Medical imaging evaluation and correction method and system based on digital twinning

Abstract

The application provides a medical imaging evaluation and correction method and system based on digital twinning, which identifies all imaging elements from an imaging light path of a medical imaging device, determines effective medical imaging elements among the imaging elements, constructs a digital twinning model matched with the medical imaging device, and makes the digital twinning model only related to the imaging light path of the device based on the imaging elements contributing to real imaging in the imaging light path, so that the structure of the digital twinning model is simplified, the construction complexity of the digital twinning model is reduced, and the subsequent imaging evaluation and correction process is facilitated to accurately adjust the twinning body. In addition, the digital twinning model is corrected according to the historical imaging log of the device to ensure that the digital twinning model is highly matched with the device. Then, the imaging link of the model is evaluated on a virtual level to determine the components that need to be corrected in the device, thereby effectively reducing the difficulty of imaging correction and accurately correcting in the imaging process of different objects.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of imaging processing, in particular to a medical imaging evaluation and correction method and system based on digital twinning. BACKGROUND

[0002] The internal structure of a medical imaging device is complex, and the device needs to be debugged when performing medical imaging to adjust the parameters of different components inside the device. The number of internal components of a medical imaging device is large, and different components have complex relationships with each other, making the debugging of the device complicated and increasing the difficulty of debugging the device. In addition, the imaging light paths of different medical imaging devices are not the same, and it is not possible to perform unified and patterned debugging on different medical imaging devices, and the same device and different imaging objects also need to be re-debugged, increasing the workload of debugging the device. SUMMARY

[0003] In view of the defects of the prior art, the present application provides a medical imaging evaluation and correction method and system based on digital twinning, which identifies all imaging elements from the imaging light path of a medical imaging device and determines effective medical imaging elements, thereby constructing a digital twinning model matched with the medical imaging device. In this way, the imaging elements that contribute to real imaging in the imaging light path are used as a reference, so that the digital twinning model constructed is only related to the imaging light path of the device, simplifying the structure of the digital twinning model and reducing its complexity of construction, and it is also convenient to accurately adjust the twinning body in the subsequent imaging evaluation and correction process; the digital twinning model is also corrected according to the historical imaging log of the device to ensure that it is highly matched with the device; then an imaging excitation signal is generated according to a real imaging object and input into the digital twinning model to obtain simulated imaging data, thereby evaluating the imaging link of the model at the virtual level, and then determining the components that need to be corrected in the device, effectively reducing the difficulty of imaging correction and accurately correcting in the imaging process of different objects.

[0004] The present application provides a medical imaging evaluation and correction method based on digital twinning, comprising the following steps:

[0005] Step S1, identifying the imaging light path of the medical imaging device to obtain all imaging elements; determining effective medical imaging elements from all imaging elements, and constructing a digital twinning model matched with the medical imaging device according to all effective imaging elements;

[0006] Step S2, correcting the digital twinning model according to the historical imaging log of the medical imaging device; generating an imaging excitation signal according to the imaging object of the medical imaging device; and inputting the imaging excitation signal into the digital twinning model to obtain corresponding simulated imaging data;

[0007] Step S3, analyzing the simulation imaging data to obtain an imaging link evaluation result of the digital twin model; and correcting an imaging process of the medical imaging device according to the imaging link evaluation result.

[0008] Further, in the step S1, an imaging light path of the medical imaging device is identified to obtain all imaging elements; effective imaging elements are determined from all medical imaging elements, and a digital twin model matched with the medical imaging device is constructed according to all effective imaging elements, including:

[0009] The light rays of the imaging light path of the medical imaging device are traced to obtain a light ray transmission track of the imaging light path; the light intensity of the light ray transmission track is identified and processed to determine an effective imaging light ray transmission track existing in the light ray transmission track, and all light ray modulation components existing on the effective imaging light ray transmission track are determined as the imaging elements;

[0010] If the light ray modulation component changes the light ray parameters of the effective imaging light ray, the light ray modulation component is determined as an effective imaging element;

[0011] According to the relative position relationship of all effective imaging elements in the effective imaging light ray transmission track, a digital twin model matched with the medical imaging device is constructed.

