CN112150376A - Blood vessel medical image analysis method and device, computer equipment and storage medium - Google Patents
Blood vessel medical image analysis method and device, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to a blood vessel medical image analysis processing method, a blood vessel medical image analysis processing device, computer equipment and a storage medium. The method comprises the following steps: receiving a blood vessel medical image sent by a medical data system or imported by a doctor using a terminal; after the quality detection is passed, image processing is carried out to generate the central line and the outline of the blood vessel in the blood vessel medical image; when a result of adjusting the center line and the outline returned by a data correction user through a terminal is received, modeling is carried out according to the adjusted result; performing fluid mechanics simulation processing according to the three-dimensional grid obtained by modeling through cloud computing service to obtain a simulation result file comprising blood flow characteristic values of all points; and generating a functional color code image according to the simulation result file and the three-dimensional grid, determining a blood flow characteristic value at the position of the blood vessel stenosis in the three-dimensional grid, generating an image analysis report according to the blood flow characteristic value and the functional color code image, and sending the image analysis report to a terminal used by a doctor. The method can improve the accuracy.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for analyzing a blood vessel medical image, a computer device, and a storage medium.
Background
With the development of scientific technology, people pay more and more attention to body health, more and more technologies for processing and analyzing medical images appear, the analysis and the processing of blood vessel images are one of the technologies, and the deep analysis of the blood vessel images to know the specific conditions of blood vessels is very important.
In the conventional technique, a blood vessel image is generally subjected to a limited analysis process by a single machine. However, the limited analysis processing results in the inaccurate analysis processing result of the blood vessel image, and therefore how to improve the accuracy of the blood vessel medical image analysis processing is a problem to be solved.
Disclosure of Invention
In view of the above, it is necessary to provide a method, an apparatus, a computer device and a storage medium for analyzing and processing a blood vessel medical image, which can improve accuracy.
A method for analyzing and processing a vascular medical image, the method comprising:
receiving a blood vessel medical image sent by a medical data system or imported by a doctor using a terminal;
carrying out image quality detection on the blood vessel medical image, and carrying out image processing on the blood vessel medical image after the quality detection is passed so as to generate a central line and a contour of a blood vessel in the blood vessel medical image;
loading the center line and the outline of the blood vessel through a terminal used by a data correction user;
when a result of adjusting the center line and the contour returned by the data correction user through a terminal is received, modeling is carried out according to the adjusted result, and a three-dimensional grid of the blood vessel is generated;
performing fluid mechanics simulation processing according to the three-dimensional grid through cloud computing service, and performing simulation prediction to obtain a simulation result file comprising blood flow characteristic values of all points in the three-dimensional grid;
generating a three-dimensional functional color code image according to the simulation result file and the three-dimensional grid;
and determining a blood flow characteristic value at the position of the blood vessel stenosis in the three-dimensional grid according to the simulation result file, generating an image analysis report according to the determined blood flow characteristic value and the functional color code image, and sending the image analysis report to a terminal used by a doctor.
In one embodiment, after the loading the centerline and contour of the blood vessel by the data correction user used terminal, the method further comprises:
and when a message that the center line and the contour check are passed and returned by the data correction user through a terminal is received, generating a three-dimensional grid of the blood vessel according to the center line and the contour of the blood vessel, executing the cloud computing service, and performing fluid mechanics simulation processing and subsequent steps according to the three-dimensional grid.
In one embodiment, after the modeling according to the adjusted result generates the three-dimensional mesh of the blood vessel, the method further includes:
loading the three-dimensional grid through a terminal used by an auditor;
when receiving a message that the auditor passes the three-dimensional grid returned by the auditor passing terminal, executing the passing cloud computing service, performing fluid mechanics simulation processing according to the three-dimensional grid, and performing simulation prediction to obtain a simulation result file comprising blood flow characteristic values of all points in the three-dimensional grid and subsequent steps;
and when a message that the audit of the three-dimensional grid fails, which is returned by the auditor through a terminal, is received, the center line and the contour of the blood vessel and subsequent steps loaded by the terminal used by the data passing correction user are returned to be executed until the audit is passed.
In one embodiment, the generating and sending an image analysis report to a terminal used by a doctor according to the determined blood flow characteristic value and the functional color code image comprises:
loading the functional optical color code image through the terminal used by the data correction user;
when a screenshot instruction aiming at the functional color code image sent by the data correction user through a terminal is received, the two-dimensional image of the functional color code image is intercepted according to the screenshot instruction, and an image analysis report is generated and sent to the terminal used by a doctor according to the blood flow characteristic value and the two-dimensional image of the functional color code image.
In one embodiment, the generating and sending the image analysis report to the terminal used by the doctor comprises:
generating an image analysis report;
loading the generated image analysis report through a terminal used by an auditor;
when receiving a message which is returned by the auditor through a terminal and is used for the image analysis report, sending the image analysis report to a terminal used by a doctor;
and when receiving a message which is returned by the auditor through a terminal and does not pass the audit of the image analysis report, returning to execute the steps of loading the functional color code image and subsequent steps through the terminal used by the data correction user until the audit passes.
In one embodiment, the performing, by the cloud computing service, a fluid mechanics simulation process according to the three-dimensional mesh, and the obtaining, by simulation prediction, a simulation result file including blood flow characteristic values of each point in the three-dimensional mesh includes:
acquiring a simulation parameter file;
performing hydromechanics simulation processing on the blood vessel iteratively according to the simulation parameter file and the three-dimensional grid through cloud computing service to generate a blood flow characteristic value on each grid unit in the three-dimensional grid on each time node;
and merging the blood flow characteristic values of each grid unit in the three-dimensional grid on each time node in the last time period to generate a simulation result file.
In one embodiment, the method further comprises:
obtaining a blood flow characteristic value along the center line of the blood vessel according to the simulation result file, and generating a blood flow characteristic result curve according to the obtained blood flow characteristic value;
generating an image analysis report according to the determined blood flow characteristic value and the functional color code image, and sending the image analysis report to a terminal used by a doctor, wherein the image analysis report comprises the following steps:
adjusting the current space coordinates of each point on the central line to the target space coordinates of each point on the central line in the functional color code image by adjusting the angle of the functional color code image;
screenshot is carried out on the adjusted functional color code image to obtain a two-dimensional image of the functional color code image;
and generating an image analysis report according to the blood flow characteristic value, the two-dimensional image of the functional color code graph and the blood flow characteristic result curve, and sending the image analysis report to a terminal used by a doctor.
In one embodiment, after generating an image analysis report according to the determined blood flow characteristic value and the functional color code map and sending the image analysis report to a terminal used by a doctor, the method further comprises:
displaying a functional color code image viewing entry and a center line modification entry through a terminal used by the doctor;
displaying the functional color code image when a trigger operation of the doctor for checking an entrance of the functional color code image is received;
when a trigger operation that the doctor modifies an entrance aiming at the central line is received, displaying the central line and the outline;
and when an adjusting instruction aiming at the displayed central line and the displayed outline, which is sent by the doctor through a terminal, is received, correspondingly adjusting the central line and the outline, returning to execute the modeling according to the adjusted result, generating the three-dimensional mesh of the blood vessel and performing the subsequent steps.
In one embodiment, the data correction user comprises a physician;
when a result of adjusting the center line and the contour returned by the data correction user through the terminal is received, modeling is performed according to the adjusted result, and generating the three-dimensional mesh of the blood vessel comprises:
when a result of adjusting the center line and the contour returned by the doctor through a terminal is received, modeling is carried out according to the adjusted result, and a three-dimensional grid of the blood vessel is generated;
after generating an image analysis report according to the determined blood flow characteristic value and the functional color code image and sending the image analysis report to a terminal used by a doctor, the method further comprises the following steps:
displaying an image analysis report viewing portal through a terminal used by the doctor;
and when a triggering operation of the doctor on the image analysis report viewing inlet is received, displaying the image analysis report.
