CN112168193B - System and method for acquiring patella anatomical parameters based on patella axial X-ray image - Google Patents
System and method for acquiring patella anatomical parameters based on patella axial X-ray image Download PDFInfo
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- 210000004417 patella Anatomy 0.000 title claims abstract description 85
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Abstract
The invention provides a system for acquiring patella anatomical parameters based on a patella axial X-ray image, which comprises: when the patient shoots the patella axial X-ray examination item, the image recognition module recognizes a DICOM image matched with the examination item, the image quality judgment module analyzes the quality of the DICOM image, the postoperative change judgment module analyzes the postoperative change of the DICOM image with qualified quality, the anatomical segmentation module segments the patella and the femur far end on the DICOM image without the postoperative change, anatomical coordinates and anatomical labels are set, the calculation module automatically calculates the measured value of each patella joint, and the structural report module integrates all processed data and images, saves and outputs diagnostic impressions. The invention also discloses a method for acquiring the patella anatomical parameters based on the patella axial X-ray image. The invention can automatically measure each anatomical parameter of the patella joint, and shows the actual measurement trace on the data and the image in the conventional report, thereby improving the credibility of the measurement value and meeting the clinical requirements.
Description
Technical Field
The invention relates to the field of medical information, in particular to a system and a method for acquiring patella anatomical parameters based on a patella axial X-ray image.
Background
Patellofemoral osteoarthritis and patellar dislocation are common diseases of joint surgery, and the prevalence rate of people based on knee joint X-rays is 28% -52%. Patellofemoral osteoarthritis and patellar dislocation often co-exist and are causal to each other. The dislocation of the patella is mostly caused by instability of the patellofemoral joint due to the anatomical structure and biomechanical abnormality of the patellofemoral joint, and abnormal patellofemoral joint morphology causes abnormal joint contact area and pressure distribution and mechanical load, which can cause the occurrence of patellofemoral arthritis. On the contrary, structural abnormalities caused by patellofemoral osteoarthritis are also causative factors of patellar dislocation. The accurate detection of both conditions is a diagnostic requirement, as well as a necessary requirement for making a surgical plan before treatment and assessing complications after treatment.
The patellar axis X-ray examination is a common method for clinically examining patellofemoral osteoarthritis and patellar dislocation, the image diagnosis task is to find specific imaging performance, and also to measure related parameters based on images, reflect whether the femoral trochlear is abnormal in an entrance area through various measured values, and evaluate the involution relationship of the patella and the femoral trochlear in the entrance area.
Although there are clear clinical needs and associated measurement criteria, manual measurements of the medical science in clinical practice are overly cumbersome, time consuming, and it is essentially impossible to provide the required measurements in the report. In addition, the manual measurement of doctors is affected by subjective factors, measurement standards of different doctors are not completely consistent, actual measurement marks of the data shown on the images cannot be displayed in conventional reports, the credibility of the measurement results is reduced, and therefore clinical requirements cannot be met.
Disclosure of Invention
Therefore, the main purpose of the invention is to provide a system and a method for acquiring patella anatomical parameters based on the patella axial X-ray image, which can solve the problems of low reliability of measurement results and incapability of meeting clinical requirements caused by incomplete consistency of manual measurement standards of doctors in the prior art.
In order to achieve the above purpose, the technical scheme of the invention is realized as follows:
In one aspect, the invention provides a system for acquiring patella anatomical parameters based on a patella axial X-ray image, which comprises an image information management module, an image recognition module, an image quality judgment module, a postoperative change judgment module, an anatomical segmentation module, a calculation module and a structural report module, wherein the image information management module is connected with the image recognition module and is used for transmitting a DICOM image of a patient to the image recognition module through a DICOM protocol when the patient shoots the patella axial X-ray examination item; the image identification module is connected with the image information management module, the image quality judgment module and the structural report module and is used for identifying the projection range and the body position of the DICOM image based on the DICOM image header file information, judging whether the DICOM image is matched with the patellar axis X-ray examination item, and sending the DICOM image to the image quality judgment module if the DICOM image is matched with the patellar axis X-ray examination item; if the DICOM image is not matched with the patella axial X-ray examination item, stopping the diagnosis process and sending a first prompt message to a structural report module; the image quality judging module is respectively connected with the image identifying module, the postoperative change judging module and the structural reporting module and is used for carrying out quality analysis on the DICOM image based on preset conditions, respectively sending the DICOM image meeting the preset conditions to the postoperative change judging module and the structural reporting module, and defining the DICOM image meeting the preset conditions as a first image; if the quality of the DICOM image does not meet the preset condition, stopping the diagnosis flow; the first judgment result and the second prompt message are sent to a structural report module; the first judging result is that the image quality is unqualified or the image quality is qualified; the post-operation change judging module is connected with the image quality judging module, the anatomy segmentation module and the structural report module and is used for judging whether the first image has post-operation change, if not, the first image is respectively sent to the anatomy segmentation module and the structural report module, if so, the key image is automatically generated based on a first preset rule, and a second judging result and the key image are sent to the structural report module; wherein, the second judgment result is no postoperative change or postoperative change; the anatomical segmentation module is respectively connected with the postoperative change judging module, the calculating module and the structural reporting module, and is used for segmenting the patella and the distal femur on the first image based on a second preset rule, setting anatomical coordinates on the patella and the distal femur, outputting diagnostic data, setting anatomical labels on each anatomical coordinate, outputting a region of each anatomical label, namely a second image, and respectively transmitting the diagnostic data and the second image to the calculating module and the structural reporting module; the calculation module is respectively connected with the anatomy segmentation module and the structural report module and is used for automatically calculating the measured value of each patella joint and generating a key image based on the diagnosis data and the second image, and transmitting the measured value and the key image to the structural report module; the structural report module is respectively connected with the image recognition module, the image quality judgment module, the postoperative change judgment module, the anatomical segmentation module and the calculation module and is used for automatically generating a diagnosis impression for a doctor to check based on built-in rules; and stores all data and all images received.
