obtaining the section mark of each standard section, judging whether the section marks of each standard section are matched, and determining that all standard sections belong to the same class of standard sections when the judgment result is yes; and when the judging result is negative, determining that all the standard sections do not belong to the standard section of the same category, wherein the section mark of each standard section comprises a section number and/or a section icon.
For example, when each standard cut includes a gastric bulb structural feature, then all standard cuts are standard cuts of the same class and standard cuts of the abdominal class. For another example, if the first bits in the section number of each standard section are 0001, then all standard sections are standard sections of the same class.
According to the alternative implementation mode, further, when two judging results are yes, all standard tangent planes belonging to the same category are determined, so that the determining mode of all standard tangent planes belonging to the same category can be enriched, and the determining accuracy of all standard tangent planes belonging to the same category can be improved.
Therefore, in the optional embodiment, after the standard tangent planes of all the fetal ultrasonic images are obtained, the standard tangent planes of all the fetal ultrasonic images are further judged to belong to the same class, if yes, the subsequent operation is executed, and the determination accuracy of the optimal standard tangent planes of the fetal ultrasonic images can be improved; and determining whether all the standard tangential planes belong to the same category by providing the category based on the structural characteristics of the standard tangential planes and/or the tangential plane identification of the standard tangential planes, so that the determination modes of the standard tangential planes of the same category can be enriched, and the determination accuracy of the standard tangential planes of the same category can be improved.
In yet another alternative embodiment, the method for determining the optimal standard tangential plane of the fetus may further comprise the operations of:
when all the standard sections are judged not to belong to the standard section of the same category, performing classification operation on the standard sections of all the fetal ultrasonic images according to a preset classification mode to obtain at least two standard section sets, wherein each standard section set comprises at least one frame of standard section of the fetal ultrasonic image, and all the standard sections included in each standard section set are standard sections of the same category;
According to the section scores of all the standard sections, determining the standard section corresponding to the highest section score from all the standard sections as the optimal standard section, wherein the method comprises the following steps:
and determining the standard tangent plane corresponding to the highest tangent plane score from all the standard tangent planes included in each standard tangent plane set according to all the tangent plane scores corresponding to each standard tangent plane set, and taking the standard tangent plane corresponding to the highest tangent plane score as the optimal standard tangent plane corresponding to each standard tangent plane set.
In this alternative embodiment, optionally, the section scores of all the standard sections included in each set of standard sections may be determined while performing classification operations on all the standard sections of the fetal ultrasound images.
Therefore, in the optional embodiment, when judging that the standard sections of all the fetal ultrasonic images belong to different categories, the classifying operation is performed on all the standard sections, so that the standard sections of different categories can be obtained, the occurrence of the situation that the obtained non-optimal standard section is reduced due to different categories of the sections is reduced, and the determination accuracy and reliability of the optimal standard section corresponding to the standard section of different categories are improved.
In yet another alternative embodiment, after determining, from all the standard cuts included in each standard cut set, the standard cut corresponding to the highest cut score according to all the cut scores corresponding to each standard cut set, as the optimal standard cut corresponding to each standard cut set, the method for determining the optimal standard cut of the fetus may further include the following operations:
Performing normalization operation on the section scores of the optimal standard sections corresponding to each standard section set to obtain the section scores of the optimal standard sections corresponding to each standard section set after normalization;
and screening the standard section corresponding to the highest normalized section score from all the standard sections according to the normalized section scores, and taking the standard section as the optimal standard section corresponding to all the fetal ultrasonic images.
In this alternative embodiment, for example, the score of the optimal standard cut of the femur is 20 minutes, the score of the optimal standard cut of the skull is 100 minutes, the score of the optimal standard cut of the umbilical vein of the gallbladder is 60 minutes, and then normalization operations are performed on the score of the optimal standard cut of the femur, the score of the optimal standard cut of the skull and the score of the optimal standard cut of the umbilical vein of the gallbladder, respectively, so that each score falls within the range of 0-1, and then the normalized score is 0.8, 0.5, and 0.9 in sequence, and then the optimal standard cut of all the fetal ultrasound images is the optimal standard cut of the umbilical vein of the gallbladder.
Therefore, after the optimal standard section corresponding to the standard section of the different category is obtained, the optional embodiment further performs normalization operation on the section scores of the optimal standard section corresponding to the standard section of the different category, so that the section scores of the optimal standard section corresponding to the standard section of the different category are comparable, the determination accuracy and the efficiency of the optimal standard section corresponding to all the fetal ultrasonic images are improved, and the accurate obtaining of the growth and development condition of the fetus is further facilitated.
Therefore, after the standard section of the fetal ultrasonic image is obtained, the method for determining the optimal standard section of the fetus depicted in fig. 1 can be implemented without manual analysis to determine the optimal standard section of the fetal ultrasonic image, can automatically determine the section value of the standard section of the fetal ultrasonic image, intelligently select the standard section with the highest section value from all section values, realize automatic determination of the optimal standard section, and can improve the accuracy and efficiency of determining the optimal standard section of the fetal ultrasonic image, thereby realizing accurate obtaining of the growth and development condition of the fetus.
Example two
Referring to fig. 2, fig. 2 is a flowchart illustrating another method for determining an optimal standard tangential plane of a fetus according to an embodiment of the invention. The method for determining the optimal standard tangent plane of the fetus described in fig. 2 may be applied to a standard tangent plane determination server (service device), where the standard tangent plane determination server may include a local standard tangent plane determination server or a cloud standard tangent plane determination server, which is not limited in the embodiment of the present invention. As shown in fig. 2, the method for determining the optimal standard section of the fetus may include the following operations:
201. And obtaining a standard section of each frame of fetal ultrasonic image in the multi-frame fetal ultrasonic images.
202. A section score of a standard section of each frame of fetal ultrasound image is determined.
203. Judging whether the abnormal standard tangential planes with the structural characteristics being abnormal structural characteristics exist in all the standard tangential planes according to the structural characteristics of all the standard tangential planes, and triggering to execute step 205 when the judging result is negative; when the determination is yes, execution of step 204 may be triggered.
In the embodiment of the present invention, step 202 and step 203 may also occur simultaneously.
204. And correcting the section score of each abnormal standard section based on the score correction coefficient corresponding to the abnormal standard section.
In the embodiment of the present invention, after the execution of step 204 is completed, the execution of step 205 is triggered, and the section scores of all the standard sections in step 205 include the section scores of all the standard sections that do not need to be corrected and the section scores of all the standard sections that need to be corrected and have been corrected.
In the embodiment of the invention, each abnormal standard tangent plane has a corresponding score correction coefficient. Further, the score correction coefficients corresponding to different abnormal standard sections may be the same or different, and the embodiment of the present invention is not limited. For example: the score correction coefficient corresponding to the abnormal lateral ventricle standard section is 10, and the score correction coefficient corresponding to the abnormal thalamus standard section is 8.
