CN109009226A - A kind of method of 3-D supersonic imaging - Google Patents

A kind of method of 3-D supersonic imaging Download PDF

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Publication number
CN109009226A
CN109009226A CN201810827517.6A CN201810827517A CN109009226A CN 109009226 A CN109009226 A CN 109009226A CN 201810827517 A CN201810827517 A CN 201810827517A CN 109009226 A CN109009226 A CN 109009226A
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dimensional data
smoothing processing
median sagittal
plane
voxel
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邱林新
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Large Shenzhen Kechuang Technology Development Co Ltd
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Large Shenzhen Kechuang Technology Development Co Ltd
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/08Detecting organic movements or changes, e.g. tumours, cysts, swellings
    • A61B8/0866Detecting organic movements or changes, e.g. tumours, cysts, swellings involving foetal diagnosis; pre-natal or peri-natal diagnosis of the baby
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/48Diagnostic techniques
    • A61B8/483Diagnostic techniques involving the acquisition of a 3D volume of data

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Pathology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Gynecology & Obstetrics (AREA)
  • Pregnancy & Childbirth (AREA)
  • Ultra Sonic Daignosis Equipment (AREA)

Abstract

The present invention provides a kind of methods of 3-D supersonic imaging, comprising: emits ultrasonic wave to fetus head;Ultrasonic echo is received, ultrasound echo signal is obtained;The three-dimensional data of fetus head is obtained according to the ultrasound echo signal;Multiple smoothing processing is carried out to three-dimensional data;According to the feature of fetus head median sagittal section, median sagittal section is detected from the three-dimensional data after smoothing processing;Show the median sagittal section.The present invention can carry out the three-dimensional data that ultrasonic scanning obtains fetus head to fetus, and the three-dimensional data of acquisition is smoothed, the median sagittal section of Fetal Brain is detected automatically according to the three-dimensional data after smoothing processing and is shown, solves the problems, such as that doctor is difficult to that median sagittal section is accurately positioned manually.

