CN111035405A - Automatic system for CT image diagnosis - Google Patents
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- 238000002591 computed tomography Methods 0.000 claims abstract description 31
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- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/04—Positioning of patients; Tiltable beds or the like
- A61B6/0492—Positioning of patients; Tiltable beds or the like using markers or indicia for aiding patient positioning
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- A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
- A61B6/5217—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data extracting a diagnostic or physiological parameter from medical diagnostic data
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Abstract
The invention discloses a CT image diagnosis automatic system, which comprises a CT host, a CT scanning bed, a CT scanning workstation and an image automatic diagnosis system built in the CT scanning workstation, wherein the image automatic diagnosis system comprises a CT examination task mining module, an image acquisition module, an examination path generation module, a CT image import module, a CT image automatic analysis module and a diagnosis result storage and uploading module; and the generation of the working flow of the CT host and the moving path of the CT scanning bed is realized according to the excavated CT examination task information. The invention realizes automatic acquisition and automatic diagnosis of CT images, realizes the repeatability of body positions and improves the accuracy of CT image registration and comparison.
Description
Technical Field
The invention relates to the field of medical systems, in particular to a CT image diagnosis automatic system.
Background
Ct (computed tomography), that is, electronic computed tomography, uses a precisely collimated X-ray beam and a highly sensitive detector to perform cross-sectional scanning one by one around a certain part of a human body, has the characteristics of fast scanning time, clear image and the like, and can be used for the examination of various diseases.
At present, the acquisition process of the CT image mostly needs to manually guide and adjust the supine/side/lying body positions of a patient, the workload is large, the acquisition process of the CT image also needs to be manually operated and regulated, and the working capacity of a worker determines the quality of the CT image.
Meanwhile, as is known, the registration and fusion processing of the images can bring richer image information and is convenient for image diagnosis; however, since the body position is difficult to restore and the body position is difficult to keep consistent even if the patient is rescanned in the same disease, the CT image registration and comparison at present often has low accuracy and poor effect.
Disclosure of Invention
In order to solve the problems, the invention provides an automatic CT image diagnosis system, which realizes automatic acquisition and automatic diagnosis of CT images, realizes the repeatability of body positions and improves the accuracy of CT image registration and comparison.
In order to achieve the purpose, the invention adopts the technical scheme that:
an automatic CT image diagnosis system comprises a CT host, a CT scanning bed, a CT scanning workstation and an automatic image diagnosis system built in the CT scanning workstation, wherein the automatic image diagnosis system comprises:
the CT examination task mining module is used for mining CT examination task information of the patient in the upper end server, wherein the CT examination task information at least comprises basic information of the patient and corresponding CT examination part information;
the image acquisition module is used for acquiring a whole-body image of a patient;
the examination path generation module is used for calling corresponding voice guidance audio of the patient lying on the back/on the side/on the back according to the body image information of the patient and the corresponding CT examination part information and generating a corresponding projection image; generating a working flow of a CT host and a moving path of a CT scanning bed according to the excavated CT examination task information;
the CT image import module is used for importing the CT image collected by the CT host;
the CT image automatic analysis module is used for identifying abnormal regions in the CT image based on a DSOD algorithm and outputting a corresponding diagnosis report according to an identification result;
and the diagnosis result storage and uploading module is used for finishing the storage and uploading operation of the CT image and the corresponding diagnosis report.
Further, the device also comprises a projector with a traveling wheel, and the projector is used for projecting the projection image to a position corresponding to the CT scanning bed, so that the patient can complete the supine/side/lying operation according to the projection image.
Furthermore, the image acquisition module adopts a camera with a distance measurement probe, and the camera is slidably mounted on a support with a walking wheel through a sliding block.
Further, the automatic CT image analysis module firstly selects a corresponding region of interest in the CT image according to the CT examination location information, then realizes the identification of abnormal regions in the region of interest based on the DSOD algorithm, and then outputs a corresponding diagnosis report according to the identification result based on the inclusion V3 deep neural network.
Further, the image automatic diagnosis system further comprises: the system comprises a supine/side/flat lying operation completion command input module, an image acquisition module, a CT scanning workstation and a voice guidance module, wherein the image acquisition module is used for acquiring supine/side/flat lying images of a patient, comparing the acquired images with a target image, if the difference is smaller than a preset threshold, the standard is considered, the supine/side/flat lying operation completion command input is completed, the CT scanning workstation starts a CT host and a CT scanning bed to execute corresponding work flow and moving path when receiving a corresponding supine/side/flat lying operation completion command, and simultaneously guides the whole scanning process by corresponding audio data, and if the supine/side/flat lying operation completion command is not standard, the voice guidance module is started to realize the corresponding guidance of playing audio data.
Further, the supine/side/lying operation completion command entry module acquires human body depth information and skeleton information based on a kinect depth sensor, calculates and acquires angular rotation movement SO3 matrix information of all skeleton pairs after eliminating jitter and noise interference of skeleton information acquired by a lock, compares the calculated angular rotation movement SO3 matrix information of the skeleton pairs with recorded standard posture information, determines that the skeleton pairs are standard if the difference is smaller than a certain threshold, otherwise determines that the skeleton pairs are not standard, and outputs corresponding guidance audio for positions with posture difference one by one according to a comparison result.