In the embodiment of the present invention, optionally, the score correction coefficient includes at least one of a tangent plane score correction coefficient, a structure score correction coefficient and a weight value correction coefficient. And, as an alternative embodiment, correcting the section score of each abnormal standard section based on the score correction coefficient corresponding to the abnormal standard section may include:
when the score correction coefficient is a tangent plane score correction coefficient, multiplying the score correction coefficient corresponding to the abnormal standard tangent plane by the tangent plane score of the abnormal standard tangent plane for any abnormal standard tangent plane to obtain the corrected tangent plane score of the abnormal standard tangent plane;
when the score correction coefficient is a structure score correction coefficient, multiplying the score correction coefficient corresponding to the abnormal standard tangent plane by the structure score corresponding to the abnormal structure feature for any abnormal standard tangent plane to obtain the structure score corresponding to the corrected abnormal structure feature, and adding the structure scores of each structure feature (including the normal structure feature and the abnormal structure feature) of the abnormal standard tangent plane to obtain the corrected tangent plane score of the abnormal standard tangent plane;
when the score correction coefficient is a weight value correction coefficient, for any abnormal standard tangent plane, multiplying the score correction coefficient corresponding to the abnormal standard tangent plane by the weight value corresponding to the abnormal structural feature to obtain a weight value corresponding to the corrected abnormal structural feature, calculating the structural score corresponding to the abnormal structural feature, and adding the structural scores of each structural feature (including the normal structural feature and the abnormal structural feature) of the abnormal standard tangent plane to obtain the corrected tangent plane score of the abnormal standard tangent plane.
In the alternative embodiment, when there are at least two correction modes for correcting the section score of the abnormal standard section, the average value of the section scores of all the correction modes for correcting the abnormal standard section is obtained and used as the section score of the abnormal standard section after correction. Therefore, the correction accuracy of the section values of the abnormal standard section can be improved, and the accurate section values of the abnormal standard section can be further obtained.
Therefore, according to the alternative embodiment, the section score of the abnormal standard section is corrected by providing at least one correction mode of section score correction, structure score correction and weight value correction, so that not only can the correction mode of the section score of the abnormal standard section be enriched, but also the correction accuracy of the section score of the abnormal standard section can be improved, thereby obtaining the accurate section score of the abnormal standard section, and further being beneficial to improving the determination accuracy and reliability of the optimal standard section.
205. And determining the standard section corresponding to the highest section score from all the standard sections according to the section scores of all the standard sections, and taking the standard section as the optimal standard section of all the fetal ultrasonic images.
Therefore, after obtaining the section scores of the standard sections of the fetal ultrasonic image, the embodiment of the invention further judges whether the abnormal standard sections exist in all the standard sections, if so, the section scores of the abnormal standard sections are corrected based on the score correction coefficients, so that the accuracy of determining the section scores of the abnormal standard sections can be improved, the situation that the optimal standard section is obtained when the abnormal standard section appears is reduced, and the non-optimal standard section is obtained is caused, and the accuracy and the reliability of determining the optimal standard section when the abnormal standard section appears are improved.
In the embodiment of the present invention, for other descriptions of step 201, step 202 and step 205, please refer to the detailed descriptions of step 101-step 103 in the first embodiment, and the description of the embodiment of the present invention is omitted.
In an alternative embodiment, determining whether an abnormal standard section with a structural feature being an abnormal structural feature exists in all standard sections according to the structural features of all standard sections may include:
acquiring target information of each structural feature of each standard tangent plane, wherein the target information of each structural feature is used for determining whether the standard tangent plane where the structural feature is positioned is an abnormal standard tangent plane;
judging whether each structural feature is matched with the standard tangent plane according to the target information of each structural feature of each standard tangent plane;
when judging that the non-matching structural features which are not matched with the standard tangential planes are in the structural features, determining that the abnormal standard tangential planes with the structural features being abnormal structural features are in the standard tangential planes, wherein the abnormal standard tangential planes are the standard tangential planes with the non-matching structural features.
It can be seen that the determination of the abnormal standard tangent plane can be achieved by acquiring the target information of each structural feature of the standard tangent plane and judging whether each structural feature is matched with the corresponding standard tangent plane according to the target information of each structural feature.
In another alternative embodiment, determining whether each structural feature matches the located standard facet according to the target information of each structural feature of each standard facet may include:
determining a representation type corresponding to each structural feature according to the target information of each structural feature of each standard tangent plane, wherein the representation type comprises a numerical representation type and/or a feature morphology representation type;
when the representation type of the structural feature is a numerical representation type, acquiring a target geometric parameter value corresponding to the structural feature, judging whether the target geometric parameter value corresponding to the structural feature is in a predetermined normal parameter value range, and determining that the structural feature is not matched with the standard tangent plane when the judgment result is negative;
when the representation type of the structural feature is the feature morphology representation type, judging whether the structural feature is positioned in a detection area of the position feature corresponding to the structural feature, and when the judgment result is negative, determining that the structural feature is not matched with the standard section where the structural feature is positioned.
In this alternative embodiment, the detection area of each site feature may be detected using a detection frame, for example: polygonal or elliptical frames, the frames being selected.
In this alternative embodiment, the target geometric parameter value corresponding to each structural feature includes the transverse diameter corresponding to the structural feature and/or the perimeter corresponding to the structural feature, so that the more the geometric parameter value includes, the more facilitates to improve the accuracy of judging that the structural feature matches the located standard tangent plane. The normal parameter value ranges corresponding to the different structural features can be the same or different. Further, different geometric parameter values of the same structural feature correspond to different normal parameter value ranges. Still further, the geometric parameter value corresponding to each structural feature may include a proportional size and/or an actual size. Specifically, after judging that the proportional size corresponding to the structural feature is within the predetermined normal parameter value range, further obtaining the actual size corresponding to the structural feature, judging whether the actual size is within the predetermined normal size range, and when the judging result is negative, determining that the structural feature is not matched with the standard tangent plane where the structural feature is located. Therefore, the accuracy of determining whether the structural features are matched with the located standard section can be improved by comparing the proportional size and the actual size of the structural features with the respective normal values, so that the occurrence of error correction of the section score of the abnormal standard section is reduced, and the accuracy and the reliability of correction of the section score of the abnormal standard section are improved.