A vascular medical image analysis processing apparatus, the apparatus comprising:
the image acquisition module is used for receiving a blood vessel medical image sent by a medical data system or imported by a doctor through a terminal;
the central line generation module is used for carrying out image quality detection on the blood vessel medical image and carrying out image processing on the blood vessel medical image after the quality detection is passed so as to generate a central line and a contour of a blood vessel in the blood vessel medical image;
the correction module is used for correcting the center line and the contour of the blood vessel loaded by the terminal used by the user through data;
the model generation module is used for modeling according to the adjusted result and generating the three-dimensional mesh of the blood vessel when receiving the result of adjusting the central line and the outline returned by the data correction user through the terminal;
the simulation module is used for performing fluid mechanics simulation processing according to the three-dimensional grid through cloud computing service, and performing simulation prediction to obtain a simulation result file comprising blood flow characteristic values of all points in the three-dimensional grid;
the simulation result processing module is used for generating a three-dimensional functional color code image according to the simulation result file and the three-dimensional grid;
and the report generating module is used for determining a blood flow characteristic value at the position of the blood vessel stenosis in the three-dimensional grid according to the simulation result file, generating an image analysis report according to the determined blood flow characteristic value and the functional color code image, and sending the image analysis report to a terminal used by a doctor.
A computer device comprising a memory and a processor, wherein the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to execute the steps of the blood vessel medical image analysis processing method according to the embodiments of the present application.
A computer-readable storage medium, having a computer program stored thereon, which, when executed by a processor, causes the processor to execute the steps of the blood vessel medical image analysis processing method according to the embodiments of the present application.
The vessel medical image analysis processing method, the vessel medical image analysis processing device, the computer equipment and the storage medium receive the vessel medical image sent by the medical data system or introduced by a doctor using a terminal, and generate the center line and the outline of the vessel in the vessel medical image after the vessel medical image passes the image quality detection. And after the image quality detection is passed, subsequent image processing is carried out, so that the accuracy and efficiency of image processing and the accuracy of a subsequent image analysis result can be improved. And then receiving a result of the data correction user after adjusting the center line and the contour, which is returned by the data correction user through the terminal, so that the accuracy of the center line and the contour is improved through the interactive operation of the data correction user after adjusting the center line and the contour, modeling is carried out according to the adjusted result to generate a three-dimensional mesh of the blood vessel, and fluid mechanics simulation processing is carried out according to the three-dimensional mesh through cloud computing service, so that a more accurate simulation result file can be obtained. And generating an accurate three-dimensional functional color code image according to the simulation result file and the three-dimensional grid, accurately determining a blood flow characteristic value at a vascular stenosis position in the three-dimensional grid according to the accurate simulation result file, generating an accurate image analysis report according to the determined blood flow characteristic value and the functional color code image, and sending the accurate image analysis report to a terminal used by a doctor. The accuracy of the analysis and processing of the blood vessel medical images is improved through a complete scheme combining an AI algorithm, a fluid mechanics method and a cloud computing technology and a multi-end interaction and remote assistance flow among doctors, data correction users and an automation program.
Drawings
FIG. 1 is a diagram illustrating an exemplary embodiment of a method for analyzing and processing a medical image of a blood vessel;
FIG. 2 is a flow chart illustrating a method for analyzing and processing a vascular medical image according to an embodiment;
FIG. 3 is an interface diagram of a vessel medical image analysis processing method according to an embodiment;
FIG. 4 is a schematic diagram of a three-dimensional mesh in one embodiment;
FIG. 5 is an interface diagram of a vessel medical image analysis processing method according to an embodiment;
FIG. 6 is a flowchart illustrating an overall process of a vessel medical image analysis processing method in an automatic mode according to an embodiment;
FIG. 7 is a flowchart illustrating an overall process of a vessel medical image analysis processing method in an interactive mode according to an embodiment;
FIG. 8 is a diagram of a system architecture for implementing a method for analyzing and processing medical images of blood vessels, according to an embodiment;
FIG. 9 is a block diagram showing an exemplary embodiment of a vascular medical image analysis processing apparatus;
FIG. 10 is a block diagram showing the structure of a blood vessel medical image analysis processing apparatus according to another embodiment;
FIG. 11 is a diagram illustrating an internal structure of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The blood vessel medical image analysis processing method provided by the application can be applied to the application environment shown in fig. 1. Wherein, the server 102, the terminal 104 used by the doctor and the terminal 106 used by the data correction user are communicated with each other through a network. The server 102 may receive a blood vessel medical image sent by the medical data system or introduced by the doctor using the terminal 104, and generate a center line and a contour of a blood vessel in the blood vessel medical image. The terminal 106 used by the data correction user can load the center line and the outline of the blood vessel and send the result of the adjustment of the center line and the outline by the data correction user to the server 102. The server 102 may perform modeling according to the adjusted result to generate a three-dimensional mesh of the blood vessel, perform fluid mechanics simulation processing according to the three-dimensional mesh through cloud computing service, perform simulation prediction to obtain a simulation result file including blood flow characteristic values of each point in the three-dimensional mesh, generate a three-dimensional functional color code diagram according to the simulation result file and the three-dimensional mesh, determine a blood flow characteristic value at a position of a blood vessel stenosis in the three-dimensional mesh according to the simulation result file, generate an image analysis report according to the determined blood flow characteristic value and the functional color code diagram, and send the image analysis report to the terminal 104 used by the doctor.
The terminal 104 used by the doctor and the terminal 106 used by the data correction user can be, but are not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices. It should be noted that, in some embodiments, the data correction user may be a doctor, and in this case, the terminal used by the data correction user may be a terminal used by the doctor.
The server 102 may be implemented as a stand-alone server or as a server cluster comprised of multiple servers. It is understood that the server 102 may include a plurality of servers having different functions (or performing different tasks), such as WEB servers, GPU servers, databases, and NAS file systems. The multiple servers cooperate together to realize the blood vessel medical image analysis processing method in the embodiments of the application.
In one embodiment, as shown in fig. 2, a method for analyzing and processing a blood vessel medical image is provided, which is described by taking the method as an example applied to the server in fig. 1, and includes the following steps:
s202, receiving a blood vessel medical image sent by a medical data system or imported by a doctor by using a terminal.
The medical data system is a system for managing medical data such as medical images in a hospital.
In one embodiment, the medical data System may be any one of a PACS (Picture Archiving and Communication Systems), a RIS (radiology Information management System), a HIS (Hospital Information System), and a System directly connected to a medical imaging (CT or nuclear magnetic, etc.) System.
The blood vessel medical image is a three-dimensional medical image including a blood vessel. In one embodiment, the medical images of the blood vessel may include at least one of CT (Computed Tomography) images, MRI (Magnetic Resonance Imaging) images, ultrasound images, coronary angiography, nuclear Imaging (SPECT or PET), X-ray images, and the like. In one embodiment, the vessel medical image may be a DICOM format (Digital Imaging and Communications in Medicine, defining a medical image format available for data exchange that is of sufficient quality to meet clinical needs).
In one embodiment, the server may receive the vessel medical image sent by the medical data system of the hospital.
In one embodiment, the server may receive the vessel medical image imported by the doctor in the page loaded by the terminal used. As shown in fig. 3, which is a schematic view of a page loaded by a doctor at a terminal used by the doctor, the doctor can import a blood vessel medical image through an "import DICOM file" entry in the page shown in fig. 3. After the video is imported, the processing state in the system is displayed as "in process" as shown in fig. 3.
In one embodiment, a clinician in a clinical department may use a terminal in the clinical department to send a message to a terminal used by a radiologist. After seeing the message received by the terminal, the radiologist can import the vascular medical image to the server through a page loaded by the terminal used by the radiologist.
S204, carrying out image quality detection on the blood vessel medical image, and carrying out image processing on the blood vessel medical image after the quality detection is passed so as to generate the central line and the outline of the blood vessel in the blood vessel medical image.