Preferably, the anatomical segmentation module further comprises a first judging unit, configured to judge whether the anatomical label is compliant based on the diagnostic data, where the judging rule is: judging whether the number of connected domains of each anatomical label is within a first preset threshold value, judging whether the radial line and the area of the largest connected domain of each anatomical label are within a second preset threshold value, judging whether the space positions of adjacent anatomical labels are correct, judging the shapes of different anatomical labels, and transmitting a third judging result to a structural report module; if the anatomical label is not compliant, the diagnostic data is sent to the calculation module, and if the anatomical label is not compliant, the diagnostic process is stopped and a third prompt message is sent to the structured report module.
Preferably, the computing module further includes a second judging unit, configured to judge whether the patellar osteoarthritis is met based on a third preset rule, a measured value and the second image, and send a third judging result to the overall evaluation corresponding control in the structural reporting module.
On the other hand, the invention also provides a method for acquiring the anatomical parameters of the patella based on the axial X-ray image of the patella, which comprises the following steps: when the patient shoots the patella axial X-ray examination item, the image information management module transmits the DICOM image of the patient to the image recognition module through a DICOM protocol; the image recognition module recognizes the projection range and the body position of the DICOM image based on the DICOM image header file information, judges whether the DICOM image is matched with the patella axial X-ray examination item, and sends the DICOM image to the image quality judgment module if the DICOM image is matched with the patella axial X-ray examination item; if the DICOM image is not matched with the patella axial X-ray examination item, stopping the diagnosis process and sending a first prompt message to a structural report module; the image quality judging module is used for carrying out quality analysis on the DICOM images based on preset conditions, respectively sending the DICOM images meeting the preset conditions to the postoperative change judging module and the structural reporting module, and defining the DICOM images meeting the preset conditions as first images; if the quality of the DICOM image does not meet the preset condition, stopping the diagnosis flow; the first judgment result and the second prompt message are sent to a structural report module; the first judging result is that the image quality is unqualified or the image quality is qualified; the postoperative change judging module judges whether the first image has postoperative change, if the first image has no postoperative change, the first image is respectively sent to the anatomy segmentation module and the structural report module, if the first image has postoperative change, a key image is automatically generated based on a first preset rule, and a second judging result and the key image are sent to the structural report module; wherein, the second judgment result is no postoperative change or postoperative change; the anatomical segmentation module segments the patella and the distal femur on the first image based on a second preset rule, sets anatomical coordinates on the patella and the distal femur, outputs diagnosis data, sets anatomical labels on each anatomical coordinate, outputs a region of each anatomical label, namely a second image, and respectively sends the diagnosis data and the second image to the calculation module and the structural report module; the calculation module automatically calculates the measured value of each patella joint and generates a key image based on the diagnosis data and the second image, and sends the measured value and the key image to the structural report module; the structural report module automatically generates a diagnosis impression for a doctor to check based on built-in rules; and stores all data and all images received.
Preferably, the method further comprises: the first judging unit in the anatomical segmentation module judges whether the anatomical label is compliant based on the diagnosis data, and the judging rule is as follows: judging whether the number of connected domains of each anatomical label is within a first preset threshold value, judging whether the radial line and the area of the largest connected domain of each anatomical label are within a second preset threshold value, judging whether the space positions of adjacent anatomical labels are correct, judging the shapes of different anatomical labels, and transmitting a third judging result to a structural report module; if the anatomical label is not compliant, the diagnostic data is sent to the calculation module, and if the anatomical label is not compliant, the diagnostic process is stopped and a third prompt message is sent to the structured report module.
Preferably, the method further comprises: and a second judging unit in the calculating module judges whether the patellar osteoarthritis is met or not based on a third preset rule, a measured value and a second image, and sends a third judging result to the corresponding control of the overall evaluation in the structural reporting module.