In the alternative embodiment, when the structural feature is judged to be located in the detection area of the position feature corresponding to the structural feature, whether the structural feature exists in the multi-frame fetal ultrasonic image is judged, and when the judgment result is yes, the structural feature is determined to be not matched with the standard section where the structural feature exists. The multi-frame fetal ultrasonic image can be a fetal ultrasonic image which continuously or intermittently appears backwards by taking the fetal ultrasonic image with the structural characteristics as a first frame of fetal ultrasonic image. When the structural feature is judged to be in the detection area of the corresponding part feature, whether the structural feature is present in the multi-frame fetal ultrasonic image is further judged, if so, the structural feature is determined to be not matched with the standard tangent plane where the structural feature is located, and the accuracy of determining whether the structural feature is matched with the standard tangent plane where the structural feature is located can be improved, so that the occurrence of the situation of error correction of the tangent plane score of the abnormal standard tangent plane is reduced, and the correction accuracy and reliability of the tangent plane score of the abnormal standard tangent plane are improved.
The structural features of the numerical representation type and the feature morphology representation type are now illustrated separately:
(one) numerical value represents type: when the detected structural characteristic is the lateral ventricle critical widening characteristic, inputting the outline information of the lateral ventricle critical widening characteristic into a measuring module for measuring to obtain the transverse diameter (proportional size) of the lateral ventricle critical widening characteristic, judging whether the transverse diameter is larger than or equal to 12 pixels, and if so, judging that the lateral ventricle critical widening characteristic is an abnormal structural characteristic, namely the lateral ventricle critical widening characteristic is not matched with the standard section where the lateral ventricle critical widening characteristic is located. Further, after obtaining the transverse diameter of the lateral ventricle critical widening feature, calculating the actual size of the lateral ventricle critical widening feature according to the transverse diameter and the scale of the fetal ultrasonic image, and judging whether the actual size is more than or equal to 10mm, if so, the lateral ventricle critical widening feature is an abnormal structural feature, namely, the lateral ventricle critical widening feature is not matched with the standard section where the lateral ventricle critical widening feature is positioned. Still further, when it is determined that the lateral ventricle critical widening feature has a transverse diameter smaller than 12 pixels and/or the actual size of the lateral ventricle critical widening feature is smaller than 10mm, determining that the lateral ventricle critical widening feature is a normal structural feature, and modifying the lateral ventricle critical widening feature into a normal lateral ventricle feature, i.e. the lateral ventricle critical widening feature is matched with the located standard tangential plane.
(II) feature morphology represents type: and when the detected structural feature is the structural feature of the choroid slave cyst, detecting whether the structural feature of the choroid slave cyst is present in a detection area of the lateral ventricle, and when the structural feature of the choroid slave cyst is present in the detection area of the lateral ventricle, determining that the structural feature of the choroid slave cyst is an abnormal structural feature, namely determining that the structural feature of the choroid slave cyst is not matched with a standard section where the structural feature of the choroid slave cyst is located. Further, when the appearance of the structural feature of the choroid from the cyst is detected in the detection area of the lateral ventricle, judging whether the structural feature of the choroid from the cyst exists in the 4 frames of fetal ultrasonic images, and when the judging result is yes, determining that the structural feature of the choroid from the cyst is not matched with the standard section where the structural feature of the choroid from the cyst exists.
Therefore, when the structural feature of the fetal ultrasonic image is judged, the optional embodiment judges whether the structural feature is matched with the standard tangent plane where the structural feature is located or not through the obtained geometric parameter value of the structural feature or whether the structural feature is located in the detection area of the corresponding part feature or not, so that the judgment whether the structural feature is matched with the standard tangent plane where the structural feature is located or not is realized, and the possibility, accuracy and efficiency of determining whether the structural feature is matched with the standard tangent plane where the structural feature is located or not can be improved.
Therefore, after the standard section of the fetal ultrasonic image is obtained, the method for determining the optimal standard section of the fetus depicted in fig. 2 can be implemented without manual analysis to determine the optimal standard section of the fetal ultrasonic image, the section value of the standard section of the fetal ultrasonic image can be automatically determined, and the standard section with the highest section value is intelligently selected from all the section values, so that the automatic determination of the optimal standard section is realized, the determination accuracy and efficiency of the optimal standard section of the fetal ultrasonic image can be improved, and the growth and development conditions of the fetus can be accurately obtained.
Example III
Referring to fig. 3, fig. 3 is a flowchart illustrating a method for determining a section score of a standard section of a fetus according to an embodiment of the invention. The method for determining the section score of the standard section of the fetus described in fig. 3 may be applied to a standard section determining server (service device), where the standard section determining server may include a local standard section determining server or a cloud standard section determining server, which is not limited in the embodiment of the present invention. As shown in fig. 3, the method for determining the section value of the standard section of the fetus may include the following operations:
301. And determining a weight value corresponding to each structural feature of the standard section of each frame of fetal ultrasonic image.
In the embodiment of the invention, at least one structural feature exists in a standard section of each frame of fetal ultrasonic image, and each structural feature has a corresponding weight value.
302. And calculating the section score of the standard section of each frame of fetal ultrasonic image based on the weight value corresponding to each structural feature of each standard section and the feature parameters of the structural features.
In the embodiment of the present invention, for other descriptions of step 301 and step 302 and other schemes extended on the basis of step 301 and step 302, reference is made to the detailed descriptions of the related contents in the first embodiment and the second embodiment, which are not described in detail.
Therefore, by implementing the method for determining the optimal standard section of the fetus described in fig. 3, the weight value of each structural feature of the standard section can be combined with the feature parameters of the structural feature, so that the automatic calculation of the section value of the standard section can be realized, the calculation accuracy and efficiency of the section value of the standard section can be improved, the automatic determination of the optimal standard section can be realized, and the growth and development conditions of the fetus can be accurately obtained.
Example IV
Referring to fig. 4, fig. 4 is a schematic structural diagram of a determining device for an optimal standard section of a fetus according to an embodiment of the invention. The apparatus for determining the optimal standard tangent plane of the fetus depicted in fig. 4 may be applied to a standard tangent plane determination server (service device), where the standard tangent plane determination server may include a local standard tangent plane determination server or a cloud standard tangent plane determination server, which is not limited in the embodiment of the present invention. As shown in fig. 4, the determining device of the optimal standard tangential plane of the fetus may include an obtaining module 401, a first determining module 402, and a second determining module 403, where:
the obtaining module 401 is configured to obtain a standard section corresponding to each frame of fetal ultrasound image in the multiple frames of fetal ultrasound images.
A first determining module 402 is configured to determine a section score of a standard section of each frame of fetal ultrasound image.
The second determining module 403 is configured to determine, according to the section scores of all the standard sections, a standard section corresponding to the highest section score from all the standard sections, as an optimal standard section of all the fetal ultrasound images.
Therefore, the determining device for the optimal standard section of the fetus depicted in fig. 4 can automatically determine the section value of the standard section of the ultrasonic image of the fetus without manual analysis after the standard section of the ultrasonic image of the fetus is obtained, and intelligently select the standard section with the highest section value from all section values, thereby realizing automatic determination of the optimal standard section, improving the accuracy and efficiency of determining the optimal standard section of the ultrasonic image of the fetus, and further realizing accurate obtaining of the growth and development condition of the fetus.