In one embodiment, the server may perform image quality detection on the received blood vessel medical image, and when the image quality detection is passed, the server may perform image processing on the blood vessel medical image to generate a center line and a contour of a blood vessel in the blood vessel medical image and the subsequent steps; when the image detection is failed, the server can send a message for indicating that the image quality is not qualified to a terminal used by a doctor so as to inform the doctor that the quality of the blood vessel medical image is not qualified.
In one embodiment, the server may perform image segmentation processing (i.e., primary segmentation) on the blood vessel medical image after the image quality detection is passed to obtain a blood vessel segmentation image, then perform processing of extracting a center line on the blood vessel segmentation image to extract a center line of the blood vessel, and then generate a contour of the blood vessel according to the center line and the blood vessel segmentation image.
And S206, correcting the center line and the contour of the terminal loading blood vessel used by the user through data.
In one embodiment, the server, after generating the centerline and contour of the vessel, may send a message to the terminal used by the data correction user. The data correction user can load the center line and the outline of the blood vessel through the terminal used by the data correction user after seeing the message received by the terminal used by the data correction user.
The data correction user can judge whether the center line and the contour of the loaded blood vessel need to be adjusted through the specialty, when the center line and the contour of the loaded blood vessel need to be adjusted, the data correction user can adjust the center line and the contour of the blood vessel loaded by the terminal so as to improve the accuracy of the center line and the contour, and the adjusted result is sent to the server through the terminal. It will be appreciated that when no adjustment is required, the data correction user may then not perform the adjustment process.
In one embodiment, the data correction user can calibrate the center line and check and correct the contour of the coronary lesion area to ensure that it reflects the true lumen of the blood vessel.
In one embodiment, the data correction user may be a data analyst responsible for data correction or a doctor.
And S208, when a result of adjusting the center line and the contour returned by the data correction user through the terminal is received, modeling is carried out according to the adjusted result, and the three-dimensional grid of the blood vessel is generated.
The three-dimensional mesh is a solid mesh of blood vessels represented by solid polyhedrons.
In one embodiment, the solid polyhedrons may be solid tetrahedrons. As shown in fig. 4, is a schematic representation of a three-dimensional mesh of blood vessels.
Specifically, when receiving a result of adjusting the center line and the contour returned by the data correction user through the terminal, the server may perform modeling according to the adjusted center line and contour to generate a three-dimensional mesh of the blood vessel.
In one embodiment, the step of generating a three-dimensional mesh of the blood vessel based on the modeling performed after the adjusting comprises: the server can firstly create a blood vessel surface model according to the adjusted contour, then carry out smoothing treatment on the wall of the blood vessel surface model, and then carry out three-dimensional mesh generation based on the smooth blood vessel surface model to obtain the final three-dimensional mesh.
It can be understood that when the result of adjusting the center line and the contour returned by the data correction user through the terminal is not received, or the message of passing the inspection returned by the data correction user through the terminal is received, it indicates that no adjustment is needed, then modeling may be automatically performed according to the contour generated in step S204, and a three-dimensional mesh of the blood vessel is generated.
S210, performing fluid mechanics simulation processing according to the three-dimensional grid through cloud computing service, and performing simulation prediction to obtain a simulation result file comprising blood flow characteristic values of all points in the three-dimensional grid.
The blood flow characteristic value is a value of an important physiological index for a doctor to evaluate the health condition of a blood vessel. The Fluid mechanics simulation process relates to Computational Fluid Dynamics (CFD). Computational fluid mechanics is an emerging interdisciplinary subject in which fluid mechanics and computer science are mutually fused, and an approximate solution of a fluid control equation is obtained by starting from a calculation method and utilizing the rapid calculation capability of a computer.
In one embodiment, the blood flow characteristic value may include a value of at least one of Fractional Flow Reserve (FFR), Wall Shear Stress (WSS), Axial Plaque Stress (APS), and oscillation coefficient (OSI), among others.
In one embodiment, the server may first obtain a simulation parameter file of the blood vessel, and then perform fluid mechanics simulation processing according to the simulation parameter file and the three-dimensional mesh through a cloud computing service provided by the supercomputing center to generate a simulation result file, where the generated simulation result file includes blood flow characteristic values of each point in the three-dimensional mesh. The simulation parameter file is a file containing parameters required for performing hydrodynamic simulation on the blood vessel. In one embodiment, the simulation parameter file may include simulation parameters of the blood vessel, and initial conditions and boundary conditions corresponding to a three-dimensional mesh generated according to the simulation parameters.
And S212, generating a three-dimensional functional color code image according to the simulation result file and the three-dimensional grid.
The functional color code image is a color three-dimensional image used for representing blood flow characteristic values of each point in a three-dimensional grid. In the functional color code map, different colors are used to represent different blood flow characteristic values.
In one embodiment, the server may represent the blood flow characteristic values of each point in the three-dimensional mesh in the simulation result file in the form of colors, and the different blood flow characteristic values are distinguished by different colors to generate the functional color code map.
And S214, determining a blood flow characteristic value at the position of the blood vessel stenosis in the three-dimensional grid according to the simulation result file, generating an image analysis report according to the determined blood flow characteristic value and the functional color code image, and sending the image analysis report to a terminal used by a doctor.
It can be understood that a lesion may exist at the position of the blood vessel stenosis, and therefore, data of the blood flow characteristic value at the position of the blood vessel stenosis needs to be determined and fed back to the doctor to serve as reference data for the doctor to judge whether the lesion exists in the blood vessel. It should be noted that the blood flow characteristic value at the position of the stenosis of the blood vessel does not directly indicate whether the lesion exists, but needs a doctor or a professional to further judge whether the lesion exists according to the blood flow characteristic value through professional medical knowledge, and therefore, does not belong to the diagnosis result of the disease.
In one embodiment, the server may automatically determine a blood flow characteristic value at a position of a blood vessel stenosis in the three-dimensional mesh according to the blood flow characteristic values of each point in the three-dimensional mesh in the simulation result file, and generate an image analysis report according to the determined blood flow characteristic value at the position of the blood vessel stenosis and the generated functional color code map. That is, the image analysis report includes a blood flow characteristic value at the position of the blood vessel stenosis and a functional color code map of the blood vessel.
In one embodiment, the server may generate the image analysis report according to the blood flow characteristic value at the position of the blood vessel stenosis and the two-dimensional image obtained by screenshot of the functional color code map. In one embodiment, the two-dimensional image obtained by screenshot of the functional color code image may be obtained by automatically screenshot by a server or by screenshot by a data correction user.
It can be understood that the image analysis report includes data obtained by performing image processing and analysis on the blood vessel medical image, and is not a direct result of whether a lesion is present, but is used for providing reference data for a doctor to analyze and judge the blood vessel condition, and the doctor or a professional needs to perform further professional analysis and judgment on the image analysis report through professional medical knowledge, so the image analysis report does not belong to a diagnosis result of a disease.
In one embodiment, after generating the image analysis report, the server may send a message to the terminal used by the doctor. After seeing the message received by the terminal, the doctor can load the image analysis report through the terminal.
In one embodiment, after generating the image analysis report, the server may send the image analysis report to a terminal used by the doctor and to a medical data system of the hospital.
In an embodiment, the image analysis report may include, without limitation, a blood flow characteristic value at the position of the blood vessel stenosis, and other data such as a curve of the blood flow characteristic value, in addition to the two-dimensional image of the functional color code map.