[0012] Further, in the step S2, the digital twin model is corrected according to the historical imaging log of the medical imaging device; an imaging excitation signal is generated according to the imaging object of the medical imaging device; and the imaging excitation signal is input into the digital twin model to obtain corresponding simulation imaging data, including:

[0013] The imaging component parameter setting information corresponding to each of a plurality of historical imaging operations is extracted from the historical imaging log of the medical imaging device, and a twin model excitation signal is generated according to the imaging component parameter setting information;

[0014] The effective imaging elements of the digital twin model are corrected in terms of light ray modulation parameters according to the image quality characteristics of the simulation image corresponding to the output of the digital twin model under the twin model excitation signal;

[0015] An imaging excitation light source signal is generated according to the multi-dimensional physical form characteristics of the imaging object of the medical imaging device; and the imaging excitation light source signal is input into the digital twin model to obtain corresponding simulation imaging data.

[0016] Further, in the step S3, the simulation imaging data is analyzed to obtain an imaging link evaluation result of the digital twin model; and an imaging process correction is performed on the medical imaging device according to the imaging link evaluation result, including:

[0017] The simulation imaging data is analyzed to obtain aberration information and distortion information of a simulation image generated by the digital twin model;

[0018] The imaging evaluation result of each effective imaging element of the digital twin model is determined according to the aberration information and the distortion information;

[0019] According to the imaging evaluation result, a light modulation parameter correction is performed on a light modulation component corresponding to the effective imaging element of the medical imaging device.

[0020] The application further provides a medical imaging evaluation and correction system based on a digital twin, including:

[0021] An imaging light path recognition module is configured to recognize an imaging light path of the medical imaging device to obtain all imaging elements;

[0022] A digital twin model construction module is configured to determine effective medical imaging elements from all imaging elements, and construct a digital twin model matched with the medical imaging device according to all effective imaging elements;

[0023] A digital twin model correction module is configured to correct the digital twin model according to a historical imaging log of the medical imaging device;

[0024] A simulation imaging data generation module is configured to generate an imaging excitation signal according to an imaging object of the medical imaging device, and input the imaging excitation signal into the digital twin model to obtain corresponding simulation imaging data;

[0025] An imaging evaluation and correction module is configured to analyze the simulation imaging data to obtain an imaging link evaluation result of the digital twin model, and perform an imaging process correction on the medical imaging device according to the imaging link evaluation result.

[0026] Further, the imaging light path recognition module is configured to recognize an imaging light path of the medical imaging device to obtain all imaging elements, including:

[0027] The imaging light path of the medical imaging device is traced to obtain a light transmission trajectory of the imaging light path; the light transmission trajectory is subjected to light intensity recognition processing to determine an effective imaging light transmission trajectory existing in the light transmission trajectory, and determine all light modulation components existing on the effective imaging light transmission trajectory, which are taken as the imaging elements.

[0028] If the light modulation component causes a change in the light parameters of the effective imaging light, the light modulation component is determined as an effective imaging element;

[0029] The digital twin model construction module is configured to determine effective medical imaging elements from all imaging elements, and construct a digital twin model matched with the medical imaging device according to all effective imaging elements, including:

[0030] The digital twin model is constructed according to the relative positional relationship of all effective imaging elements in the effective imaging light transmission trajectory.

[0031] Further, the digital twin model correction module is configured to correct the digital twin model according to the historical imaging log of the medical imaging device, including:

[0032] Extracting imaging component parameter setting information corresponding to each of a plurality of historical imaging operations from the historical imaging log of the medical imaging device, and generating a twin model excitation signal according to the imaging component parameter setting information;

[0033] According to the image quality characteristics of the simulation image corresponding to the output of the digital twin model under the twin model excitation signal, the effective imaging elements of the digital twin model are corrected in terms of light modulation parameters;

[0034] The simulation imaging data generation module is configured to generate an imaging excitation signal according to the imaging object of the medical imaging device, and input the imaging excitation signal into the digital twin model to obtain corresponding simulation imaging data, including:

[0035] According to the multi-dimensional physical form characteristics of the imaging object of the medical imaging device, an imaging excitation light source signal is generated, and the imaging excitation light source signal is input into the digital twin model to obtain corresponding simulation imaging data.

[0036] Further, the imaging evaluation and correction module is configured to analyze the simulation imaging data to obtain an imaging link evaluation result of the digital twin model, and correct the imaging process of the medical imaging device according to the imaging link evaluation result, including:

[0037] The simulation imaging data is analyzed in terms of imaging aberration and imaging distortion to obtain aberration information and distortion information of the simulation image generated by the digital twin model;

[0038] According to the aberration information and the distortion information, the imaging evaluation result of each effective imaging element of the digital twin model is determined;

[0039] According to the imaging evaluation result, the light modulation parameter of the light modulation component corresponding to the effective imaging element of the medical imaging device is corrected.