Description

A kind of method of 3-D supersonic imaging
Technical field
The present invention relates to medical ultrasound imaging technical fields, and in particular to a kind of method of 3-D supersonic imaging.
Background technique
Ultrasonic instrument is generally used for the internal organizational structure that doctor observes human body, and ultrasonic probe is placed on human body by doctor Corresponding skin surface, the ultrasound image at the available position.Ultrasound due to it conveniently, safely, it is lossless, cheap the features such as, Have become one of the main supplementary means of diagnosis.
In fetal central nervous system inspection, corpus callosum and vermis of cerebellum are two critically important inspection items, wherein callosity Body is maximum commissural fibre in cerebral hemisphere, be responsible for brain hemispheres between communication, missing or depauperation will lead to epilepsy, A series of complication such as feeblemindedness, dyskinesia.Vermian missing or depauperation are Dandy-walker The performance of syndrome, 50% Dandy-walker patient has psychomotor development sluggish and feeblemindedness, and is often accompanied by dyeing Body is abnormal and other deformities, poor prognosis, the death rate are high.
In recent years, the extensive use with three-D ultrasonic clinically, part doctor by using Double Tops radial longitudinal section as rise Beginning plane carries out three-dimensional scanning to fetus, and then passing through the geometric transformations such as can be manually rotated, translate, the third plane in 3D ultrasound Median sagittal plane is recalled, corpus callosum and vermis of cerebellum are checked under the section.As can be seen that using from various open selected works Although the picture quality for the sagittal plane that this method obtains is slightly poorer than two dimensional image, corpus callosum and vermian display rate are non- Chang Gao can quickly and accurately judge whether corpus callosum and vermis of cerebellum are abnormal by this method.However, doctor needs to three Dimension space has very deep understanding, can adjust out median sagittal plane by can be manually rotated, translating geometric operation at 3D.
Summary of the invention
In view of the above-mentioned problems, the present invention provides a kind of method of 3-D supersonic imaging.
The purpose of the present invention is realized using following technical scheme:
A kind of method of 3-D supersonic imaging is provided, this method comprises:
Emit ultrasonic wave to fetus head;
Ultrasonic echo is received, ultrasound echo signal is obtained;
The three-dimensional data of fetus head is obtained according to the ultrasound echo signal;
Multiple smoothing processing is carried out to three-dimensional data;
According to the feature of fetus head median sagittal section, median sagittal is detected from the three-dimensional data after smoothing processing Section;
Show the median sagittal section.
Preferably, according to the gray feature of fetus head median sagittal section, from the three-dimensional data after smoothing processing Detect the median sagittal section.
Preferably, the median sagittal section is detected from the three-dimensional data after smoothing processing, comprising:
It extracts to represent in three-dimensional data after smoothing processing and meets the ash that the gray value in plane is greater than plane two sides The sagittal plane characteristic area of the plane of the condition of angle value;
At least three characteristic points are selected from the sagittal plane characteristic area;
The plane where the median sagittal section is determined according at least three feature points.
In another preferred scheme, the median sagittal section is detected from the three-dimensional data after smoothing processing, Include:
At least two sections are extracted in the three-dimensional data;
It is greater than the feature of the gray value of brain middle line two sides according to the gray value of brain middle line, is mentioned at least two section Brain middle line is taken, at least two brain middle lines are obtained;
The plane where the median sagittal plane is determined according to the plane that at least two brain middle lines limit.
The invention has the benefit that the three-dimensional data that ultrasonic scanning obtains fetus head can be carried out to fetus, and The three-dimensional data of acquisition is smoothed, Fetal Brain is being detected just according to the three-dimensional data after smoothing processing automatically Middle sagittal section is simultaneously shown solve the problems, such as that doctor is difficult to that median sagittal section is accurately positioned manually, so that doctor can The case where easily to observe Fetal Brain median sagittal section, can provide a large amount of important key messages for doctor.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings Other attached drawings.
Fig. 1 is the flow chart of the 3-D supersonic imaging method of an illustrative embodiment of the invention;
Fig. 2 is the method flow that multiple smoothing processing is carried out to three-dimensional data of an illustrative embodiment of the invention Figure.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, the embodiment of the invention provides a kind of methods of 3-D supersonic imaging, this method comprises:
S01 emits ultrasonic wave to fetus head.
S02 receives ultrasonic echo, obtains ultrasound echo signal.
S03 obtains the three-dimensional data of fetus head according to the ultrasound echo signal.
S04 carries out multiple smoothing processing to three-dimensional data.
S05 detects center according to the feature of fetus head median sagittal section from the three-dimensional data after smoothing processing Sagittal section.In a kind of mode that can be realized, according to the gray feature of fetus head median sagittal section, from smoothing processing The median sagittal section is detected in three-dimensional data afterwards.
In one embodiment, the median sagittal section is detected from the three-dimensional data after smoothing processing, comprising:
It extracts to represent in three-dimensional data after smoothing processing and meets the ash that the gray value in plane is greater than plane two sides The sagittal plane characteristic area of the plane of the condition of angle value;
At least three characteristic points are selected from the sagittal plane characteristic area;
The plane where the median sagittal section is determined according at least three feature points.
In another embodiment, the median sagittal section is detected from the three-dimensional data after smoothing processing, comprising:
At least two sections are extracted in the three-dimensional data;
It is greater than the feature of the gray value of brain middle line two sides according to the gray value of brain middle line, is mentioned at least two section Brain middle line is taken, at least two brain middle lines are obtained;
The plane where the median sagittal plane is determined according to the plane that at least two brain middle lines limit.
The method of the 3-D supersonic imaging of the above embodiment of the present invention can carry out ultrasonic scanning to fetus and obtain fetal head The three-dimensional data in portion, and the three-dimensional data of acquisition is smoothed, certainly according to the three-dimensional data after smoothing processing The median sagittal section of dynamic detection Fetal Brain is simultaneously shown solve doctor and be difficult to that median sagittal section is accurately positioned manually The problem of, so that the case where doctor observes Fetal Brain median sagittal section in which can be convenient, can provide a large amount of weights for doctor The key message wanted.
As shown in Fig. 2, in step S04, it is described that multiple smoothing processing is carried out to three-dimensional data, comprising:
S10 uses the first L0Gradient minimisation model carries out first smoothing processing to three-dimensional data;
S11 carries out secondary smoothing processing to the three-dimensional data after first smoothing processing using Gaussian filter;
S12 is to the blurring three-dimensional data generated after secondary smoothing processing, using the 2nd L0Gradient minimisation model into Row smoothing processing.
Noise is inevitably introduced into three-dimensional data acquisition process, this noise like would generally pollute said three-dimensional body Important feature in data, to influence the detection to subsequent median sagittal section.In the prior art, L0Gradient minimisation model Essence be done under an Optimization Framework sparse gradient statistics, L0Gradient minimisation model passes through control non-zero image gradient Number enhance image prominent edge part, successively reach the global optimization of image.If only passing through L0Gradient minimisation method Noise is handled, although can globally retain important feature and the region of volume data with equivalent form, cannot efficiently be gone Except borderline noise.And gaussian filtering is most widely used smoothing filter, Gaussian convolution for flat site have compared with Good effect, but in boundary or the place of detail textures, it will generate and obscure or cross smooth effect.Lacking based on the prior art Fall into, the present embodiment improves filter method in the prior art, innovatively propose it is a kind of to collected three-dimensional data into The mechanism of the multiple smoothing processing of row uses the first L in the mechanism first0Gradient minimisation model carries out three-dimensional data first Smoothing processing globally can retain important feature and region with equivalent form, then be carried out using Gaussian filter secondary flat It is sliding, the 2nd L is used to the secondary blurring three-dimensional data smoothly generated0Gradient minimisation model is smoothed, can Effectively enhance boundary information, to be beneficial to the subsequent feature according to fetus head median sagittal section, after smoothing processing Three-dimensional data in detect median sagittal section, improve the efficiency of detection.
In one embodiment, three-dimensional of the three-dimensional data as Q, after first smoothing processing before setting first smoothing processing Volume data is Q ', sets the first L0The objective function of gradient minimisation model are as follows:
Wherein
E (Q ')=# i | | B 'i,x|+|B′i,y|+|B′i,z|≠0}
In formula, λ is the weight coefficient for controlling smooth item E (Q '), and by artificially being set, # { } is indicated the occurrence of λ One statistical operation meets for counting | B 'i,x|+| B 'i,y|+|B′i,z| the number of the voxel of result non-zero, wherein B 'i,xFor In three-dimensional data after first smoothing processing i-th of voxel in the x-direction with the scalar value difference of nearest voxel, B 'i,yTo put down for the first time In sliding treated three-dimensional data i-th of voxel in the y-direction with the scalar value difference of nearest voxel, B 'i,zFor first smoothing processing In three-dimensional data afterwards i-th of voxel in the z-direction with the scalar value difference of nearest voxel.
The present embodiment is to L0The objective function of gradient minimisation model improves, so that L0Gradient minimisation method can Suitable for handling three-dimensional data, wherein the specific formula for calculation for setting smooth item E (Q ') can by the calculation formula Preferably, more easily estimate the gradient information in three-dimensional data, improve and collected three-dimensional data is carried out for the first time The efficiency of smoothing processing.
In one embodiment, if the blurring three-dimensional data before smoothing processing is P, the blurring three after smoothing processing Dimension volume data is P ', sets the 2nd L0The objective function of gradient minimisation model are as follows:
Wherein
In formula, λ is the weight coefficient for controlling smooth item E (Q '), and by artificially being set, # { } is indicated the occurrence of λ One statistical operation meets for countingAs a result the number of the voxel of non-zero, wherein B 'j,xFor In blurring three-dimensional data after smoothing processing j-th of voxel in the x-direction with the scalar value difference of nearest voxel, B 'j,yIt is smooth Treated blurring three-dimensional data in j-th of voxel in the y-direction with the scalar value difference of nearest voxel, B 'j,zFor smoothing processing In blurring three-dimensional data afterwards j-th of voxel in the z-direction with the scalar value difference of nearest voxel.
The present embodiment is to L0The objective function of gradient minimisation model improves, so that L0Gradient minimisation method can It is blurred three-dimensional data suitable for processing, wherein setting the specific formula for calculation of smooth item E (Q '), passes through calculating public affairs Formula, can preferably, the more easily gradient information in ambiguous estimation three-dimensional data, improve to blurring said three-dimensional body number According to the efficiency being smoothed.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention Matter and range.