In the method for analyzing and processing the blood vessel medical image, the blood vessel medical image sent by the medical data system or introduced by a doctor using a terminal is received, and after the image quality detection of the blood vessel medical image is passed, the central line and the outline of the blood vessel in the blood vessel medical image are generated. And after the image quality detection is passed, subsequent image processing is carried out, so that the accuracy and efficiency of image processing and the accuracy of a subsequent image analysis result can be improved. And then receiving a result of adjusting the center line and the contour, which is returned by a data correction user through a terminal, so that the accuracy of the center line and the contour is improved through interactive operation of adjusting the center line and the contour by the data correction user, modeling according to the adjusted result to generate a three-dimensional grid of the blood vessel, performing fluid mechanics simulation processing according to the three-dimensional grid through cloud computing service to obtain a more accurate simulation result file, generating an accurate three-dimensional functional color code diagram according to the simulation result file and the three-dimensional grid, accurately determining a blood flow characteristic value at a position of a blood vessel stenosis in the three-dimensional grid according to the accurate simulation result file, and generating an accurate image analysis report according to the determined blood flow characteristic value and the functional color code diagram and sending the accurate image analysis report to the terminal used by a doctor. The accuracy of the analysis and processing of the blood vessel medical images is improved through a complete scheme combining an AI algorithm, a fluid mechanics method and a cloud computing technology and a multi-end interaction (multi-person cooperation) and remote assistance process among doctors, data correction users and an automation program. In addition, through the cloud computing service, the large-scale batch processing capacity of the system can be improved, and the processing efficiency is improved.
In one embodiment, after the step of loading the centerline and contour of the vessel by the terminal used by the user with data correction, the method further comprises: when a message that the center line and the contour check of the data correction user is passed is received, the center line and the contour of the blood vessel are returned by the data correction user through the terminal, a three-dimensional grid of the blood vessel is generated, cloud computing service is executed, and fluid mechanics simulation processing and subsequent steps are carried out according to the three-dimensional grid.
Specifically, the terminal used by the data correction user can load the center line and the outline of the blood vessel, and the data correction user can check the center line and the outline loaded by the terminal. When the inspection is passed (i.e., the center line and the contour are not required to be adjusted), the data correction user can return a message that the inspection of the center line and the contour is passed to the server through the terminal, and after the server receives the message, the server can perform modeling according to the center line and the contour (i.e., the center line and the contour which are not adjusted) of the blood vessel automatically generated through image processing, generate a three-dimensional grid of the blood vessel, and perform hydrodynamics simulation processing and subsequent steps according to the three-dimensional grid through cloud computing service. When the check is not passed (namely, the center line and the outline need to be adjusted), the data correction user can adjust the center line and the outline through the terminal and return the adjusted center line and the outline to the server through the terminal, and the server performs modeling according to the adjusted result when receiving the adjusted result to generate the three-dimensional mesh of the blood vessel and subsequent steps.
In this embodiment, the data correction user may examine the center line and contour, and the server may directly model the center line and contour (i.e., the center line and contour without adjustment) of the blood vessel generated by the image processing when the examination passes. Through the adjustment operation performed by the data correction user, the accuracy of the central line and the outline is ensured, and the accuracy of the analysis and the processing of the blood vessel image can be further improved.
In one embodiment, after the step of generating a three-dimensional mesh of the blood vessel based on the modeling performed after the adjusting, the method further comprises: loading the three-dimensional grid through a terminal used by an auditor; when receiving a message which is returned by an auditor through a terminal and is used for passing the audit of the three-dimensional grid, executing cloud computing service, performing fluid mechanics simulation processing according to the three-dimensional grid, and performing simulation prediction to obtain a simulation result file comprising blood flow characteristic values of all points in the three-dimensional grid and subsequent steps; and when a message that the audit of the three-dimensional grid fails, which is returned by the auditor through the terminal, is received, the loading of the center line and the contour of the blood vessel and subsequent steps through the terminal used by the data correction user are returned to be executed until the audit is passed.
Specifically, after the step of generating a three-dimensional mesh of a blood vessel by modeling according to the adjusted result, the server may send a message to a terminal used by an auditor. After seeing the message received by the terminal, the auditor can load the generated three-dimensional grid through the terminal and audit the three-dimensional grid.
In one embodiment, when the auditor passes the audit (that is, the generated three-dimensional grid is qualified for audit), the auditor can send an audit passing message to the server through the terminal, and when the server receives the audit passing message, the server can execute a cloud computing service, perform fluid mechanics simulation processing according to the three-dimensional grid, and perform simulation prediction to obtain a simulation result file including blood flow characteristic values of each point in the three-dimensional grid and subsequent steps.
In one embodiment, when the auditor fails to audit (i.e., the generated three-dimensional grid is not qualified for auditing, the center line and the contour still need to be adjusted again, and the three-dimensional grid is regenerated), the auditor can send a message that the auditing fails to pass to the server through the terminal. When receiving the message that the audit fails, the server may return to the step of sending the message to the terminal used by the data correction user, so that the data correction user loads the centerline and contour of the blood vessel through the terminal after seeing the message received by the terminal used, and adjusts the centerline and contour of the blood vessel loaded by the terminal until the server models the generated three-dimensional mesh according to the adjusted centerline and contour to be audited.
In one embodiment, two modes, an automatic mode and an interactive mode, are provided. In the automatic mode, the data correction user is a doctor, and may be executed as steps S202 to S214. In the interactive mode, the data correction user is a data analyst, and on the basis of the steps S202 to S214, a step of an auditor auditing the three-dimensional mesh generated according to the result adjusted by the data analyst may be added, so as to further improve the accuracy of the blood vessel image analysis processing result. The mode may be set in advance, or may be selected by the user.
In the embodiment, after the three-dimensional grid is generated by the server, the auditor audits the three-dimensional grid through the terminal used by the auditor, and when the audit does not pass, the data correction user can readjust the center line and the outline until the audit passes, so that on the basis that the data correction user adjusts the center line and the outline, the accuracy of the generated three-dimensional grid is further ensured through the audit operation of the auditor, and the accuracy of the analysis and processing of the blood vessel medical image is further improved.
In one embodiment, the step of generating an image analysis report and sending the image analysis report to a terminal used by a doctor according to the determined blood flow characteristic value and the functional color code image comprises the following steps: a functional color code image is loaded through a terminal used by a data correction user; when a screenshot instruction aiming at the functional color code image sent by a data correction user through a terminal is received, a two-dimensional image of the functional color code image is intercepted according to the screenshot instruction, and an image analysis report is generated and sent to the terminal used by a doctor according to the blood flow characteristic value and the two-dimensional image of the functional color code image.
In one embodiment, the data correction user may be a doctor or a data analyst responsible for performing screenshot operations and generating image analysis reports.
Specifically, after the server determines the blood flow characteristic value at the position of the stenosis of the blood vessel in the three-dimensional mesh and generates the three-dimensional functional color code map, the server may send a message to the terminal used by the data correction user. After seeing the message received by the terminal, the data correction user can load the functional color code image generated by the server through the terminal. A data correction user can perform screenshot operation through a terminal, and the terminal can generate a screenshot instruction after receiving the screenshot operation. The terminal can intercept the two-dimensional image of the functional optical color code image at the current displayed angle according to the screenshot instruction, and send the intercepted two-dimensional image to the server. The server can generate an image analysis report according to the intercepted two-dimensional image and the determined blood flow characteristic value at the position of the blood vessel stenosis in the three-dimensional grid, and sends a message to a terminal used by a doctor. After seeing the message received by the terminal, the doctor can load the image analysis report through the terminal.
In one embodiment, a data correction user can adjust the angle of the functional optical color code image through the terminal, then perform screenshot operation, the terminal can generate a screenshot instruction according to the screenshot operation, then intercept the two-dimensional image of the functional optical color code image at the adjusted angle according to the screenshot instruction, and send the intercepted two-dimensional image to the server and perform subsequent steps.
In one embodiment, after the data correction user performs screenshot operation, the data correction user may send an instruction for generating an image analysis report through a used terminal, the terminal may send the instruction for generating the image analysis report to a server, and the server may generate the image analysis report according to the intercepted two-dimensional image and the determined blood flow characteristic value at the position of the blood vessel stenosis in the three-dimensional grid in response to the instruction for generating the image analysis report after receiving the instruction.
In this embodiment, the data correction user can perform screenshot processing on the functional science color code image through the terminal to obtain a two-dimensional image of the functional science color code image, the server can generate an image analysis report according to the two-dimensional image of the functional science color code image and a blood flow characteristic value of a blood vessel narrow position in a three-dimensional grid and send the image analysis report to the terminal used by a doctor, so that the data correction user performs screenshot processing on the functional science color code image through the terminal, the accuracy of generating the two-dimensional image of the functional science color code image in the image analysis report is ensured, and the accuracy of analyzing and processing the blood vessel image is improved.