Furthermore, the diagnosis result storage and uploading module fills the basic information of the patient, the CT image and the diagnosis report corresponding to the CT image into a prefabricated template, and then stores the basic information of the patient, the CT image and the diagnosis report into a corresponding database and uploads the basic information of the patient, the CT image and the diagnosis report to a corresponding server.
Further, the image automatic diagnosis system further comprises:
and the automatic comparison module of the previous images is used for realizing the automatic comparison of the previous images and outputting the corresponding comparison result.
The invention has the following beneficial effects:
1) the automatic guiding of the supine/side/lying body position of the patient is realized, the repeatability of the body position is realized, and the accuracy of the registration and comparison of the CT images is improved.
2) Based on DSOD algorithm and Incepton V3 deep neural network, the high-efficiency analysis processing of CT images is realized, and the working efficiency is greatly improved.
3) The self-adaptive automatic work of the CT host and the CT scanning bed is realized, so that the quality of the CT image is greatly improved.
Drawings
Fig. 1 is a system block diagram of an automated CT image diagnosis system according to an embodiment of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the spirit of the invention. All falling within the scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides an automatic CT image diagnosis system, which includes a CT host, a CT scanning bed, a CT scanning workstation, and an automatic image diagnosis system built in the CT scanning workstation, wherein the automatic image diagnosis system includes:
the CT examination task mining module is used for mining CT examination task information of the patient in the upper end server, wherein the CT examination task information at least comprises basic information of the patient and corresponding CT examination part information;
the image acquisition module adopts a camera with a ranging probe and is used for acquiring a whole body image of a patient; the camera is slidably mounted on a bracket with a traveling wheel through a sliding block, the height of the camera and the position of the camera can be adjusted according to needs, and the image acquisition process is carried out under the guidance of audio;
the examination path generation module is used for calling corresponding voice guidance audio of the patient lying on the back/on the side/on the back according to the body image information of the patient and the corresponding CT examination part information and generating a corresponding projection image; generating a working flow of a CT host and a moving path of a CT scanning bed according to the excavated CT examination task information;
a supine/side/flat lying operation completion command input module, which is realized by the image acquisition module, is used for acquiring supine/side/flat lying images of a patient, compares the acquired images with a target image, if the difference is less than a preset threshold, the standard is considered, the supine/side/flat lying operation completion command input, when a CT scanning workstation receives a corresponding supine/side/flat lying operation completion command, a CT host and a CT scanning bed are started to execute a corresponding work flow and a moving path, and simultaneously the corresponding audio data is used for guiding the whole scanning process, if the corresponding supine/side/flat lying operation completion command is not standard, a voice guidance module is started to realize the corresponding guidance of playing audio data;
the CT image import module is used for importing the CT image collected by the CT host;
the CT image automatic analysis module is used for selecting a corresponding region of interest in a CT image according to CT examination position information, then realizing identification of abnormal regions in the region of interest based on a DSOD algorithm, and then outputting a corresponding diagnosis report according to an identification result based on an inclusion V3 deep neural network;
the automatic comparison module of the previous image is used for realizing the automatic comparison of the previous image and outputting a corresponding comparison result;
the diagnosis result storage and uploading module is used for filling the basic information, the CT image, the comparison result and the corresponding diagnosis report of the patient into a prefabricated template, then storing the basic information, the CT image, the comparison result and the corresponding diagnosis report into a corresponding database and uploading the basic information, the CT image, the comparison result and the corresponding diagnosis report to a corresponding server;
and the central processing unit is used for coordinating the work of the modules.
In this embodiment, the patient bed further comprises a projector with a traveling wheel, and the 3D projector is used for projecting the projection image to a position corresponding to the CT scanning bed, so that the patient can complete supine/side/recumbent operations according to the projection image.
In this embodiment, the supine/side/lying operation completion command entry module acquires human body depth information and bone information based on a kinect depth sensor, calculates and acquires angular rotation movement SO3 matrix information of all bone pairs after eliminating jitter and noise interference of bone information acquired by a lock, compares the calculated angular rotation movement SO3 matrix information of the bone pairs with recorded standard posture information, determines that the bone pairs are standard if the difference is smaller than a certain threshold, otherwise determines that the bone pairs are not standard, and outputs corresponding guidance audio one by one for positions with posture differences according to a comparison result.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (8)
1. The utility model provides a CT image diagnosis automatic system, includes CT host computer, CT scanning bed, CT scanning workstation and the automatic diagnostic system of image of built-in CT scanning workstation which characterized in that: the automatic image diagnosis system comprises:
the CT examination task mining module is used for mining CT examination task information of the patient in the upper end server, wherein the CT examination task information at least comprises basic information of the patient and corresponding CT examination part information;
the image acquisition module is used for acquiring a whole-body image of a patient;
the examination path generation module is used for calling corresponding voice guidance audio of the patient lying on the back/on the side/on the back according to the body image information of the patient and the corresponding CT examination part information and generating a corresponding projection image; generating a working flow of a CT host and a moving path of a CT scanning bed according to the excavated CT examination task information;
the CT image import module is used for importing the CT image collected by the CT host;
the CT image automatic analysis module is used for identifying abnormal regions in the CT image based on a DSOD algorithm and outputting a corresponding diagnosis report according to an identification result;
and the diagnosis result storage and uploading module is used for finishing the storage and uploading operation of the CT image and the corresponding diagnosis report.