Claims (6)

1. a kind of method of 3-D supersonic imaging, characterized in that include:
Emit ultrasonic wave to fetus head;
Ultrasonic echo is received, ultrasound echo signal is obtained;
The three-dimensional data of fetus head is obtained according to the ultrasound echo signal;
Multiple smoothing processing is carried out to three-dimensional data;
According to the feature of fetus head median sagittal section, median sagittal is detected from the three-dimensional data after smoothing processing and is cut Face;
Show the median sagittal section.
2. a kind of method of 3-D supersonic imaging according to claim 1, characterized in that according to fetus head median sagittal The gray feature of section detects the median sagittal section from the three-dimensional data after smoothing processing.
3. a kind of method of 3-D supersonic imaging according to claim 2, characterized in that from the said three-dimensional body after smoothing processing The median sagittal section is detected in data, comprising:
It extracts to represent in three-dimensional data after smoothing processing and meets the gray value that the gray value in plane is greater than plane two sides Condition plane sagittal plane characteristic area;
At least three characteristic points are selected from the sagittal plane characteristic area;
The plane where the median sagittal section is determined according at least three feature points.
4. a kind of method of 3-D supersonic imaging according to claim 2, characterized in that from the said three-dimensional body after smoothing processing The median sagittal section is detected in data, comprising:
At least two sections are extracted in the three-dimensional data;
It is greater than the feature of the gray value of brain middle line two sides according to the gray value of brain middle line, extracts brain at least two section Middle line obtains at least two brain middle lines;
The plane where the median sagittal plane is determined according to the plane that at least two brain middle lines limit.
5. a kind of method of 3-D supersonic imaging according to claim 1, characterized in that described to be carried out to three-dimensional data Multiple smoothing processing, comprising:
(1) the first L is used0The three-dimensional data of gradient minimisation model pair carries out first smoothing processing;
(2) secondary smoothing processing is carried out to the three-dimensional data after first smoothing processing using Gaussian filter;
(3) to the blurring three-dimensional data generated after secondary smoothing processing, using the 2nd L0Gradient minimisation model carries out smooth Processing.
6. a kind of method of 3-D supersonic imaging according to claim 1, characterized in that before setting first smoothing processing Three-dimensional data is Q, and the three-dimensional data after first smoothing processing is Q ', sets the first L0The target letter of gradient minimisation model Number are as follows:
Wherein
E (Q ')=# i | | B 'I, x|+|B′I, y|+|B′I, z|≠0}
In formula, λ is the weight coefficient for controlling smooth item E (Q '), and for the occurrence of λ by artificially being set, # { } indicates one Statistical operation meets for counting | B 'I, x|+|B′I, y|+|B′I, z| the number of the voxel of result non-zero, wherein B 'I, xIt is first In three-dimensional data after smoothing processing i-th of voxel in the x-direction with the scalar value difference of nearest voxel, B 'I, yFor first smooth place In three-dimensional data after reason i-th of voxel in the y-direction with the scalar value difference of nearest voxel, B 'I, zAfter first smoothing processing In three-dimensional data i-th of voxel in the z-direction with the scalar value difference of nearest voxel.
CN201810827517.6A 2018-07-25 2018-07-25 A kind of method of 3-D supersonic imaging Pending CN109009226A (en)

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