In one embodiment, the step of generating and sending the image analysis report to a terminal used by the doctor comprises: generating an image analysis report; loading a generated image analysis report through a terminal used by an auditor; when receiving a message which is returned by an auditor through a terminal and aims at the passing of the audit of the image analysis report, sending the image analysis report to a terminal used by a doctor; and when receiving a message which is returned by the auditor through the terminal and aims at the image analysis report and does not pass the audit, returning to execute the steps of loading the functional color code image through the terminal used by the data correction user and the subsequent steps until the audit passes.
Specifically, after the image analysis report is generated, the server may send a message to a terminal used by an auditor, and after the auditor views the message received by the terminal, the image analysis report may be loaded through the terminal, and the loaded image analysis report is audited.
In one embodiment, when the auditor passes the audit of the image analysis report (i.e., the image analysis report is qualified, the image analysis report may be sent to the doctor), the auditor may send a message that the audit passes to the server through the terminal used, and the server may send the image analysis report to the terminal used by the doctor after receiving the message that the audit passes.
In one embodiment, when the auditor fails to audit the image analysis report (that is, the image analysis report is not qualified, and the image analysis report needs to be regenerated), the auditor may send a message that the audit fails to pass to the server through the used terminal, and after receiving the message that the audit fails, the server may perform loading of the functional color code image and subsequent steps through the terminal used by the data correction user, so that the data correction user performs the screenshot operation on the functional color code image again, and generates a new image analysis report according to the two-dimensional image after screenshot again and the blood flow characteristic value at the position of the vascular stenosis until the image analysis report is approved.
In one embodiment, the image analysis report reviewed by the reviewer may be automatically generated by the server, when the review by the reviewer fails, the data correction user performs screenshot operation on the functional color code image through the terminal, and the server regenerates the image analysis report according to the blood flow characteristic value at the position of the blood vessel stenosis and the two-dimensional image of the functional color code image obtained by the screenshot operation of the data correction user. In another embodiment, the image analysis report reviewed by the reviewer may be an image analysis report generated by the server according to the blood flow characteristic value at the position of the blood vessel stenosis and a two-dimensional image of a functional color code diagram obtained by the screenshot operation of the data correction user.
In this embodiment, an auditor can audit the generated image analysis report through the used terminal, and when the audit is not passed, the data correction user can perform screenshot operation again, so that the server regenerates the image analysis report until the generated image analysis report is passed, and the accuracy of the two-dimensional image of the functional color code image in the generated image analysis report is ensured through the interactive operation of the auditor and the data analyst, thereby improving the accuracy of the analysis processing of the blood vessel image.
In one embodiment, the fluid mechanics simulation processing is performed according to a three-dimensional grid through a cloud computing service, and the step of obtaining a simulation result file including blood flow characteristic values of each point in the three-dimensional grid through simulation prediction includes: acquiring a simulation parameter file; performing hydromechanics simulation processing on the blood vessel iteratively through cloud computing service according to the simulation parameter file and the three-dimensional grid to generate a blood flow characteristic value on each grid unit in the three-dimensional grid on each time node; and merging the blood flow characteristic values of each grid unit in the three-dimensional grid on each time node in the last time period to generate a simulation result file.
Specifically, the server may iteratively perform hydromechanical simulation processing on the blood vessel according to the simulation parameter file and the three-dimensional grid through a cloud computing service provided by the supercomputing center to generate a blood flow characteristic value on each grid unit in the three-dimensional grid at each time node, and then merge the blood flow characteristic values on each grid unit in the three-dimensional grid at each time node in the last time period to generate a simulation result file. It is understood that the simulation process is a process of developing from an unstable state to a stable state, and as time goes on, each hemodynamic parameter tends to be stable, so that the result of the last cardiac cycle can be selected as the final simulation result.
In the embodiment, the server can perform hydromechanical simulation on the blood vessel through the cloud computing service, so that a simulation result file can be generated more quickly and accurately, and the accuracy and efficiency of analysis and processing of the blood vessel image are improved.
In one embodiment, the method further comprises: and (4) obtaining a blood flow characteristic value along the central line of the blood vessel according to the simulation result file, and generating a blood flow characteristic result curve according to the obtained blood flow characteristic value. The steps of generating an image analysis report according to the determined blood flow characteristic value and the functional color code image and sending the image analysis report to a terminal used by a doctor comprise the following steps: adjusting the current space coordinates of each point on the central line to the target space coordinates of each point on the central line in the functional color code image by adjusting the angle of the functional color code image; screenshot is carried out on the adjusted functional color code image to obtain a two-dimensional image of the functional color code image; and generating an image analysis report according to the blood flow characteristic value, the two-dimensional image of the functional color code graph and the blood flow characteristic result curve, and sending the image analysis report to a terminal used by a doctor.
The blood flow characteristic result curve is a curve for representing blood flow characteristic values of points along a center line of the blood vessel.
In one embodiment, the server may select points at equal intervals along the centerline of the blood vessel in the simulation result file according to a preset interval, determine blood flow characteristic values of the points, and generate a blood flow characteristic result curve according to the blood flow characteristic values of the points.
In one embodiment, the server may determine target spatial coordinates of each point on a centerline of the functional color code map and then adjust the angle of the functional color code map such that each point on the centerline of the functional color code map is adjusted to the target spatial coordinates. The server can perform screenshot processing on the adjusted functional color code image to obtain a two-dimensional image of the functional color code image. The server can generate an image analysis report according to the blood flow characteristic value at the position of the blood vessel stenosis, the two-dimensional image of the functional color code graph and the blood flow characteristic result curve and send the image analysis report to the terminal used by the doctor.
In this embodiment, the server may generate a blood flow characteristic result curve, thereby increasing the information amount of the image analysis report. The server can also automatically capture the image to generate a two-dimensional image of the functional optical color code image, so that the automatic processing capacity of the system is improved, and the efficiency is improved.
In one embodiment, after the step of generating and sending an image analysis report to a terminal used by the doctor based on the determined blood flow characteristic values and the functional color code map, the method further comprises: a functional color code graph is displayed through a terminal used by a doctor to check an entrance and a center line modification entrance; when a trigger operation of a doctor for checking an entrance of the functional color code image is received, displaying the functional color code image; when a trigger operation of a doctor for modifying an entrance aiming at the center line is received, the center line and the outline are displayed; and when an adjusting instruction aiming at the displayed central line and outline sent by a doctor through the terminal is received, correspondingly adjusting the central line and the outline, returning to execute modeling according to the adjusted result, and generating the three-dimensional mesh of the blood vessel and the subsequent steps.
In one embodiment, as shown in fig. 5, which is a schematic diagram of a page loaded by a terminal used by a doctor, a "three-dimensional color code image" option in the diagram is a functional color code image viewing entry, and a "center line modification" option in the diagram is a center line modification entry.
In one embodiment, when the terminal used by the doctor receives a trigger operation of the doctor for viewing the entry of the functional color code diagram, the terminal used by the doctor can display the functional color code diagram generated by the server.
In one embodiment, the visual analysis report viewing portal (i.e., the "download report" option in FIG. 5) may also be presented via a terminal used by the physician. When the terminal used by the doctor receives the trigger operation of the doctor for the image analysis report viewing inlet, the terminal can display the image analysis report sent by the server. The doctor can trigger the terminal to download the image analysis report to the local of the terminal based on a download inlet in a display interface of the image analysis report.
It is understood that the doctor can determine whether the center line and the contour need to be adjusted by looking at least one of the functional color code map and the image analysis report, and make the server perform the vascular medical image analysis again based on the adjusted center line and contour to generate the image analysis report. When the physician determines that the centerline and contour need to be adjusted, the physician may trigger a centerline modifying portal.