The invention has the technical effects that:
1. Because the invention sets up the image recognition module, image quality judging module, change judging module after the operation, dissect the module, calculate module and structuring report module, when the patient shoots the patella axis position X-ray examination project, the image recognition module will discern the DIOCOM picture that matches with examination project, the image quality judging module carries on the quality analysis, judge to the DICOM picture, will because of artifact, throw the scope inadequately, throw the poor DICOM picture of quality that causes such as the condition, in order to prevent influencing the subsequent diagnosis, change judging module after the operation carry on the analysis of the postoperative change to the quality qualified DICOM picture, such as whether after joint replacement operation, if not reject the DICOM picture that the anatomical change caused after the operation in advance, will cause a large number of misjudgments of the analysis model of the subsequent diagnosis flow, has influenced the diagnostic accuracy, dissect module carries on the division of bone and femur distal end to the DICOM picture that does not change after the operation, calculate the measurement value on the basis of anatomical coordinates, calculate the rule that the built-in of the structured report module is based on the measured value of the patella plurality of the measured value, will automatically generate the diagnosis impression, supply, the clinical measurement image, can be used for the clinical measurement of the clinical doctor, can meet the actual measurement requirement of the clinical measurement, the clinical measurement requirement of the invention, the clinical measurement requirement can be satisfied;
2. Because the invention is provided with the first judging unit, whether the anatomical label is in compliance or not can be judged based on the diagnosis data, if the anatomical label is in compliance, the diagnosis data is sent to the calculating module, and if the anatomical label is not in compliance, the prompt information is sent to the structural report module, so that inaccurate measurement caused by unqualified anatomical labels is avoided, and meanwhile, the prompt information is sent, so that manual intervention and treatment can be conveniently carried out in time, and an AI diagnosis model is completed, so that the whole diagnosis flow is more perfect and systematic;
3. Because the invention is provided with the second judging unit, whether the patellar osteoarthritis is met or not can be judged based on the third preset rule, the measured value and the second image, the third judging result is sent to the corresponding control for overall evaluation in the structural report module, and the qualitative result, namely the patellar osteoarthritis (degeneration) is met or the patellar osteoarthritis (non-degeneration) is not met, can be sent to the structural report module, thereby being beneficial to the automatic analysis of the structural report module, automatically obtaining the final diagnosis result and improving the accuracy of the diagnosis result.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
Fig. 1 is a schematic diagram of a system for acquiring patellar anatomical parameters based on a patellar axial X-ray image according to a first embodiment of the present invention;
Fig. 2 is a schematic diagram of a system for acquiring patellar anatomical parameters based on a patellar axial X-ray image according to a second embodiment of the present invention;
FIG. 3 is a schematic diagram of a system for acquiring patellar anatomical parameters based on an axial X-ray image of a patella according to a third embodiment of the present invention;
FIG. 4 illustrates a flowchart of a method for acquiring patellar anatomical parameters based on a patellar axis X-ray image according to a fourth embodiment of the present invention;
Fig. 5 shows a specific process flow diagram of a method for acquiring patellar anatomical parameters based on a patellar axial X-ray image according to a fifth embodiment of the present invention.
Detailed Description
The invention will be described in detail below with reference to the drawings in combination with embodiments.
Example 1
Fig. 1 is a schematic diagram of a system for acquiring patellar anatomical parameters based on a patellar axial X-ray image according to a first embodiment of the present invention; as shown in fig. 1, the system includes: image information management module 10, image recognition module 20, image quality determination module 30, post-operative change determination module 40, anatomical segmentation module 50, calculation module 60, and structured reporting module 70, wherein,
The image information management module 10 is connected with the image recognition module 20 and is used for transmitting a DICOM image of a patient to the image recognition module 20 through a DICOM protocol when the patient shoots a patella axial X-ray examination item;
Wherein, the image information management module is RIS (Radiology Information System) systems.
The image recognition module 20 is connected with the image information management module 10, the image quality judgment module 30 and the structural report module 70, and is used for recognizing the projection range and the body position of the DICOM image based on the DICOM image header file information, judging whether the DICOM image is matched with the patellar axial X-ray examination item, and if the DICOM image is matched with the patellar axial X-ray examination item, transmitting the DICOM image to the image quality judgment module 30; if the DICOM image does not match the patellar axis X-ray examination item, the diagnostic procedure is aborted and a first prompt is sent to the structural reporting module 70;
Wherein DICOM images matching the patellar axis X-ray examination item are sent to corresponding controls of technical assessment (scan sequence) in the structured reporting interface.
If the DICOM image is not matched with the patella axial X-ray examination item, a first prompt message is sent to the structural report module, is processed by related personnel and is stored in a database of the structural report module for later personnel to call and check.