In an alternative embodiment, as shown in fig. 5, the apparatus further includes a first determining module 404, where:
the first determining module 404 is configured to determine whether all the standard sections belong to the same category of standard sections after the first determining module 402 determines the section scores of the standard sections of each frame of the fetal ultrasound image, and trigger the second determining module 403 to execute the above-mentioned operation according to the section scores of all the standard sections, and determine the standard section corresponding to the highest section score from all the standard sections as the optimal standard section of all the fetal ultrasound images when it is determined that all the standard sections belong to the same category of standard sections.
Therefore, after the determining device described in fig. 5 is implemented, it can further determine that all the standard sections belong to the same category of standard sections after all the standard sections of the fetal ultrasound images are obtained, if yes, a subsequent operation is performed, so that the accuracy of determining the optimal standard section of the fetal ultrasound images can be improved; and determining whether all the standard tangential planes belong to the same category by providing the category based on the structural characteristics of the standard tangential planes and/or the tangential plane identification of the standard tangential planes, so that the determination modes of the standard tangential planes of the same category can be enriched, and the determination accuracy of the standard tangential planes of the same category can be improved.
In another alternative embodiment, as shown in fig. 5, the apparatus further comprises a classification module 405, wherein:
the classifying module 405 is configured to perform a classifying operation on the standard sections of all the fetal ultrasound images according to a preset classifying manner when the first judging module 404 judges that all the standard sections do not belong to the standard section of the same category, so as to obtain at least two standard section sets, where each standard section set includes at least one frame of standard section of the fetal ultrasound image, and all the standard sections included in each standard section set are standard sections of the same category.
The second determining module 403 determines, according to the section scores of all the standard sections, the standard section corresponding to the highest section score from all the standard sections, and the mode of serving as the optimal standard section is specifically as follows:
and determining the standard tangent plane corresponding to the highest tangent plane score from all the standard tangent planes included in each standard tangent plane set according to all the tangent plane scores corresponding to each standard tangent plane set, and taking the standard tangent plane corresponding to the highest tangent plane score as the optimal standard tangent plane corresponding to each standard tangent plane set.
Therefore, when the determining device described in fig. 5 is implemented to determine that the standard sections of all the fetal ultrasound images belong to different categories, the classifying operation is performed on all the standard sections, so that the standard sections of different categories can be obtained, thereby being beneficial to reducing the occurrence of the situation that the non-optimal standard section is obtained due to different categories of the sections, and further improving the determination accuracy and reliability of the optimal standard section corresponding to the standard section of different categories.
In yet another alternative embodiment, as shown in fig. 5, the apparatus may further include a normalization module 406 and a screening module 407, where:
the normalization module 406 is configured to determine, in the second determination module 403, a standard facet corresponding to a highest facet score from all the standard facets included in each standard facet set according to all the facet scores corresponding to each standard facet set, and perform a normalization operation on the facet score of the optimal standard facet corresponding to each standard facet set after the standard facet corresponding to the highest facet score is used as the optimal standard facet corresponding to each standard facet set, so as to obtain a normalized facet score of the optimal standard facet corresponding to each standard facet set.
The screening module 407 is configured to screen, according to the normalized all section scores, a standard section corresponding to the highest normalized section score from all standard sections, as an optimal standard section corresponding to all fetal ultrasound images.
Therefore, after the determining device described in fig. 5 is implemented to obtain the optimal standard section corresponding to the standard section of the different category, the normalization operation can be further performed on the section scores of the optimal standard section corresponding to the standard section of the different category, so that the section scores of the optimal standard section corresponding to the standard section of the different category are comparable, the accuracy and the efficiency of determining the optimal standard section corresponding to all the ultrasound images of the fetus are improved, and the growth and development conditions of the fetus are further facilitated to be accurately obtained.
In yet another alternative embodiment, as shown in FIG. 5, the apparatus further comprises a training module 408, wherein:
the obtaining module 401 is further configured to obtain a positive fetal ultrasound image sample and a negative fetal ultrasound image sample, where a pixel value of the positive fetal ultrasound image sample is greater than a pixel value of the negative fetal ultrasound image sample, and a key weight value influence factor of a structural feature of each positive fetal ultrasound image in the positive fetal ultrasound image sample and each negative fetal ultrasound image in the negative fetal ultrasound image sample includes a sharpness of the structural feature.
The training module 408 is configured to train the determined initial classification model based on the positive fetal ultrasound image sample and the negative fetal ultrasound image sample.
The obtaining module 401 is further configured to obtain the trained initial classification model as the determined classification model.
Therefore, the determining device described in fig. 5 can perform training operation on the initial classification model based on the sample fetal ultrasound image in advance, and can obtain the classification model which meets the requirements and is accurate, so that the analysis accuracy and reliability of the sub-weight values of the definition of the key weight value influence factors including the structural features are improved, and the calculation accuracy and efficiency of the weight values corresponding to the structural features are improved.
In yet another alternative embodiment, as shown in fig. 5, the apparatus further comprises a second determining module 409, wherein:
the second determining module 409 is configured to determine, according to the structural features of all the standard sections after the first determining module 402 determines the section values of the standard sections of each frame of the fetal ultrasound image, whether there are abnormal standard sections whose structural features are abnormal structural features in all the standard sections; when it is determined that no abnormal standard facet exists in all the standard facets, the second determining module 403 is triggered to execute the above operation of determining, according to all the facet scores, the standard facet corresponding to the highest facet score from all the standard facets, as the optimal standard facet.
Therefore, after the determining device described in fig. 5 is implemented, it is further determined whether the abnormal standard section exists in all the standard sections after the section values of the standard sections of the ultrasound image of the fetus are obtained, if not, the determining operation of the optimal standard section is continuously performed, so that the accuracy of determining the optimal standard section can be improved, and the accuracy of determining the optimal standard section is improved.
In yet another alternative embodiment, as shown in fig. 5, the apparatus further comprises a correction module 410, wherein:
The second determining module 403 is further configured to determine a score correction coefficient corresponding to each abnormal standard tangent plane when the second judging module 409 judges that at least one abnormal standard tangent plane exists in all the standard tangent planes.
The correction module 410 is configured to correct the tangent plane score of each abnormal standard tangent plane based on the score correction coefficient corresponding to the abnormal standard tangent plane, and trigger the second determining module 403 to execute the above-mentioned operation of determining the standard tangent plane corresponding to the highest tangent plane score from all the standard tangent planes according to all the tangent plane scores, as the optimal standard tangent plane.