In one embodiment, when the terminal used by the doctor receives a trigger operation of the doctor to modify the entry for the centerline, the terminal used by the doctor may present the centerline and contour of the blood vessel generated by the server. The doctor can send out an adjusting instruction aiming at the displayed central line and contour through the terminal, the server can correspondingly adjust the central line and the contour according to the adjusting instruction, then the modeling is carried out according to the adjusted result, the three-dimensional grid of the blood vessel and the subsequent steps are generated, so that the analysis and the processing of the medical image of the blood vessel are carried out again according to the central line and the contour which are adjusted by the doctor until the central line and the contour are not adjusted by the doctor after an image analysis report is generated and sent to the terminal used by the doctor.
In this embodiment, the doctor can check the entry through the functional color code map to check the functional color code map, and the doctor can also modify the entry through the center line to adjust the center line and the contour, so that the server can perform again the blood vessel medical image analysis processing according to the adjusted center line and contour to generate a new image analysis report.
In one embodiment, the data correction user comprises a physician. When a result of adjusting the center line and the contour returned by a data correction user through a terminal is received, modeling is performed according to the adjusted result, and the step of generating the three-dimensional mesh of the blood vessel comprises the following steps: and when a result of adjusting the center line and the contour returned by the doctor through the terminal is received, modeling is carried out according to the adjusted result, and the three-dimensional grid of the blood vessel is generated. After the step of generating an image analysis report according to the determined blood flow characteristic value and the functional color code image and sending the image analysis report to a terminal used by a doctor, the method further comprises the following steps: displaying an image analysis report viewing entry through a terminal used by a doctor; and when a trigger operation of a doctor for viewing the image analysis report is received, displaying the image analysis report.
Specifically, after the server generates the center line and the contour, the server can send a message to a terminal used by a doctor, after the doctor sees the message received by the terminal, the doctor can load the center line and the contour through the terminal, adjust the center line and the contour through the terminal, and feed back the adjusted center line and contour to the server. After receiving the adjusted central line and contour, the server can perform modeling according to the adjusted central line and contour to generate a three-dimensional mesh of the blood vessel.
In one embodiment, after the server generates and sends the image analysis report to the terminal used by the doctor, an image analysis report viewing portal (i.e., the "download report" option in fig. 5) may be presented through the terminal used by the doctor. When the terminal used by the doctor receives the trigger operation of the doctor for the image analysis report viewing inlet, the terminal can display the image analysis report sent by the server. The doctor can trigger the terminal to download the image analysis report to the local of the terminal based on a download inlet in a display interface of the image analysis report.
In this embodiment, a doctor can adjust the center line and the contour in the process of analyzing and processing the blood vessel medical image, thereby improving the accuracy of the finally generated image analysis report. The doctor can also check the image analysis report through the image analysis report checking entrance of the used terminal, and the convenience of operation is improved.
In an embodiment, as shown in fig. 6, an overall flowchart of a blood vessel medical image analysis processing method in an automatic mode in the embodiments of the present application is shown. Firstly, an original blood vessel medical image (which can be a file in a DICOM format) is sent to a server for analyzing and processing the blood vessel medical image from a medical data system, and the server can detect the image quality after receiving the blood vessel medical image. When the image quality test fails, the server may send a notification of the image quality being not acceptable to the terminal used by the doctor. When the image quality detection passes, the server can perform initial segmentation on the received blood vessel medical image, then extract the center line of the blood vessel and generate the outline of the blood vessel. After the center line and the outline are generated, the server can send a message to a terminal used by a doctor, after the doctor sees the message received by the terminal, the doctor can load the center line and the outline by triggering a center line modification inlet displayed by the terminal, and after the doctor can check the center line and the outline loaded by the terminal, the doctor can determine whether the center line and the outline need to be manually adjusted. When the physician determines that no manual adjustment is required, the server may model directly from the unadjusted centerlines and contours to generate a three-dimensional mesh. When the doctor determines that the center line and the contour need to be adjusted, the doctor can adjust the center line and the contour through the used terminal, and the server can model according to the adjusted center line and contour returned by the terminal used by the doctor to generate the three-dimensional grid. After the three-dimensional mesh is generated, the server may perform a pre-simulation process (i.e., obtain a simulation parameter file), then perform a fluid mechanics simulation process according to the simulation parameter file and the three-dimensional mesh through a cloud computing service provided by the supercomputing center, then perform a file conversion process according to a simulation result (i.e., merge blood flow characteristic values on each mesh unit in the three-dimensional mesh at each time node in the last time period), and generate a simulation result file, and finally perform a post-simulation process (including at least one of determining a blood flow characteristic value at a vascular stenosis position according to the simulation result file, generating a functional color code map according to the simulation result file, and generating a blood flow characteristic result curve according to the simulation result). The server can generate an image analysis report according to the simulation post-processing result. The doctor can load and view the image analysis report through the used terminal. The server can also send the image analysis report to the medical data system for storage.
In an embodiment, as shown in fig. 7, an overall flowchart of a blood vessel medical image analysis processing method in an interactive mode in embodiments of the present application is shown. The clinical department doctor sends an application for analyzing the blood vessel medical image to a terminal used by a radiologist through the used terminal, the radiologist can introduce an original blood vessel medical image (which can be a file in a DICOM format) through the used terminal, desensitizes the introduced blood vessel medical image and sends the desensitized blood vessel medical image to a server for analyzing the blood vessel medical image to generate a CT record of a patient, and the server can perform image quality detection on the received blood vessel medical image. When the image quality test fails, the server may send a notification to the terminal used by the clinician that the image quality is not acceptable. When the image quality detection passes, the server can perform initial segmentation on the received blood vessel medical image, then extract the center line of the blood vessel and generate the outline of the blood vessel. After generating the centerline and contour, the data analyst may examine the centerline and contour through the terminal used to determine whether adjustments to the centerline and contour are needed. When the data analyst determines that the centerlines and contours do not need to be adjusted, the server may model based on the unadjusted centerlines and contours to generate a three-dimensional mesh file. When the data analyst determines that the center line and the contour need to be adjusted, the data analyst can adjust the center line and the contour through the used terminal, and the server can model according to the adjusted center line and contour to generate the three-dimensional grid file. After the three-dimensional grid file is generated, an auditor can audit the three-dimensional grid file through the used terminal. And when the auditor passes the audit, the server can perform simulation processing according to the three-dimensional grid file. When the auditor fails to audit, the data analyst can adjust the central line and the outline again through the used terminal, and the server can generate the three-dimensional grid file according to the adjusted central line and the outline until the auditor passes the audit on the generated three-dimensional grid file. After the verification is passed, the server may perform a pre-simulation process (i.e., obtain a simulation parameter file), then perform a hydrodynamics simulation process according to the simulation parameter file and the three-dimensional grid through a cloud computing service provided by the supercomputing center, then perform a file conversion process according to a simulation result (i.e., merge blood flow characteristic values on each grid unit in the three-dimensional grid at each time node in the last time period), and generate a simulation result file, and finally perform a post-simulation process (including at least one of determining a blood flow characteristic value at a vascular stenosis position according to the simulation result file, generating a functional color code diagram according to the simulation result file, generating a blood flow characteristic result curve according to the simulation result, and the like). The data analyst can perform corresponding processing (including screenshot on the functional color code image) according to the data obtained by the simulation post-processing through the used terminal to generate an image analysis report. The auditor can audit the generated image analysis report through the used terminal. When the auditor passes the audit, the doctor can check the image analysis report through the used terminal. When the auditor fails to review the image, the data analyst can perform corresponding processing (including screenshot on the functional color code image) through the used terminal according to the data obtained by the simulation post-processing again, and generate an image analysis report, and the doctor can check the image analysis report through the used terminal until the generated image analysis report passes the auditor.
In one embodiment, in the interactive mode, in the process of adjustment by the data analyst and audit by the auditor, the server may directly and automatically execute the subsequent process, after receiving the adjustment result of the data analyst, the server may return to the step of executing the process according to the adjusted result, and when the data analyst does not make adjustment, the server may directly perform processing for subsequently generating the image analysis report according to the automatically completed result, so that the processing efficiency may be improved. In another embodiment, in the interactive mode, during the adjustment of the data analyst and the audit of the auditor, the server may wait, and after receiving the adjustment result or the audit result, perform the subsequent steps, thereby avoiding the waste of system resources.