The image quality judging module 30 is respectively connected with the image identifying module 20, the postoperative change judging module 40 and the structural reporting module 70, and is used for carrying out quality analysis on the DICOM image based on preset conditions, respectively sending the DICOM image meeting the preset conditions to the postoperative change judging module 40 and the structural reporting module 70, and defining the DICOM image meeting the preset conditions as a first image; if the quality of the DICOM image does not meet the preset condition, stopping the diagnosis flow; and sends the first judgment result and the second prompt message to the structural report module 70; the first judging result is that the image quality is unqualified or the image quality is qualified;
the condition that the preset condition is not met is that the projection position is not positive, the projection range is insufficient, the projection condition is not proper (too white or too black), and the like;
wherein the first judgment result is sent to a corresponding control of technical evaluation (image quality) of the structured report interface. If the image quality is unqualified, the second prompt information is sent to the structural report module, is responsible for processing by related personnel and is stored in a database of the structural report module for later personnel to call and check.
The post-operation change judging module 40 is connected with the image quality judging module 30, the anatomy segmentation module 60 and the structural report module 70, and is used for judging whether the first image has post-operation change, if not, the first image is respectively sent to the anatomy segmentation module 50 and the structural report module 70, if so, the key image is automatically generated based on a first preset rule, and the second judging result and the key image are sent to the structural report module 70; wherein, the second judgment result is no postoperative change or postoperative change;
The post-operation change judging module identifies whether there is a post-operation change or not, such as a post-joint replacement operation or the like, of the high-density in-vivo implant.
The anatomy segmentation module 50 is respectively connected with the post-operation change judgment module 40, the calculation module 60 and the structural report module 70, and is used for segmenting the patella and the distal femur on the first image based on a second preset rule, setting anatomical coordinates for the patella and the distal femur, outputting diagnostic data, setting anatomical labels for each anatomical coordinate, outputting a region of each anatomical label, namely a second image, and respectively sending the diagnostic data and the second image to the calculation module 60 and the structural report module 70;
The calculation module 60 is respectively connected with the anatomy segmentation module 50 and the structural report module 70, and is used for automatically calculating the measured value of each patella joint and generating a key image based on the diagnosis data and the second image, and sending the measured value and the key image to the structural report module 70;
wherein the measured values include: femoral canal angle, adaptation angle, bi-central angle, lateral patella angle, patella tilt angle, patella index, patella articular surface angle, patella articular surface ratio, etc.
The structural report module 70 is respectively connected with the image recognition module 20, the image quality judging module 30, the postoperative change judging module 40, the anatomical segmentation module 50 and the calculating module 60, and is used for automatically generating a diagnosis impression for a doctor to check based on built-in rules; and stores all data and all images received.
The embodiment of the invention is provided with an image recognition module, an image quality judgment module, a postoperative change judgment module, an anatomic segmentation module, a calculation module and a structural report module, when a patient shoots a patella axial X-ray examination item, the image recognition module recognizes DIOCOM images matched with the examination item, the image quality judgment module analyzes and judges the quality of the DICOM images, the DICOM images with poor quality caused by artifacts, inadequate projection range, improper projection condition and the like are recognized, so as to prevent the influence on the subsequent diagnosis, the postoperative change judgment module analyzes the post-operation change of the DICOM images with qualified quality, such as whether the post-operation change is caused by joint replacement operation or not, if the post-operation change DICOM images are not removed in advance, a large number of misjudgment of focus analysis models of the subsequent diagnosis flow are caused, the diagnosis precision is influenced, the anatomic segmentation module carries out segmentation of the DICOM images without post-operation change on the distal femur, the calculation module calculates various measured values of the patella joint based on anatomic coordinates, and the automatic generation of the diagnosis impression is realized by the structural report module based on built-in rules, so that the automatic measurement report module can be used for automatically generating diagnosis images, the clinical measurement image can be used for the clinical measurement image, and the clinical measurement image can be used for the clinical measurement, and the clinical measurement can be provided.
Example two
Fig. 2 is a schematic diagram of a system structure for acquiring patella anatomical parameters based on a patella axial X-ray image according to a second embodiment of the present invention, as shown in fig. 2, the anatomical segmentation module 50 further includes a first determining unit 502, configured to determine whether an anatomical label is compliant based on diagnostic data, where a rule of determination is: judging whether the number of connected domains of each anatomical label is within a first preset threshold, judging whether the radial line and the area of the largest connected domain of each anatomical label are within a second preset threshold, judging whether the space positions of adjacent anatomical labels are correct, judging the shapes of different anatomical labels, and transmitting a third judging result to the structural report module 70; if the anatomical label is not compliant, the diagnostic data is sent to the calculation module 60, and if the anatomical label is not compliant, the diagnostic procedure is aborted and a third prompt is sent to the structured report module 70.
For example, if the number of connected domains of each anatomical label is within a first preset threshold (for example, less than 3), if the radial line and area of each anatomical label are within a second preset threshold (10% -90%), if the anatomical label outside the range is not compliant.