[0040] Compared with the prior art, the medical imaging evaluation and correction method and system based on digital twinning identify all imaging elements from the imaging light path of the medical imaging device, determine the effective medical imaging elements, and construct a digital twinning model matched with the medical imaging device. Thus, the digital twinning model is constructed based on the imaging elements that contribute to real imaging in the imaging light path, so that the digital twinning model is only related to the imaging light path of the device, simplifying the structure of the digital twinning model and reducing the complexity of its construction, and facilitating subsequent imaging evaluation and correction process to accurately adjust the twinning body. In addition, the digital twinning model is corrected according to the historical imaging log of the device, to ensure that it is highly matched with the device. Then, the imaging excitation signal is generated according to the real imaging object and input into the digital twinning model to obtain simulated imaging data, so as to evaluate the imaging link of the model at the virtual level, and then determine the components that need to be corrected in the device, effectively reducing the difficulty of imaging correction and accurately correcting in the imaging process of different objects.

[0041] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. The objects and other advantages of the present application can be realized and achieved by the structure particularly pointed out in the written description, claims, and drawings.

[0042] The technical solutions of the present application will be further described in detail below with the help of the drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can also obtain other drawings according to these drawings without creative labor.

[0044] Figure 1 The flowchart of the medical imaging evaluation and correction method based on digital twinning provided by the present application.

[0045] Figure 2 The structure diagram of the medical imaging evaluation and correction system based on digital twinning provided by the present application. DETAILED DESCRIPTION

[0046] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of the present application.

[0047] With reference to Figure 1 A flowchart of a medical imaging evaluation and correction method based on digital twinning provided by an embodiment of the present application is shown. The medical imaging evaluation and correction method based on digital twinning comprises the following steps:

[0048] Step S1, identifying the imaging light path of the medical imaging device to obtain all imaging elements; determining effective medical imaging elements from all imaging elements, and constructing a digital twinning model matched with the medical imaging device according to all effective imaging elements;

[0049] Step S2, correcting the digital twinning model according to the historical imaging log of the medical imaging device; generating an imaging excitation signal according to the imaging object of the medical imaging device; and inputting the imaging excitation signal into the digital twinning model to obtain corresponding simulated imaging data;

[0050] Step S3, analyzing the simulated imaging data to obtain an imaging link evaluation result of the digital twinning model; and correcting the imaging process of the medical imaging device according to the imaging link evaluation result.

[0051] The beneficial effects of the above technical solution are as follows: the medical imaging evaluation and correction method based on digital twinning identifies all imaging elements from the imaging light path of the medical imaging device, determines effective medical imaging elements therefrom, and constructs a digital twinning model matched with the medical imaging device. In this way, the digital twinning model is constructed based on the imaging elements that contribute to real imaging in the imaging light path, so that the digital twinning model is only related to the imaging light path of the device, simplifying the structure of the digital twinning model and reducing the complexity of its construction, and it is also convenient to accurately adjust the twinning body in the subsequent imaging evaluation and correction process. The digital twinning model is also corrected according to the historical imaging log of the device to ensure that it is highly matched with the device. Then, the imaging excitation signal is generated according to the real imaging object and input into the digital twinning model to obtain the simulated imaging data, so that the imaging link evaluation of the model is performed at the virtual level, and then the components that need to be corrected in the device are determined, effectively reducing the difficulty of imaging correction and accurately correcting in the imaging process of different objects.

[0052] Preferably, in the step S1, the imaging light path of the medical imaging device is identified to obtain all imaging elements; effective imaging elements are determined from all medical imaging elements, and a digital twin model matched with the medical imaging device is constructed according to all effective imaging elements, including:

[0053] The light rays of the imaging light path of the medical imaging device are traced to obtain the light ray transmission trajectory of the imaging light path; the light intensity of the light ray transmission trajectory is identified and processed to determine the effective imaging light ray transmission trajectory existing in the light ray transmission trajectory, and all light ray modulation components existing on the effective imaging light ray transmission trajectory are determined as the imaging elements;

[0054] If the light ray modulation component changes the light ray parameters of the effective imaging light ray, the light ray modulation component is determined as an effective imaging element;

[0055] According to the relative positional relationship of all effective imaging elements in the effective imaging light ray transmission trajectory, a digital twin model matched with the medical imaging device is constructed.