Therefore, the determining device described in fig. 5 can further determine whether the abnormal standard section exists in all the standard sections after obtaining the section values of the standard sections of the fetal ultrasonic image, if so, the correction operation is performed on the section values of the abnormal standard sections based on the value correction coefficient, so that the accuracy of determining the section values of the abnormal standard sections can be improved, the situation that the obtaining of the optimal standard section is continuously performed when the abnormal standard section appears, and thus the non-optimal standard section is obtained is reduced, and the accuracy and the reliability of determining the optimal standard section when the abnormal standard section appears are improved.
In yet another alternative embodiment, as shown in fig. 5, the second determining module 409 determines, according to the structural features of all the standard sections, whether there are abnormal standard sections with structural features that are abnormal structural features in all the standard sections by:
acquiring target information of each structural feature of each standard tangent plane, wherein the target information of each structural feature is used for determining whether the standard tangent plane where the structural feature is positioned is an abnormal standard tangent plane;
judging whether each structural feature is matched with the standard tangent plane according to the target information of each structural feature of each standard tangent plane;
when judging that the non-matching structural features which are not matched with the standard tangential planes are in the structural features, determining that the abnormal standard tangential planes with the structural features being abnormal structural features are in the standard tangential planes, wherein the abnormal standard tangential planes are the standard tangential planes with the non-matching structural features.
Therefore, the determining device described in fig. 5 can determine the abnormal standard tangent plane by acquiring the target information of each structural feature of the standard tangent plane and judging whether each structural feature is matched with the corresponding standard tangent plane according to the target information of each structural feature.
In yet another alternative embodiment, at least one structural feature exists within a standard slice of each frame of fetal ultrasound image, each structural feature having a corresponding weight value; as shown in fig. 6, the first determination module 402 may include a determination submodule 4021 and a calculation submodule 4022, where:
the determining submodule 4021 is configured to determine a weight value corresponding to each structural feature of the standard tangential plane of each frame of the fetal ultrasound image.
The calculating submodule 4022 is configured to calculate a section score of the standard section of each frame of the fetal ultrasound image based on the weight value corresponding to each structural feature of each standard section and the feature parameter of the structural feature.
Therefore, the determining device described in fig. 6 can implement automatic calculation of the section score of the standard section by combining the weight value of each structural feature of the standard section with the feature parameters of the structural feature, so as to improve the accuracy and efficiency of calculating the section score of the standard section, and facilitate the automatic determination of the optimal standard section, thereby implementing accurate acquisition of the growth and development condition of the fetus.
In yet another alternative embodiment, as shown in fig. 7, a determination submodule 4021 includes a determination unit 40211 and a calculation unit 40212, wherein:
The determining unit 40211 is configured to determine key weight value influence factors corresponding to each structural feature of the standard section of each frame of the fetal ultrasound image, where the number of key weight value influence factors corresponding to each structural feature is greater than or equal to 1, and each key weight value influence factor has a corresponding sub-weight value.
The determining unit 40211 is further configured to determine, according to each key weight value influence factor corresponding to each structural feature, a sub-weight value corresponding to each key weight value influence factor.
The calculating unit 40212 is configured to calculate, as the weight value corresponding to each structural feature, a sum of all the sub-weight values corresponding to each structural feature.
Therefore, the determining device described in fig. 7 can be implemented to determine the key weight value influence factors corresponding to each structural feature in a targeted manner, and determine the sub-weight values corresponding to all the key weight value influence factors as the weight values corresponding to the structural feature, so that the calculation accuracy of the weight values of the structural feature can be improved, the calculation accuracy of the section scores of the corresponding standard sections can be improved, and the determination accuracy of the optimal standard sections can be improved.
In yet another alternative embodiment, as shown in fig. 7, the determining unit 40211 determines, according to each key weight influence factor corresponding to each structural feature, a sub weight value corresponding to each key weight influence factor in a specific manner:
For any structural feature, when the key weight value influence factor corresponding to the structural feature comprises the geometric parameter of the contour of the structural feature, determining the sub-weight value corresponding to the geometric parameter of the contour of the structural feature according to the geometric parameter of the contour of the structural feature, wherein the geometric parameter of the contour of the structural feature comprises the size and/or the area of the contour of the structural feature;
for any structural feature, when a key weight value influence factor corresponding to the structural feature comprises definition of the structural feature, inputting a fetal ultrasonic image corresponding to the structural feature into the determined classification model for analysis, and acquiring an analysis result output by the classification model as a sub weight value corresponding to the definition of the structural feature;
for any structural feature, when the key weight value influence factor corresponding to the structural feature comprises the integrity of the structural feature, calculating the geometric parameter corresponding to the structural feature according to the outline of the structural feature, and determining the sub-weight value corresponding to the integrity of the structural feature according to the geometric parameter corresponding to the structural feature;
for any structural feature, when the key weight value influence factor corresponding to the structural feature comprises the position of the structural feature in the standard tangent plane, calculating the area of an area surrounded by the outline of the structural feature, and determining the sub-weight value corresponding to the position of the structural feature in the standard tangent plane based on the relative position relation between the brain center line corresponding to the structural feature and the area surrounded by the outline of the structural feature.
Therefore, the determining device described in fig. 7 can select the corresponding determination mode of the sub-weight value according to different influence factors of the key weight value, so that not only can the acquisition of the sub-weight value corresponding to the influence factor of the key weight value be realized, but also the acquisition efficiency and the accuracy of the sub-weight value can be improved, thereby improving the calculation accuracy and the efficiency of the weight value corresponding to the structural feature, and further improving the calculation accuracy and the efficiency of the section value of the corresponding standard section.
In yet another alternative embodiment, as shown in fig. 5, the second determining module 403 is further configured to determine a duty ratio of the target feature of each frame of the fetal ultrasound image, where the duty ratio of the target feature is used to represent a display ratio of the target feature to the display device, and the target feature of each frame of the fetal ultrasound image includes the structural feature in the standard section of the fetal ultrasound image or the standard section of the fetal ultrasound image.
The second determining module 403 is further configured to determine a score coefficient corresponding to the ratio of the standard section of each frame of the fetal ultrasound image when the target feature of each frame of the fetal ultrasound image is the standard section of the fetal ultrasound image and after the first determining module 402 determines the section score of the standard section of each frame of the fetal ultrasound image.
The obtaining module 401 is further configured to correct the section score of the standard section of each frame of the fetal ultrasound image based on the section score of the standard section of each frame of the fetal ultrasound image corresponding to the ratio of the standard section to obtain the corrected section score of the standard section of each frame of the fetal ultrasound image, and trigger the second determining module 403 to execute the above-mentioned operation of determining the standard section corresponding to the highest section score from all the standard sections according to the section scores of all the standard sections, as the optimal standard section of all the fetal ultrasound images.