The embodiment of the invention is provided with the first judging unit, can judge whether the anatomical label is in compliance based on the diagnosis data, if the anatomical label is in compliance, the diagnosis data is sent to the calculating module, and if the anatomical label is not in compliance, the prompt message is sent to the structural report module, so that inaccurate measurement caused by unqualified anatomical label is avoided, and meanwhile, the prompt message is sent, so that manual intervention and processing can be conveniently carried out in time, and an AI diagnosis model is completed, so that the whole diagnosis flow is more perfect and systematic.
Example III
Fig. 3 is a schematic diagram of a system for acquiring patellar anatomical parameters based on a patellar axis X-ray image according to a third embodiment of the present invention, and as shown in fig. 3, the computing module 60 further includes a second judging unit 602 configured to judge whether the patellar joint osteoarthritis is met based on a third preset rule, a measured value and a second image, and send a third judgment result to the overall evaluation corresponding control in the structural reporting module 70.
If the third judging result accords with the patellar articular osteoarthritis, returning the qualitative judging result to a 'degeneration' control of the overall evaluation in the structural report module; and if the third judging result does not accord with the patellar osteoarthritis, returning the qualitative judging result to the integral evaluation 'unseen degeneration' control in the structural report module. The structural report module integrates the second judgment result, each measured value and the third judgment result, automatically obtains the final diagnosis, and returns to the diagnosis impression.
The embodiment of the invention is provided with the second judging unit, can judge whether the patellar osteoarthritis is met based on the third preset rule, the measured value and the second image, sends the third judging result to the corresponding control for overall evaluation in the structural report module, and can send the qualitative result, namely the patellar osteoarthritis (degeneration) is met or the patellar osteoarthritis (non-degeneration) is not met, to the structural report module, thereby being beneficial to the automatic analysis of the structural report module, automatically obtaining the final diagnosis result and improving the accuracy of the diagnosis result.
Example IV
FIG. 4 illustrates a flowchart of a method for acquiring patellar anatomical parameters based on a patellar axis X-ray image according to a fourth embodiment of the present invention; as shown in fig. 4, the method comprises the steps of:
Step S401, when the patient shoots the patella axial X-ray examination project, the image information management module transmits the DICOM image of the patient to the image recognition module through a DICOM protocol;
wherein the image information management module is RIS (Radiology Information System) systems;
Step S402, the image recognition module recognizes the projection range and the body position of the DICOM image based on the DICOM image header file information, judges whether the DICOM image is matched with the patella axial X-ray examination item, and if the DICOM image is matched with the patella axial X-ray examination item, sends the DICOM image to the image quality judgment module; if the DICOM image is not matched with the patella axial X-ray examination item, stopping the diagnosis process and sending a first prompt message to a structural report module;
Wherein DICOM images matching the patellar axis X-ray examination item are sent to corresponding controls of technical assessment (scan sequence) in the structured reporting interface.
If the DICOM image is not matched with the patella axial X-ray examination item, a first prompt message is sent to the structural report module, is processed by related personnel and is stored in a database of the structural report module for later personnel to call and check.
Step S403, the image quality judging module analyzes the quality of the DICOM image based on the preset condition, and sends the DICOM image meeting the preset condition to the post-operation change judging module and the structural reporting module respectively, and defines the DICOM image meeting the preset condition as a first image; if the quality of the DICOM image does not meet the preset condition, stopping the diagnosis flow; the first judgment result and the second prompt message are sent to a structural report module; the first judging result is that the image quality is unqualified or the image quality is qualified;
the condition that the preset condition is not met is that the projection position is not positive, the projection range is insufficient, the projection condition is not proper (too white or too black), and the like;
wherein the first judgment result is sent to a corresponding control of technical evaluation (image quality) of the structured report interface. If the image quality is unqualified, the second prompt information is sent to the structural report module, is responsible for processing by related personnel and is stored in a database of the structural report module for later personnel to call and check.
Step S404, a post-operation change judging module judges whether the first image has post-operation change, if not, the first image is respectively sent to an anatomy segmentation module and a structural report module, if so, a key image is automatically generated based on a first preset rule, and a second judging result and the key image are sent to the structural report module; wherein, the second judgment result is no postoperative change or postoperative change;
The post-operation change judging module identifies whether there is a post-operation change or not, such as a post-joint replacement operation or the like, of the high-density in-vivo implant.
Step S405, the anatomical segmentation module segments the patella and the distal femur on the first image based on a second preset rule, sets anatomical coordinates for the patella and the distal femur, outputs diagnostic data, sets anatomical labels for each anatomical coordinate, outputs a region of each anatomical label, namely a second image, and sends the diagnostic data and the second image to the calculation module and the structural report module respectively;
Step S406, the calculation module automatically calculates the measured value of each patella joint and generates a key image based on the diagnosis data and the second image, and sends the measured value and the key image to the structural report module;
wherein the measured values include: femoral canal angle, adaptation angle, bi-central angle, lateral patella angle, patella tilt angle, patella index, patella articular surface angle, patella articular surface ratio, etc.