2. The automated CT imaging diagnostic system of claim 1, wherein: the CT scanning bed is characterized by also comprising a projector with a traveling wheel, wherein the projector is used for projecting the projection image to a position corresponding to the CT scanning bed, so that a patient can complete the supine/side/lying operation conveniently according to the projection image.
3. The automated CT imaging diagnostic system of claim 1, wherein: the image acquisition module adopts a camera with a distance measuring probe, and the camera is slidably mounted on a bracket with a walking wheel through a sliding block.
4. The automated CT imaging diagnostic system of claim 1, wherein: the CT image automatic analysis module firstly selects a corresponding region of interest in a CT image according to CT examination position information, then realizes identification of abnormal regions in the region of interest based on a DSOD algorithm, and then outputs a corresponding diagnosis report according to an identification result based on an inclusion V3 deep neural network.
5. The automated CT imaging diagnostic system of claim 1, wherein: the image automatic diagnosis system further comprises: further comprising: the system comprises a supine/side/flat lying operation completion command input module, an image acquisition module, a CT scanning workstation and a voice guidance module, wherein the image acquisition module is used for acquiring supine/side/flat lying images of a patient, comparing the acquired images with a target image, if the difference is smaller than a preset threshold, the standard is considered, the supine/side/flat lying operation completion command input is completed, the CT scanning workstation starts a CT host and a CT scanning bed to execute corresponding work flow and moving path when receiving a corresponding supine/side/flat lying operation completion command, and simultaneously guides the whole scanning process by corresponding audio data, and if the supine/side/flat lying operation completion command is not standard, the voice guidance module is started to realize the corresponding guidance of playing audio data.
6. The automated CT imaging diagnostic system of claim 5, wherein: the supine/side/lying operation completion command entry module acquires human body depth information and skeleton information based on a kinect depth sensor, calculates and acquires angular rotation movement SO3 matrix information of all skeleton pairs after eliminating jitter and noise interference of skeleton information acquired by a lock, compares the calculated angular rotation movement SO3 matrix information of the skeleton pairs with recorded standard posture information, considers standard if the difference is smaller than a certain threshold, otherwise, judges the matrix information to be nonstandard, and outputs corresponding guidance audio one by one aiming at the positions with the posture differences according to the comparison result.
7. The automated CT imaging diagnostic system of claim 1, wherein: the diagnosis result storing and uploading module fills the basic information of the patient, the CT image and the diagnosis report corresponding to the CT image into a prefabricated template, and then stores the basic information of the patient, the CT image and the diagnosis report into a corresponding database and uploads the basic information of the patient to a corresponding server.
8. The automated CT imaging diagnostic system of claim 1, wherein: the image automatic diagnosis system further comprises:
and the automatic comparison module of the previous images is used for realizing the automatic comparison of the previous images and outputting the corresponding comparison result.
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| CN202010001664.5A CN111035405A (en) | 2020-01-02 | 2020-01-02 | Automatic system for CT image diagnosis |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111507979A (en) * | 2020-05-08 | 2020-08-07 | 延安大学 | Computer-aided analysis method for medical image |
| CN111991017A (en) * | 2020-08-20 | 2020-11-27 | 西安交通大学医学院第一附属医院 | CT image diagnosis automation device |
| CN112741643A (en) * | 2020-12-31 | 2021-05-04 | 苏州波影医疗技术有限公司 | CT system capable of automatically positioning and scanning and positioning and scanning method thereof |
| CN113647967A (en) * | 2021-09-08 | 2021-11-16 | 上海联影医疗科技股份有限公司 | Control method, device and system of medical scanning equipment |
-
2020
- 2020-01-02 CN CN202010001664.5A patent/CN111035405A/en not_active Withdrawn
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111507979A (en) * | 2020-05-08 | 2020-08-07 | 延安大学 | Computer-aided analysis method for medical image |
| CN111991017A (en) * | 2020-08-20 | 2020-11-27 | 西安交通大学医学院第一附属医院 | CT image diagnosis automation device |
| CN112741643A (en) * | 2020-12-31 | 2021-05-04 | 苏州波影医疗技术有限公司 | CT system capable of automatically positioning and scanning and positioning and scanning method thereof |
| CN113647967A (en) * | 2021-09-08 | 2021-11-16 | 上海联影医疗科技股份有限公司 | Control method, device and system of medical scanning equipment |
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Application publication date: 20200421 |