In one embodiment, the blood vessel medical image analysis processing method in the embodiments of the present application may be implemented by a system as shown in fig. 8. The WEB server is responsible for managing and scheduling all data, users such as doctors, data analysts and auditors can acquire and load the data in the WEB server through the used terminals to check the data in a browser of the terminal, the GPU server is responsible for executing all AI programs for executing the vascular medical image analysis processing method, the computer cluster is responsible for performing fluid mechanics simulation calculation, the databases (a master library and a slave library) are responsible for storing and backing up business data (the business data comprises system user information, patient CT record information, audit records, operation logs and the like), and the NAS file system is responsible for storing and managing medical image files.
It should be understood that, although the steps in the flowchart of fig. 2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 2 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
In one embodiment, as shown in fig. 9, there is provided a blood vessel medical image analysis processing apparatus 900, including: an image acquisition module 902, a centerline generation module 904, a correction module 906, a model generation module 908, a simulation module 910, a simulation result processing module 912, and a report generation module 914, wherein:
an image obtaining module 902, configured to receive a blood vessel medical image sent by a medical data system or imported by a doctor using a terminal.
And a central line generating module 904, configured to perform image quality detection on the blood vessel medical image, and perform image processing on the blood vessel medical image after the quality detection is passed, so as to generate a central line and a contour of a blood vessel in the blood vessel medical image.
A correction module 906 for correcting the centerline and contour of the terminal-loaded vessel used by the user with the data.
And the model generation module 908 is used for modeling according to the adjusted result and generating the three-dimensional mesh of the blood vessel when receiving the result of adjusting the center line and the outline returned by the data correction user through the terminal.
The simulation module 910 is configured to perform fluid mechanics simulation processing according to the three-dimensional grid through cloud computing service, and obtain a simulation result file including blood flow characteristic values of each point in the three-dimensional grid through simulation prediction.
And the simulation result processing module 912 is configured to generate a three-dimensional functional color code image according to the simulation result file and the three-dimensional mesh.
And the report generating module 914 is used for determining a blood flow characteristic value at the position of the blood vessel stenosis in the three-dimensional grid according to the simulation result file, generating an image analysis report according to the determined blood flow characteristic value and the functional color code image, and sending the image analysis report to a terminal used by a doctor.
In one embodiment, the correction module 906 is further configured to, when receiving a message that the data correction user passes the inspection of the center line and the contour returned by the terminal, generate a three-dimensional mesh of the blood vessel according to the center line and the contour of the blood vessel, and notify the simulation module 910 to perform the hydrodynamics simulation process and subsequent steps according to the three-dimensional mesh through the cloud computing service.
In one embodiment, the blood vessel medical image analysis processing apparatus 900 further includes:
an audit module 916, configured to load the three-dimensional mesh through a terminal used by an auditor; when receiving a message which is returned by an auditor through a terminal and is used for passing the audit of the three-dimensional grid, executing cloud computing service, performing fluid mechanics simulation processing according to the three-dimensional grid, and performing simulation prediction to obtain a simulation result file comprising blood flow characteristic values of all points in the three-dimensional grid and subsequent steps; when receiving a message that the audit on the three-dimensional grid fails, which is returned by the auditor through the terminal, the notification correction module 906 performs the steps of correcting the center line and the contour of the blood vessel loaded by the terminal used by the user through the data until the audit is passed.
In one embodiment, the correction module 906 is further configured to correct the terminal-loaded functional color code map used by the user with the data; when a screenshot instruction aiming at the functional color code image sent by a data correction user through a terminal is received, a two-dimensional image of the functional color code image is intercepted according to the screenshot instruction, and an image analysis report is generated and sent to the terminal used by a doctor according to the blood flow characteristic value and the two-dimensional image of the functional color code image.
In one embodiment, the audit module 916 is further configured to generate an image analysis report; loading a generated image analysis report through a terminal used by an auditor; when receiving a message which is returned by an auditor through a terminal and aims at the passing of the audit of the image analysis report, sending the image analysis report to a terminal used by a doctor; when receiving a message that the audit of the image analysis report is not passed, which is returned by the auditor through the terminal, the return notification correction module 906 loads the functional color code image and subsequent steps through the terminal used by the data correction user until the audit is passed.
In one embodiment, the simulation module 910 is further configured to obtain a simulation parameter file; performing hydromechanics simulation processing on the blood vessel iteratively through cloud computing service according to the simulation parameter file and the three-dimensional grid to generate a blood flow characteristic value on each grid unit in the three-dimensional grid on each time node; and merging the blood flow characteristic values of each grid unit in the three-dimensional grid on each time node in the last time period to generate a simulation result file.
In one embodiment, the simulation result processing module 912 is further configured to obtain a blood flow characteristic value along a centerline of the blood vessel according to the simulation result file, and generate a blood flow characteristic result curve according to the obtained blood flow characteristic value. The report generating module 914 is further configured to adjust the current spatial coordinates of each point on the center line to the target spatial coordinates of each point on the center line in the functional color code map by adjusting the angle of the functional color code map; screenshot is carried out on the adjusted functional color code image to obtain a two-dimensional image of the functional color code image; and generating an image analysis report according to the blood flow characteristic value, the two-dimensional image of the functional color code graph and the blood flow characteristic result curve, and sending the image analysis report to a terminal used by a doctor.
In one embodiment, as shown in fig. 10, the blood vessel medical image analysis processing apparatus 900 further includes:
a result viewing module 918 for displaying a functional color code diagram viewing entry and a center line modification entry through a terminal used by a doctor; when a trigger operation of a doctor for checking an entrance of the functional color code image is received, displaying the functional color code image; when a trigger operation of a doctor for modifying an entrance aiming at the center line is received, the center line and the outline are displayed; when receiving an adjustment instruction for the displayed center line and contour sent by the doctor through the terminal, the center line and contour are adjusted correspondingly, and the model generation module 908 is notified to return to execute modeling according to the adjusted result, generate a three-dimensional mesh of the blood vessel, and perform the subsequent steps.
In one embodiment, the data correction user comprises a physician. The model generation module 908 is further configured to, when receiving a result of adjusting the center line and the contour returned by the doctor through the terminal, perform modeling according to the adjusted result, and generate a three-dimensional mesh of the blood vessel. The result viewing module 918 is further configured to display an image analysis report viewing portal through a terminal used by the doctor; and when a trigger operation of a doctor for viewing the image analysis report is received, displaying the image analysis report.
In the vascular medical image analysis processing device, the vascular medical image sent by a medical data system or imported by a doctor using a terminal is received, after the image quality of the vascular medical image is detected, the central line and the outline of the blood vessel in the vascular medical image are generated, the result of adjusting the central line and the outline returned by a data correction user through the terminal is received, so that the accuracy of the central line and the outline is improved through the interactive operation of adjusting the central line and the outline by the data correction user, modeling is performed according to the adjusted result to generate the three-dimensional grid of the blood vessel, fluid mechanics simulation processing is performed according to the three-dimensional grid through cloud computing service, a more accurate simulation result file can be obtained, an accurate three-dimensional functional color code diagram is generated according to the simulation result file and the three-dimensional grid, and the accurate simulation result file is obtained according to the cloud computing service, accurately determining a blood flow characteristic value at a position of a blood vessel stenosis in the three-dimensional grid, generating an accurate image analysis report according to the determined blood flow characteristic value and the functional color code image, and sending the accurate image analysis report to a terminal used by a doctor. The accuracy of the analysis and processing of the blood vessel medical images is improved through a complete scheme combining an AI algorithm, a fluid mechanics method and a cloud computing technology and an interactive process of multi-person cooperation and remote assistance between a doctor, a data correction user and an automation program. Through the cloud computing service, the large-scale batch processing capacity of the system can be improved, and the processing efficiency is improved
For specific limitations of the blood vessel medical image analysis processing device, reference may be made to the above limitations of the blood vessel medical image analysis processing method, which will not be described herein again. All or part of the modules in the blood vessel medical image analysis and processing device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 11. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing the blood vessel medical image data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to realize a blood vessel medical image analysis processing method.