[0056] The beneficial effects of the above technical solutions are: the internal part of the medical imaging device includes different types of imaging components such as lenses, mirrors, polarizers, glass (half glass or quarter glass, etc.), diaphragms and filters, etc. Each imaging component has a different contribution to the substantial imaging of the medical imaging device. Some imaging components have a modulating effect on the imaging light, that is, they have a modulating effect on the intensity distribution, wavelength, polarization, etc. of the imaging light. The other part of the imaging components has no modulating effect on the imaging light. Only the imaging components with the modulating effect need to be corrected during the imaging correction process of the medical imaging device. This can reduce the number of imaging components to be corrected and improve the accuracy of device correction. In actual operation, the light ray tracing of the imaging light path of the medical imaging device is performed first to obtain the light ray transmission trajectory of the imaging light path. Then, the trajectory part with light intensity greater than or equal to the preset intensity threshold is extracted from the light ray transmission trajectory. The extracted trajectory part is used as the effective imaging light transmission trajectory. The effective imaging light transmission trajectory can be understood as the trajectory of the imaging light propagation corresponding to the current imaging object of the medical imaging device. This can effectively distinguish the light ray transmission trajectory and reduce the interference of the imaging light corresponding to other non-imaging objects. Then, all light ray modulation components existing in the effective imaging light transmission trajectory are determined, which are marked as imaging elements. Then, it is judged whether each light ray modulation component forms a modulating change on the intensity distribution, wavelength, polarization, etc. of the effective imaging light. If so, the corresponding light ray modulation component is determined as an effective imaging element. This can only map the effective imaging elements in the medical imaging device that have a modulating contribution to the effective imaging light to the digital twin model, that is, form a twin body corresponding to the effective imaging element in the digital twin model. Then, according to the relative positional relationship of all effective imaging elements in the effective imaging light transmission trajectory, a digital twin model matched with the medical imaging device is constructed, thereby reducing the construction difficulty of the digital twin model and ensuring that the digital twin model can accurately reflect the imaging process and function of the medical imaging device.

[0057] Preferably, in the step S2, the digital twin model is corrected according to the historical imaging log of the medical imaging device; an imaging excitation signal is generated according to the imaging object of the medical imaging device; and the imaging excitation signal is input into the digital twin model to obtain corresponding simulated imaging data, including:

[0058] The imaging component parameter setting information corresponding to each of the historical imaging operations is extracted from the historical imaging log of the medical imaging device, and a twin model excitation signal is generated according to the imaging component parameter setting information;

[0059] The effective imaging elements of the digital twin model are corrected according to the image quality characteristics of the simulated image corresponding to the output of the digital twin model under the twin model excitation signal.

[0060] According to the multi-dimensional physical form characteristics of the imaging object of the medical imaging device, an imaging excitation light source signal is generated; and the imaging excitation light source signal is input into the digital twin model to obtain corresponding simulation imaging data.

[0061] The above technical solution has the following beneficial effects: the imaging component parameter setting information corresponding to a plurality of historical imaging operations is extracted from the historical imaging log of the medical imaging device, and the plurality of historical imaging operations can be, but are not limited to, historical imaging operations corresponding to higher imaging quality in the medical imaging device. According to the imaging component parameter setting information corresponding to the historical imaging operation, a twin model excitation signal is generated and input into the digital twin model, so that the twin corresponding to the digital twin model can obtain better excitation. According to the image quality characteristics of the simulation image corresponding to the output of the digital twin model under the twin model excitation signal, the light modulation parameter of the twin corresponding to the effective imaging element of the digital twin model is corrected, so that the twin can modulate the imaging light most effectively. Finally, the imaging excitation light source signal is generated and input into the digital twin model based on the shape and original light intensity distribution of the imaging object of the medical imaging device that needs to be imaged and other multi-dimensional physical form characteristics, and then the simulation imaging data corresponding to the digital twin model under the imaging excitation light source signal is obtained, which is convenient for subsequent virtual level imaging quality evaluation of the medical imaging device based on the simulation imaging data.

[0062] Preferably, in the step S3, the simulation imaging data is analyzed to obtain an imaging link evaluation result of the digital twin model; and according to the imaging link evaluation result, the medical imaging device is corrected in the imaging process, including:

[0063] The simulation imaging data is analyzed for imaging aberration and imaging distortion to obtain aberration information and distortion information of the simulation image generated by the digital twin model;

[0064] According to the aberration information and the distortion information, an imaging evaluation result of each effective imaging element of the digital twin model is determined;

[0065] According to the imaging evaluation result, the light modulation component corresponding to the effective imaging element of the medical imaging device is corrected in the light modulation parameter.