Step S407, the structural report module automatically generates a diagnosis impression for a doctor to check based on the built-in rule; and stores all data and all images received.
Wherein the method further comprises: the first judging unit in the anatomical segmentation module judges whether the anatomical label is compliant based on the diagnosis data, and the judging rule is as follows: judging whether the number of connected domains of each anatomical label is within a first preset threshold value, judging whether the radial line and the area of the largest connected domain of each anatomical label are within a second preset threshold value, judging whether the space positions of adjacent anatomical labels are correct, judging the shapes of different anatomical labels, and transmitting a third judging result to a structural report module; if the anatomical label is not compliant, the diagnostic data is sent to the calculation module, and if the anatomical label is not compliant, the diagnostic process is stopped and a third prompt message is sent to the structured report module.
For example, if the number of connected domains of each anatomical label is within a first preset threshold (for example, less than 3), if the radial line and area of each anatomical label are within a second preset threshold (10% -90%), if the anatomical label outside the range is not compliant.
Wherein the method further comprises: and a second judging unit in the calculating module judges whether the patellar osteoarthritis is met or not based on a third preset rule, a measured value and a second image, and sends a third judging result to the corresponding control of the overall evaluation in the structural reporting module.
If the third judging result accords with the patellar articular osteoarthritis, returning the qualitative judging result to a 'degeneration' control of the overall evaluation in the structural report module; and if the third judging result does not accord with the patellar osteoarthritis, returning the qualitative judging result to the integral evaluation 'unseen degeneration' control in the structural report module. The structural report module integrates the second judgment result, each measured value and the third judgment result, automatically obtains the final diagnosis, and returns to the diagnosis impression.
The method comprises the steps that when a patient shoots a patella axial X-ray examination item, the image recognition module recognizes DIOCOM images matched with the examination item, the image quality judgment module analyzes and judges the quality of the DICOM images, the DICOM images with poor quality caused by artifacts, incomplete projection range, improper projection condition and the like are recognized by the image quality judgment module, so that subsequent diagnosis is prevented from being influenced, the post-operation change judgment module analyzes post-operation change of the DICOM images with qualified quality, such as whether the post-operation change is caused by joint replacement operation or not, if the post-operation change DICOM images are not removed in advance, a large number of misjudgment of a focus analysis model of the subsequent diagnosis flow is caused, diagnosis precision is influenced, the post-operation change DICOM images are divided by the anatomical segmentation module, various measured values of the patella joint are calculated by the calculation module based on anatomical coordinates, and the automatic diagnosis impression is generated by the structured report module based on built-in rules, so that the automatic diagnosis image is used for the fact that the measurement value is required to be automatically generated, and the clinical measurement data can be displayed in a conventional measurement report can be provided, and the clinical measurement data can meet the practical requirements are satisfied; the first judging unit in the embodiment of the invention can judge whether the anatomical label is in compliance or not based on the diagnosis data, if the anatomical label is in compliance, the diagnosis data is sent to the calculating module, and if the anatomical label is not in compliance, the prompt information is sent to the structural report module, so that inaccurate measurement caused by unqualified anatomical label is avoided, and meanwhile, the prompt information is sent, so that manual intervention and processing can be conveniently carried out in time, and an AI diagnosis model is completed, so that the whole diagnosis flow is more perfect and systematic; the second judging unit in the embodiment of the invention can judge whether the patellar osteoarthritis is met based on the third preset rule, the measured value and the second image, and send the third judging result to the corresponding control for overall evaluation in the structural report module, and can send the qualitative result, namely the patellar osteoarthritis (degeneration) is met or the patellar osteoarthritis (non-degeneration) is not met, to the structural report module, thereby being beneficial to the automatic analysis of the structural report module, automatically obtaining the final diagnosis result and improving the accuracy of the diagnosis result.
Example five
Fig. 5 shows a specific process flow chart of a method for acquiring patellar anatomical parameters based on a patellar axial X-ray image according to a fifth embodiment of the present invention, as shown in fig. 5, the method includes the steps of:
in step S501, the image recognition module recognizes that the DICOM image matches the patella axial X-ray examination item? If not, the first prompt message is sent to the structural report module, if yes, the step S502 is executed;
step S502, the image quality is in accordance with the preset condition? If not, sending the judging result, the first image and the second prompt information to a structural report module; if yes, go to step S503;
step S503, is there a post-operative change in the first image? If yes, sending a second judging result and the key image to the structural report module, and if not, sending the first image to the anatomical segmentation module and executing step S504;
Step S504, the anatomical segmentation module segments the patella and the distal femur, sends the diagnosis data and the second image to the structural report module, sends the diagnosis data to the first judgment unit and executes step S505;
step S505, if the anatomical label is compliant, the third prompt message is sent to the structural report module, if yes, the step S506 is executed;
step S506, the calculation module calculates the measured value of each patella joint and generates a key image, the measured value and the key image are sent to the structural report module, the measured value and the second image are sent to the second judgment unit, and the step S507 is executed;
In step S507, the second determining unit determines whether the patellar osteoarthritis is met based on the third preset rule, the measured value and the second image? If not, sending the undiscovered degeneration to the corresponding control of the whole evaluation of the structural report module, and if yes, sending the degeneration to the corresponding control of the whole evaluation of the structural report module;
step S508, the structural report module automatically generates a diagnosis impression based on the built-in rules and the measured values for a doctor to check; and stores all data and all images received.