Those skilled in the art will appreciate that the architecture shown in fig. 11 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is further provided, which includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method embodiments when executing the computer program.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (12)
1. A method for analyzing and processing a blood vessel medical image is characterized by comprising the following steps:
receiving a blood vessel medical image sent by a medical data system or imported by a doctor using a terminal;
carrying out image quality detection on the blood vessel medical image, and carrying out image processing on the blood vessel medical image after the quality detection is passed so as to generate a central line and a contour of a blood vessel in the blood vessel medical image;
loading the center line and the outline of the blood vessel through a terminal used by a data correction user;
when a result of adjusting the center line and the contour returned by the data correction user through a terminal is received, modeling is carried out according to the adjusted result, and a three-dimensional grid of the blood vessel is generated;
performing fluid mechanics simulation processing according to the three-dimensional grid through cloud computing service, and performing simulation prediction to obtain a simulation result file comprising blood flow characteristic values of all points in the three-dimensional grid;
generating a three-dimensional functional color code image according to the simulation result file and the three-dimensional grid;
and determining a blood flow characteristic value at the position of the blood vessel stenosis in the three-dimensional grid according to the simulation result file, generating an image analysis report according to the determined blood flow characteristic value and the functional color code image, and sending the image analysis report to a terminal used by a doctor.
2. The method of claim 1, wherein after said loading the centerline and contour of the vessel by data correction of the terminal used by the user, the method further comprises:
and when a message that the center line and the contour check are passed and returned by the data correction user through a terminal is received, generating a three-dimensional grid of the blood vessel according to the center line and the contour of the blood vessel, executing the cloud computing service, and performing fluid mechanics simulation processing and subsequent steps according to the three-dimensional grid.
3. The method of claim 1, wherein after the modeling from the adjusted results generates the three-dimensional mesh of blood vessels, the method further comprises:
loading the three-dimensional grid through a terminal used by an auditor;
when receiving a message that the auditor passes the three-dimensional grid returned by the auditor passing terminal, executing the passing cloud computing service, performing fluid mechanics simulation processing according to the three-dimensional grid, and performing simulation prediction to obtain a simulation result file comprising blood flow characteristic values of all points in the three-dimensional grid and subsequent steps;
and when a message that the audit of the three-dimensional grid fails, which is returned by the auditor through a terminal, is received, the center line and the contour of the blood vessel and subsequent steps loaded by the terminal used by the data passing correction user are returned to be executed until the audit is passed.
4. The method of claim 1, wherein generating and sending an image analysis report to a terminal used by a doctor according to the determined blood flow characteristic value and the functional color code map comprises:
loading the functional optical color code image through the terminal used by the data correction user;
when a screenshot instruction aiming at the functional color code image sent by the data correction user through a terminal is received, the two-dimensional image of the functional color code image is intercepted according to the screenshot instruction, and an image analysis report is generated and sent to the terminal used by a doctor according to the blood flow characteristic value and the two-dimensional image of the functional color code image.
5. The method of claim 4, wherein generating and sending the image analysis report to a terminal used by a physician comprises:
generating an image analysis report;
loading the generated image analysis report through a terminal used by an auditor;
when receiving a message which is returned by the auditor through a terminal and is used for the image analysis report, sending the image analysis report to a terminal used by a doctor;
and when receiving a message which is returned by the auditor through a terminal and does not pass the audit of the image analysis report, returning to execute the steps of loading the functional color code image and subsequent steps through the terminal used by the data correction user until the audit passes.
6. The method according to claim 1, wherein the performing, by the cloud computing service, a fluid mechanics simulation process according to the three-dimensional mesh, and the simulation predicting a simulation result file including blood flow characteristic values of each point in the three-dimensional mesh comprises:
acquiring a simulation parameter file;
performing hydromechanics simulation processing on the blood vessel iteratively according to the simulation parameter file and the three-dimensional grid through cloud computing service to generate a blood flow characteristic value on each grid unit in the three-dimensional grid on each time node;
and merging the blood flow characteristic values of each grid unit in the three-dimensional grid on each time node in the last time period to generate a simulation result file.
7. The method of claim 1, further comprising:
obtaining a blood flow characteristic value along the center line of the blood vessel according to the simulation result file, and generating a blood flow characteristic result curve according to the obtained blood flow characteristic value;
the generating an image analysis report and sending the image analysis report to a terminal used by a doctor according to the determined blood flow characteristic value and the functional color code image comprises the following steps:
adjusting the current space coordinates of each point on the central line to the target space coordinates of each point on the central line in the functional color code image by adjusting the angle of the functional color code image;
screenshot is carried out on the adjusted functional color code image to obtain a two-dimensional image of the functional color code image;
and generating an image analysis report according to the blood flow characteristic value, the two-dimensional image of the functional color code graph and the blood flow characteristic result curve, and sending the image analysis report to a terminal used by a doctor.
8. The method of claim 1, wherein after generating and sending an image analysis report to a terminal used by a doctor according to the determined blood flow characteristic values and the functional color code map, the method further comprises:
displaying a functional color code image viewing entry and a center line modification entry through a terminal used by the doctor;
displaying the functional color code image when a trigger operation of the doctor for checking an entrance of the functional color code image is received;
when a trigger operation that the doctor modifies an entrance aiming at the central line is received, displaying the central line and the outline;
and when an adjusting instruction aiming at the displayed central line and the displayed outline, which is sent by the doctor through a terminal, is received, correspondingly adjusting the central line and the outline, returning to execute the modeling according to the adjusted result, generating the three-dimensional mesh of the blood vessel and performing the subsequent steps.
9. The method of claim 1, wherein the data correction user comprises a physician;
when a result of adjusting the center line and the contour returned by the data correction user through the terminal is received, modeling is performed according to the adjusted result, and generating the three-dimensional mesh of the blood vessel comprises:
when a result of adjusting the center line and the contour returned by the doctor through a terminal is received, modeling is carried out according to the adjusted result, and a three-dimensional grid of the blood vessel is generated;
after generating an image analysis report according to the determined blood flow characteristic value and the functional color code image and sending the image analysis report to a terminal used by a doctor, the method further comprises the following steps:
displaying an image analysis report viewing portal through a terminal used by the doctor;
and when a triggering operation of the doctor on the image analysis report viewing inlet is received, displaying the image analysis report.
10. A vascular medical image analysis processing apparatus, the apparatus comprising:
the image acquisition module is used for receiving a blood vessel medical image sent by a medical data system or imported by a doctor through a terminal;
the central line generation module is used for carrying out image quality detection on the blood vessel medical image and carrying out image processing on the blood vessel medical image after the quality detection is passed so as to generate a central line and a contour of a blood vessel in the blood vessel medical image;
the correction module is used for correcting the center line and the contour of the blood vessel loaded by the terminal used by the user through data;
the model generation module is used for modeling according to the adjusted result and generating the three-dimensional mesh of the blood vessel when receiving the result of adjusting the central line and the outline returned by the data correction user through the terminal;
the simulation module is used for performing fluid mechanics simulation processing according to the three-dimensional grid through cloud computing service, and performing simulation prediction to obtain a simulation result file comprising blood flow characteristic values of all points in the three-dimensional grid;
the simulation result processing module is used for generating a three-dimensional functional color code image according to the simulation result file and the three-dimensional grid;
and the report generating module is used for determining a blood flow characteristic value at the position of the blood vessel stenosis in the three-dimensional grid according to the simulation result file, generating an image analysis report according to the determined blood flow characteristic value and the functional color code image, and sending the image analysis report to a terminal used by a doctor.
11. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of any one of claims 1 to 9 when executing the computer program.
12. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 9.
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