Therefore, after the determining device described in fig. 5 is implemented to obtain the section value of the standard section of the fetal ultrasound image, the section value is further updated according to the score coefficient corresponding to the ratio of the standard section of the obtained fetal ultrasound image to the display area of the current display device, so that the accuracy and reliability of determining the section value of the standard section of the fetal ultrasound image are improved, and the accuracy and reliability of determining the optimal standard section of the fetal ultrasound image are further improved.
In yet another alternative embodiment, as shown in fig. 7, the determining unit 40211 determines, according to each key weight influence factor corresponding to each structural feature, a sub weight value corresponding to each key weight influence factor in a specific manner:
When the target feature of each frame of fetal ultrasound image is a structural feature in a standard section of the fetal ultrasound image, for any structural feature, determining a sub-weight value matched with the duty ratio of the structural feature according to the duty ratio of the structural feature.
Therefore, the determining device described in fig. 7 can be implemented to calculate the duty ratio of the structural feature in the standard section of the fetal ultrasound image, determine the weight value corresponding to the structural feature, increase the calculation dimension of the weight value corresponding to the structural feature, further improve the calculation accuracy and reliability of the weight value corresponding to the structural feature, further improve the determination accuracy and reliability of the section value of the standard section of the fetal ultrasound image, and further improve the determination accuracy and reliability of the optimal standard section of the fetal ultrasound image.
In yet another alternative embodiment, as shown in fig. 7, the determining unit 40211 calculates geometric parameters corresponding to the structural feature according to the outline of the structural feature by:
calculating the length of the outline of the structural feature as a geometric parameter corresponding to the structural feature; and/or the number of the groups of groups,
determining a central point corresponding to the outline of the structural feature, and determining a central angle corresponding to the outline of the structural feature based on the central point corresponding to the outline of the structural feature and the outline of the structural feature as a geometric parameter corresponding to the structural feature; and/or the number of the groups of groups,
Fitting the outline of the structural feature based on the determined fitting method to obtain a target outline of the structural feature;
and calculating the length of the contour of the structural feature and the contour of the overlapping part of the target contour of the structural feature, and taking the length as the geometric parameter corresponding to the structural feature, and/or determining the center point corresponding to the target contour of the structural feature, and determining the center angle corresponding to the contour of the overlapping part based on the center point corresponding to the target contour of the structural feature and the contour of the overlapping part, and taking the center angle corresponding to the contour of the overlapping part as the geometric parameter corresponding to the structural feature.
Therefore, the determining device shown in fig. 7 can select different fitting modes according to the arc radius of the structural feature of the fetal ultrasonic image, so that not only can fitting of the structural feature be realized, but also the fitting efficiency and accuracy of the structural feature can be improved, and the calculation accuracy of the geometric parameter of the structural feature can be improved.
In yet another alternative embodiment, the feature parameters of each structural feature of each standard cut plane include a category probability of the structural feature and a location probability of the structural feature. As shown in fig. 6, the calculating submodule 4022 calculates the section score of the standard section of each frame of fetal ultrasound image based on the weight value corresponding to each structural feature of each standard section and the feature parameter of the structural feature specifically as follows:
Calculating a structural score corresponding to each structural feature of each standard tangent plane based on the weight value corresponding to each structural feature of each standard tangent plane, the category probability of the structural feature and the position probability of the structural feature;
and calculating the sum of the structure scores corresponding to all the structure features of each standard section, and taking the sum as the section score of the standard section of each frame of fetal ultrasonic image.
Therefore, the determining device shown in fig. 6 can calculate the section score of the standard section by calculating the structure score corresponding to each structure feature of the standard section, which is beneficial to improving the accuracy and efficiency of calculating the section score of the standard section; and selecting different parameters according to different structural characteristics, so that the calculation accuracy and efficiency of the structural scores corresponding to the structural characteristics can be improved, and the calculation accuracy and efficiency of the section scores of the standard sections are further improved.
Example five
Referring to fig. 8, fig. 8 is a schematic diagram illustrating another apparatus for determining an optimal tangential plane of a fetus according to an embodiment of the invention. The apparatus for determining the optimal standard tangent plane of the fetus depicted in fig. 8 may be applied to a standard tangent plane determination server (service device), where the standard tangent plane determination server may include a local standard tangent plane determination server or a cloud standard tangent plane determination server, which is not limited in the embodiment of the present invention. As shown in fig. 8, the apparatus for determining the optimal standard tangential plane of the fetus may include:
A memory 801 storing executable program code;
a processor 802 coupled to the memory 801;
further, an input interface 803 and an output interface 804 coupled to the processor 802 may also be included;
the processor 802 invokes executable program codes stored in the memory 801, for performing some or all of the steps in the method for determining the optimal standard tangential plane of a fetus described in the first or second embodiment.
Example six
The embodiment of the invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute part or all of the steps in the method for determining the optimal standard tangential plane of a fetus described in the first or second embodiment.
Example seven
An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform some or all of the steps of the method for determining an optimal standard tangential plane of a fetus described in the first or second embodiment.
The apparatus embodiments described above are merely illustrative, wherein the modules illustrated as separate components may or may not be physically separate, and the components shown as modules may or may not be physical, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above detailed description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product that may be stored in a computer-readable storage medium including Read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), one-time programmable Read-Only Memory (OTPROM), electrically erasable programmable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic disc Memory, tape Memory, or any other medium that can be used for computer-readable carrying or storing data.
Finally, it should be noted that: the method and the device for determining the optimal standard section of the fetus disclosed by the embodiment of the invention are disclosed as the preferred embodiment of the invention, and are only used for illustrating the technical scheme of the invention, but are not limited to the technical scheme; although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme recorded in the various embodiments can be modified or part of technical features in the technical scheme can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims (17)

1. A method for determining an optimal standard tangential plane for a fetus, the method comprising:
acquiring a standard section of each frame of fetal ultrasonic image in a plurality of frames of fetal ultrasonic images, and determining a section value of the standard section of each frame of fetal ultrasonic image;
determining a standard section corresponding to the highest section score from all the standard sections according to the section scores of all the standard sections, and taking the standard section as the optimal standard section of all the fetal ultrasonic images;
At least one structural feature exists in a standard section of each frame of the fetal ultrasonic image, and each structural feature has a corresponding weight value; wherein the determining the section score of the standard section of each frame of the fetal ultrasound image comprises:
determining a weight value corresponding to each structural feature of a standard section of each frame of the fetal ultrasonic image;
calculating the section score of the standard section of each frame of the fetal ultrasonic image based on the weight value corresponding to each structural feature of each standard section and the feature parameters of the structural feature;
wherein the determining the weight value corresponding to each structural feature of the standard section of each frame of the fetal ultrasound image includes:
determining key weight value influence factors corresponding to each structural feature of a standard section of each frame of the fetal ultrasonic image, wherein the number of the key weight value influence factors corresponding to each structural feature is greater than or equal to 1, and each key weight value influence factor has a corresponding sub-weight value;
and determining a sub-weight value corresponding to each key weight value influence factor according to each key weight value influence factor corresponding to each structural feature, and calculating the sum of all the sub-weight values corresponding to each structural feature as the weight value corresponding to each structural feature.