From the above description, it can be seen that the above embodiments of the present invention achieve the following technical effects: because the embodiment of the invention is provided with the image recognition module, the image quality judgment module, the postoperative change judgment module, the anatomical segmentation module, the calculation module and the structural report module, when a patient shoots a patella axial X-ray examination item, the image recognition module recognizes DIOCOM images matched with the examination item, the image quality judgment module analyzes and judges the quality of the DICOM images, the DICOM images with poor quality caused by artifacts, incomplete projection range, improper projection condition and the like are recognized, so as to prevent the influence on the subsequent diagnosis, the postoperative change judgment module analyzes the post-operation change of the quality qualified DICOM images, such as whether the post-operation change is caused by joint replacement operation or not, if the post-operation anatomical change DICOM images are not removed in advance, a great deal of misjudgment of a focus analysis model of the subsequent diagnosis flow is caused, the diagnosis precision is influenced, the anatomical segmentation module carries out segmentation of bones and thighbone distal ends on the DICOM images without postoperative change on the basis of anatomical coordinates, the calculation module calculates various measured values of patella joint on the basis of anatomical coordinates, and the structural report module automatically generates diagnosis impressions on the basis of built-in rules, thereby the clinical measurement report can be used for automatically generating diagnosis impressions, and can replace clinical measurement data in the clinical measurement requirements, and can meet the requirements of the clinical measurement requirements, and the clinical requirements can be provided for the clinical measurement requirements, and clinical requirements can be used for the clinical measurement requirements are satisfied; because the embodiment of the invention is provided with the first judging unit, whether the anatomical label is in compliance or not can be judged based on the diagnosis data, if the anatomical label is in compliance, the diagnosis data is sent to the calculating module, and if the anatomical label is not in compliance, prompt information is sent to the structural report module, so that inaccurate measurement caused by unqualified anatomical labels is avoided, and meanwhile, the prompt information is sent, so that manual intervention and processing can be conveniently carried out in time, and an AI diagnosis model is completed, so that the whole diagnosis flow is more perfect and systematic; because the second judging unit is arranged in the embodiment of the invention, whether the patellar osteoarthritis is met or not can be judged based on the third preset rule, the measured value and the second image, the third judging result is sent to the corresponding control for overall evaluation in the structural report module, and the qualitative result, namely the patellar osteoarthritis (degeneration) is met or the patellar osteoarthritis (non-degeneration) is not met, can be sent to the structural report module, so that the automatic analysis of the structural report module is facilitated, the final diagnosis result is automatically obtained, and the accuracy of the diagnosis result is improved.
It will be apparent to those skilled in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, or they may alternatively be implemented in program code executable by computing devices, such that they may be stored in a memory device for execution by the computing devices, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps within them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A system for acquiring patella anatomical parameters based on a patella axial X-ray image is characterized by comprising an image information management module, an image recognition module, an image quality judgment module, a postoperative change judgment module, an anatomical segmentation module, a calculation module and a structural report module, wherein,
The image information management module is connected with the image recognition module and is used for transmitting a DICOM image of a patient to the image recognition module through a DICOM protocol when the patient shoots a patella axial X-ray examination item;
The image recognition module is connected with the image information management module, the image quality judgment module and the structural report module and is used for recognizing the projection range and the body position of the DICOM image based on the DICOM image header file information and judging whether the DICOM image is matched with the patella axial X-ray examination item or not, and if the DICOM image is matched with the patella axial X-ray examination item, the DICOM image is sent to the image quality judgment module; if the DICOM image is not matched with the patellar axis X-ray examination item, stopping the diagnosis process and sending a first prompt message to the structural report module;
The image quality judging module is respectively connected with the image identifying module, the postoperative change judging module and the structural reporting module and is used for carrying out quality analysis on the DICOM image based on preset conditions, respectively sending the DICOM image meeting the preset conditions to the postoperative change judging module and the structural reporting module, and defining the DICOM image meeting the preset conditions as a first image; if the quality of the DICOM image does not meet the preset condition, stopping the diagnosis process; the first judgment result and the second prompt message are sent to the structural report module; the first judging result is that the image quality is unqualified or the image quality is qualified;
The post-operation change judging module is connected with the image quality judging module, the anatomy segmentation module and the structural report module and is used for judging whether the first image has post-operation change, if not, the first image is respectively sent to the anatomy segmentation module and the structural report module, and if so, a key image is automatically generated based on a first preset rule and a second judging result and the key image are sent to the structural report module; wherein the second judgment result is no postoperative change or postoperative change;
the anatomy segmentation module is respectively connected with the postoperative change judgment module, the calculation module and the structural report module, and is used for segmenting a patella and a femur distal end on the first image based on a second preset rule, setting anatomical coordinates for the patella and the femur distal end, outputting diagnosis data, setting anatomical labels for each anatomical coordinate, outputting a region of each anatomical label, namely a second image, and respectively sending the diagnosis data and the second image to the calculation module and the structural report module;
the calculation module is respectively connected with the anatomical segmentation module and the structural report module and is used for automatically calculating the measured value of each patella joint and generating a key image based on the diagnosis data and the second image, and sending the measured value and the key image to the structural report module;
The structural report module is respectively connected with the image recognition module, the image quality judging module, the postoperative change judging module, the anatomical segmentation module and the calculation module and is used for automatically generating a diagnosis impression for a doctor to check based on built-in rules; and stores all data and all images received.