[0066] The beneficial effects of the above technical solutions are: in actual work, the imaging aberration and imaging distortion of the simulation imaging data are analyzed to obtain the aberration information and distortion information of the simulation image generated by the digital twin model, and then the modulation quality (i.e., the imaging evaluation result) of the imaging light corresponding to each twin in the digital twin model is determined, and then the imaging evaluation result is used to correct the light modulation parameters of the light modulation components corresponding to the twins in the digital twin model, so that the medical imaging device can efficiently image the imaging object and reduce imaging aberration and distortion.

[0067] Reference Figure 2 The structure diagram of the medical imaging evaluation and correction system based on digital twinning provided by the embodiment of the application is provided. The medical imaging evaluation and correction system based on digital twinning comprises:

[0068] An imaging light path recognition module is configured to recognize the imaging light path of the medical imaging device to obtain all imaging elements.

[0069] A digital twin model construction module is configured to determine effective medical imaging elements from all imaging elements, and construct a digital twin model matched with the medical imaging device according to all effective imaging elements.

[0070] A digital twin model correction module is configured to correct the digital twin model according to the historical imaging log of the medical imaging device.

[0071] A simulation imaging data generation module is configured to generate an imaging excitation signal according to the imaging object of the medical imaging device, and input the imaging excitation signal into the digital twin model to obtain corresponding simulation imaging data.

[0072] An imaging evaluation and correction module is configured to analyze the simulation imaging data to obtain the imaging link evaluation result of the digital twin model, and correct the imaging process of the medical imaging device according to the imaging link evaluation result.

[0073] The beneficial effects of the above technical solutions are: the medical imaging evaluation and correction system based on digital twinning identifies all imaging elements from the imaging light path of the medical imaging device and determines the effective medical imaging elements, thereby constructing a digital twinning model matched with the medical imaging device. In this way, the imaging elements contributing to real imaging in the imaging light path are used as the benchmark, so that the constructed digital twinning model is only related to the imaging light path of the device, simplifying the structure of the digital twinning model and reducing its construction complexity, and it is also convenient for subsequent imaging evaluation and correction process to accurately adjust the twinning body. In addition, the digital twinning model is corrected according to the historical imaging log of the device to ensure high matching between the digital twinning model and the device. Then, the imaging excitation signal is generated according to the real imaging object and input into the digital twinning model to obtain simulated imaging data, thereby evaluating the imaging link of the model at the virtual level, and then determining the components that need to be corrected in the device, effectively reducing the difficulty of imaging correction and accurately correcting in the imaging process of different objects.

[0074] Preferably, the imaging light path identification module is configured to identify the imaging light path of the medical imaging device to obtain all imaging elements, including:

[0075] The light ray tracing is performed on the imaging light path of the medical imaging device to obtain the light ray transmission trajectory of the imaging light path. The light intensity identification processing is performed on the light ray transmission trajectory to determine the effective imaging light ray transmission trajectory existing in the light ray transmission trajectory, and determine all light ray modulation components existing on the effective imaging light ray transmission trajectory, which are used as the imaging elements.

[0076] If the light ray modulation component changes the light ray parameters of the effective imaging light ray, the light ray modulation component is determined as the effective imaging element.

[0077] The digital twinning model construction module is configured to determine the effective medical imaging elements from all imaging elements, and construct a digital twinning model matched with the medical imaging device according to all effective imaging elements, including:

[0078] The digital twinning model matched with the medical imaging device is constructed according to the relative position relationship of all effective imaging elements in the effective imaging light ray transmission trajectory.