2. The method of claim 1, wherein after determining the section score of the standard section of each frame of the fetal ultrasound image, the method further comprises:
judging whether all the standard tangential planes belong to the standard tangential planes of the same category;
when all the standard sections belong to the same class of standard sections, triggering and executing the operation of determining the standard section corresponding to the highest section value from all the standard sections according to the section values of all the standard sections as the optimal standard section of all the fetal ultrasonic images.
3. The method of determining an optimal standard cut of a fetus according to claim 2, wherein the method further comprises:
when all the standard sections do not belong to the same type of standard section, performing classification operation on all the standard sections of the fetal ultrasonic image according to a preset classification mode to obtain at least two standard section sets, wherein each standard section set comprises at least one frame of standard section of the fetal ultrasonic image, and all the standard sections included in each standard section set are standard sections of the same type;
And determining a standard tangent plane corresponding to the highest tangent plane score from all the standard tangent planes according to the tangent plane scores of all the standard tangent planes, wherein the determining the standard tangent plane corresponding to the highest tangent plane score as the optimal standard tangent plane comprises the following steps:
and determining a standard tangent plane corresponding to the highest tangent plane score from all the standard tangent planes included in each standard tangent plane set according to all the tangent plane scores corresponding to each standard tangent plane set, and taking the standard tangent plane corresponding to the highest tangent plane score as an optimal standard tangent plane corresponding to each standard tangent plane set.
4. A method for determining an optimal standard tangential plane of a fetus according to claim 3, wherein the method further comprises, after determining, from all the standard tangential planes included in each of the standard tangential plane sets, a standard tangential plane corresponding to a highest tangential plane score according to all the tangential plane scores corresponding to each of the standard tangential plane sets, as the optimal standard tangential plane corresponding to each of the standard tangential plane sets:
performing normalization operation on the section scores of the optimal standard sections corresponding to each standard section set to obtain the section scores of the optimal standard sections corresponding to each standard section set after normalization;
and screening the standard section corresponding to the highest normalized section score from all the standard sections according to the normalized section scores, and taking the standard section as the optimal standard section corresponding to all the fetal ultrasonic images.
5. The method of determining a fetal optimal standard tangential plane as set forth in any one of claims 1 to 4, wherein determining a sub-weight value corresponding to each of the key weight value influencing factors according to each of the key weight value influencing factors corresponding to each of the structural features comprises:
for any structural feature, when the key weight value influence factor corresponding to the structural feature comprises the geometric parameter of the contour of the structural feature, determining a sub-weight value corresponding to the geometric parameter of the contour of the structural feature according to the geometric parameter of the contour of the structural feature, wherein the geometric parameter of the contour of the structural feature comprises the size and/or the area of the contour of the structural feature;
for any structural feature, when the key weight value influence factor corresponding to the structural feature comprises the definition of the structural feature, inputting the fetal ultrasonic image corresponding to the structural feature into a determined classification model for analysis, and acquiring an analysis result output by the classification model as a sub-weight value corresponding to the definition of the structural feature;
for any structural feature, when the key weight value influence factor corresponding to the structural feature comprises the integrity of the structural feature, calculating the geometric parameter corresponding to the structural feature according to the outline of the structural feature, and determining the sub-weight value corresponding to the integrity of the structural feature according to the geometric parameter corresponding to the structural feature;
For any structural feature, when the key weight value influence factor corresponding to the structural feature comprises the position of the structural feature in the standard tangent plane, determining the sub-weight value corresponding to the position of the structural feature in the standard tangent plane based on the relative position relation between the central line of the brain corresponding to the structural feature and the area surrounded by the outline of the structural feature.
6. The method of determining an optimal standard cut of a fetus according to claim 5, wherein the method further comprises:
determining the duty ratio of the target feature of each frame of the fetal ultrasonic image, wherein the duty ratio of the target feature is used for representing the display proportion of the target feature to a display device where the target feature is located, and the target feature of each frame of the fetal ultrasonic image comprises a standard section of the fetal ultrasonic image or a structural feature in the standard section of the fetal ultrasonic image;
and when the target feature of each frame of the fetal ultrasound image is a standard tangent plane of the fetal ultrasound image, after determining the tangent plane score of the standard tangent plane of each frame of the fetal ultrasound image, the method further comprises:
determining a score coefficient corresponding to the duty ratio of the standard tangent plane of each frame of the fetal ultrasonic image, correcting the tangent plane score of the standard tangent plane of the fetal ultrasonic image based on the score coefficient corresponding to the duty ratio of the standard tangent plane of each frame of the fetal ultrasonic image, obtaining the corrected tangent plane score of the standard tangent plane of each frame of the fetal ultrasonic image, triggering and executing the tangent plane score according to all the standard tangent planes, and determining the standard tangent plane corresponding to the highest tangent plane score from all the standard tangent planes as the operation of the optimal standard tangent plane of all the fetal ultrasonic images;
When the target feature of each frame of the fetal ultrasound image is a structural feature in a standard section of the fetal ultrasound image, determining a sub-weight value corresponding to each key weight value influence factor according to each key weight value influence factor corresponding to each structural feature includes:
for any structural feature, determining a sub-weight value matched with the duty ratio of the structural feature according to the duty ratio of the structural feature.
7. The method of determining an optimal standard tangential plane for a fetus according to claim 5, wherein the calculating the geometric parameters corresponding to the structural feature according to the contour of the structural feature comprises:
calculating the length of the outline of the structural feature as a geometric parameter corresponding to the structural feature; and/or the number of the groups of groups,
determining a central point corresponding to the outline of the structural feature, and determining a central angle corresponding to the outline of the structural feature based on the central point corresponding to the outline of the structural feature and the outline of the structural feature as a geometric parameter corresponding to the structural feature; and/or the number of the groups of groups,
fitting the contour of the structural feature based on the determined fitting method to obtain a target contour of the structural feature;
And calculating the length of the contour of the structural feature and the contour of the overlapping part of the target contour of the structural feature, and taking the length as the geometric parameter corresponding to the structural feature, and/or determining the center point corresponding to the target contour of the structural feature, and determining the center angle corresponding to the contour of the overlapping part based on the center point corresponding to the target contour of the structural feature and the contour of the overlapping part, and taking the center angle as the geometric parameter corresponding to the structural feature.