2. The system for acquiring patellar anatomical parameters based on a patellar axis X-ray image according to claim 1, wherein the anatomical segmentation module further comprises a first determination unit configured to determine whether the anatomical label is compliant based on the diagnostic data, the determination rule being: judging whether the number of connected domains of each anatomical label is within a first preset threshold value, judging whether the radial line and the area of the largest connected domain of each anatomical label are within a second preset threshold value, judging whether the space positions of adjacent anatomical labels are correct, judging the shapes of different anatomical labels, and sending a third judging result to the structural report module; and if the anatomical label is not qualified, stopping the diagnosis process and sending a third prompt message to the structural report module.
3. The system for acquiring patellar anatomical parameters based on the patellar axis X-ray image according to claim 1, wherein the computing module further comprises a second judging unit for judging whether patellar osteoarthritis is met based on a third preset rule, the measured value and the second image, and transmitting a third judging result to an overall evaluation corresponding control in the structural reporting module.
4. A method for acquiring patellar anatomic parameters based on an X-ray image of the patellar axis, comprising:
When the patient shoots the patella axial X-ray examination item, the image information management module transmits the DICOM image of the patient to the image recognition module through a DICOM protocol;
the image recognition module recognizes the projection range and the body position of the DICOM image based on the DICOM image header file information, judges whether the DICOM image is matched with the patella axial X-ray examination item, and sends the DICOM image to the image quality judgment module if the DICOM image is matched with the patella axial X-ray examination item; if the DICOM image is not matched with the patellar axis X-ray examination item, stopping the diagnosis process and sending a first prompt message to a structural report module;
the image quality judging module analyzes the quality of the DICOM image based on preset conditions, respectively sends the DICOM image conforming to the preset conditions to the postoperative change judging module and the structural reporting module, and defines the DICOM image conforming to the preset conditions as a first image; if the quality of the DICOM image does not meet the preset condition, stopping the diagnosis process; the first judgment result and the second prompt message are sent to the structural report module; the first judging result is that the image quality is unqualified or the image quality is qualified;
The post-operation change judging module judges whether the first image has post-operation change, if not, the first image is respectively sent to the anatomy segmentation module and the structural report module, if so, a key image is automatically generated based on a first preset rule, and a second judging result and the key image are sent to the structural report module; wherein the second judgment result is no postoperative change or postoperative change;
the anatomical segmentation module segments a patella and a distal femur on the first image based on a second preset rule, sets anatomical coordinates on the patella and the distal femur, outputs diagnosis data, sets anatomical labels on each anatomical coordinate, outputs a second image which is a region of each anatomical label, and sends the diagnosis data and the second image to the calculation module and the structural report module respectively;
The calculation module automatically calculates a measured value of each patella joint and generates a key image based on the diagnosis data and the second image, and sends the measured value and the key image to the structural report module;
The structural report module automatically generates a diagnosis impression for a doctor to check based on built-in rules; and stores all data and all images received.
5. The method for acquiring patellar anatomical parameters based on patellar axis X-ray images according to claim 4, further comprising: the first judging unit in the anatomical segmentation module judges whether the anatomical label is compliant or not based on the diagnosis data, and the judging rule is as follows: judging whether the number of connected domains of each anatomical label is within a first preset threshold value, judging whether the radial line and the area of the largest connected domain of each anatomical label are within a second preset threshold value, judging whether the space positions of adjacent anatomical labels are correct, judging the shapes of different anatomical labels, and sending a third judging result to the structural report module; and if the anatomical label is not qualified, stopping the diagnosis process and sending a third prompt message to the structural report module.
6. The method for acquiring patellar anatomical parameters based on the patellar axis X-ray image according to claim 4, wherein a second judging unit in the computing module judges whether the patellar joint osteoarthritis is met based on a third preset rule, the measured value and the second image, and sends a third judging result to the overall evaluation corresponding control in the structural reporting module.
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