8. A method of determining an optimal standard cut for a fetus according to claim 6 or 7, wherein the method comprises:
acquiring a positive fetal ultrasonic image sample and a negative fetal ultrasonic image sample, wherein the pixel value of the positive fetal ultrasonic image sample is larger than that of the negative fetal ultrasonic image sample, and the key weight value influence factors of the structural characteristics of each positive fetal ultrasonic image in the positive fetal ultrasonic image sample and each negative fetal ultrasonic image in the negative fetal ultrasonic image sample comprise the definition of the structural characteristics;
and training the determined initial classification model based on the positive fetal ultrasonic image sample and the negative fetal ultrasonic image sample, and acquiring the trained initial classification model as the determined classification model.
9. The method of determining an optimal standard tangential plane for a fetus according to claim 1, 2, 3, 4, 6 or 7, wherein the characteristic parameters of each of the structural features of each standard tangential plane comprise a class probability of the structural feature and a location probability of the structural feature;
the calculating the section score of the standard section of each frame of the fetal ultrasound image based on the weight value corresponding to each structural feature of each standard section and the feature parameters of the structural feature comprises the following steps:
calculating a structural score corresponding to each structural feature of each standard tangent plane based on a weight value corresponding to each structural feature of each standard tangent plane, a category probability of the structural feature and a position probability of the structural feature;
and calculating the sum of the structure scores corresponding to all the structure features of each standard section as the section score of the standard section of each frame of fetal ultrasonic image.
10. The method of claim 1, 2, 3, 4, 6 or 7, wherein after determining the section score of the standard section of each frame of the fetal ultrasound image, the method further comprises:
Judging whether abnormal standard tangential planes with the structural characteristics being abnormal structural characteristics exist in all the standard tangential planes according to the structural characteristics of all the standard tangential planes;
and when judging that the abnormal standard section does not exist in all the standard sections, triggering and executing the operation of determining the standard section corresponding to the highest section score from all the standard sections according to all the section scores as the optimal standard section.
11. The method of determining an optimal standard cut of a fetus according to claim 10, wherein the method comprises:
when judging that at least one abnormal standard section exists in all the standard sections, determining a score correction coefficient corresponding to each abnormal standard section;
correcting the section values of the abnormal standard section based on the value correction coefficient corresponding to each abnormal standard section, and triggering and executing the operation of determining the standard section corresponding to the highest section value from all the standard sections according to all the section values as the optimal standard section.
12. The method for determining an optimal standard tangential plane of a fetus according to claim 11, wherein the step of determining whether an abnormal standard tangential plane having a structural feature that is an abnormal structural feature exists in all the standard tangential planes according to the structural features of all the standard tangential planes comprises:
Acquiring target information of each structural feature of each standard tangent plane, wherein the target information of each structural feature is used for determining whether the standard tangent plane where the structural feature is positioned is an abnormal standard tangent plane;
judging whether each structural feature is matched with the standard tangent plane according to the target information of each structural feature of each standard tangent plane;
when judging that non-matching structural features which are not matched with the standard tangential planes are in the structural features, determining that abnormal standard tangential planes with structural features being abnormal structural features are in the standard tangential planes, wherein the abnormal standard tangential planes are standard tangential planes with the non-matching structural features.
13. The method of claim 5, wherein the feature parameters of each of the structural features of each of the standard cuts include a category probability of the structural feature and a location probability of the structural feature;
the calculating the section score of the standard section of each frame of the fetal ultrasound image based on the weight value corresponding to each structural feature of each standard section and the feature parameters of the structural feature comprises the following steps:
Calculating a structural score corresponding to each structural feature of each standard tangent plane based on a weight value corresponding to each structural feature of each standard tangent plane, a category probability of the structural feature and a position probability of the structural feature;
and calculating the sum of the structure scores corresponding to all the structure features of each standard section as the section score of the standard section of each frame of fetal ultrasonic image.
14. The method of claim 8, wherein the feature parameters of each of the structural features of each of the standard cuts include a category probability of the structural feature and a location probability of the structural feature;
the calculating the section score of the standard section of each frame of the fetal ultrasound image based on the weight value corresponding to each structural feature of each standard section and the feature parameters of the structural feature comprises the following steps:
calculating a structural score corresponding to each structural feature of each standard tangent plane based on a weight value corresponding to each structural feature of each standard tangent plane, a category probability of the structural feature and a position probability of the structural feature;
And calculating the sum of the structure scores corresponding to all the structure features of each standard section as the section score of the standard section of each frame of fetal ultrasonic image.
15. The method of claim 5, wherein after determining the section score of the standard section of each frame of the fetal ultrasound image, the method further comprises:
judging whether abnormal standard tangential planes with the structural characteristics being abnormal structural characteristics exist in all the standard tangential planes according to the structural characteristics of all the standard tangential planes;
and when judging that the abnormal standard section does not exist in all the standard sections, triggering and executing the operation of determining the standard section corresponding to the highest section score from all the standard sections according to all the section scores as the optimal standard section.
16. A device for determining an optimal standard tangential plane for a fetus, the device comprising:
the acquisition module is used for acquiring a standard section corresponding to each frame of fetal ultrasonic image in the multi-frame fetal ultrasonic images;
the first determining module is used for determining the section value of the standard section of each frame of the fetal ultrasonic image;
The second determining module is used for determining a standard tangent plane corresponding to the highest tangent plane score from all the standard tangent planes according to the tangent plane scores of all the standard tangent planes, and taking the standard tangent plane as an optimal standard tangent plane of all the fetal ultrasonic images;
at least one structural feature exists in a standard section of each frame of the fetal ultrasonic image, and each structural feature has a corresponding weight value; wherein, the first determination module includes a determination sub-module and a calculation sub-module, wherein:
the determining submodule is used for determining a weight value corresponding to each structural feature of the standard section of each frame of the fetal ultrasonic image;
the calculating submodule is used for calculating the section score of the standard section of each frame of the fetal ultrasonic image based on the weight value corresponding to each structural feature of each standard section and the feature parameters of the structural feature;
the determining submodule comprises a determining unit and a calculating unit, wherein:
the determining unit is used for determining key weight value influence factors corresponding to each structural feature of the standard section of each frame of the fetal ultrasonic image, the number of the key weight value influence factors corresponding to each structural feature is greater than or equal to 1, and each key weight value influence factor has a corresponding sub-weight value;
The determining unit is further configured to determine a sub-weight value corresponding to each key weight value influence factor according to each key weight value influence factor corresponding to each structural feature;
and the calculating unit is used for calculating the sum of all the sub-weight values corresponding to each structural feature as the weight value corresponding to each structural feature.
17. A device for determining an optimal standard tangential plane for a fetus, the device comprising:
a memory storing executable program code;
a processor coupled to the memory;
the processor invokes the executable program code stored in the memory to perform the method of determining the optimal standard cut of a fetus according to any one of claims 1-15.
CN202011015507.6A 2020-09-24 2020-09-24 Method and device for determining optimal standard section of fetus Active CN112155602B (en)

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