[0079] The beneficial effects of the above technical solutions are: the internal part of the medical imaging device includes different types of imaging components such as lenses, mirrors, polarizers, glass (half glass or quarter glass, etc.), diaphragms and filters, etc. Each imaging component has a different contribution to the substantial imaging of the medical imaging device. Some of the imaging components have a modulating effect on the imaging light, that is, they have a modulating effect on the intensity distribution, wavelength, polarization, etc. of the imaging light. The other part of the imaging components has no modulating effect on the imaging light. Only the imaging components with the modulating effect need to be corrected during the imaging correction process of the medical imaging device. This can reduce the number of imaging components to be corrected and improve the accuracy of device correction. In actual operation, the light ray tracing of the imaging light path of the medical imaging device is first performed to obtain the light ray transmission trajectory of the imaging light path. Then, the trajectory part with a light intensity greater than or equal to a preset intensity threshold is extracted from the light ray transmission trajectory. The extracted trajectory part is used as an effective imaging light transmission trajectory. The effective imaging light transmission trajectory can be understood as the trajectory of the imaging light propagation corresponding to the current imaging object of the medical imaging device. This can effectively distinguish the light ray transmission trajectory and reduce the interference of the imaging light corresponding to other non-imaging objects. Then, all light ray modulation components existing in the effective imaging light transmission trajectory are determined, which are marked as imaging elements. Then, it is judged whether each light ray modulation component forms a modulating change on the intensity distribution, wavelength, polarization, etc. of the effective imaging light. If so, the corresponding light ray modulation component is determined as an effective imaging element. This can only map the effective imaging elements in the medical imaging device that have a modulating contribution to the effective imaging light to the digital twin model, that is, form a twin corresponding to the effective imaging element in the digital twin model. Then, according to the relative positional relationship of all effective imaging elements in the effective imaging light transmission trajectory, a digital twin model matched with the medical imaging device is constructed, thereby reducing the construction difficulty of the digital twin model and ensuring that the digital twin model can accurately reflect the imaging process and function of the medical imaging device.

[0080] Preferably, the digital twin model correction module is configured to correct the digital twin model according to historical imaging logs of the medical imaging device, including:

[0081] extracting imaging component parameter setting information corresponding to each of a plurality of historical imaging operations from the historical imaging logs of the medical imaging device, and generating a twin model excitation signal according to the imaging component parameter setting information;

[0082] correcting the light ray modulation parameters of the effective imaging elements of the digital twin model according to the image quality characteristics of the simulation image corresponding to the output of the digital twin model under the twin model excitation signal;

[0083] The simulation imaging data generation module is configured to generate an imaging excitation signal according to an imaging object of the medical imaging device; and input the imaging excitation signal into the digital twin model to obtain corresponding simulation imaging data, including:

[0084] According to the multi-dimensional physical form features of the imaging object of the medical imaging device, an imaging excitation light source signal is generated; and the imaging excitation light source signal is input into the digital twin model to obtain corresponding simulation imaging data.

[0085] The above technical solution has the following beneficial effects: a plurality of historical imaging operation corresponding imaging component parameter setting information is extracted from the historical imaging log of the medical imaging device, and the plurality of historical imaging operation can be, but is not limited to, historical imaging operation corresponding to higher imaging quality in the medical imaging device. According to the historical imaging operation corresponding imaging component parameter setting information, a twin model excitation signal is generated and input into the digital twin model, so that the corresponding twin body of the digital twin model can obtain better excitation. According to the image quality features of the simulation image corresponding output by the digital twin model under the twin model excitation signal, the light modulation parameter of the effective imaging element corresponding to the digital twin model is corrected, so that the twin body can modulate the imaging light most effectively. Finally, the shape and original light intensity distribution of the imaging object of the medical imaging device which needs to be imaged and other multi-dimensional physical form features are taken as the benchmark to generate an imaging excitation light source signal and input it into the digital twin model, and then the simulation imaging data corresponding to the digital twin model under the imaging excitation light source signal is obtained, which is convenient for subsequent virtual level imaging quality evaluation of the medical imaging device according to the simulation imaging data.

[0086] Preferably, the imaging evaluation and correction module is configured to analyze the simulation imaging data to obtain an imaging link evaluation result of the digital twin model; and perform imaging process correction on the medical imaging device according to the imaging link evaluation result, including:

[0087] Perform imaging aberration and imaging distortion analysis on the simulation imaging data to obtain aberration information and distortion information of the simulation image generated by the digital twin model;

[0088] According to the aberration information and the distortion information, determine the imaging evaluation result of each effective imaging element of the digital twin model;

[0089] According to the imaging evaluation result, perform light modulation parameter correction on the light modulation component corresponding to the effective imaging element of the medical imaging device.

[0090] The beneficial effects of the above technical solutions are: in actual work, the imaging aberration and imaging distortion of the simulation imaging data are analyzed to obtain the aberration information and distortion information of the simulation image generated by the digital twin model, and then the modulation quality (i.e., the imaging evaluation result) of the imaging light corresponding to each twin in the digital twin model is determined, and then the imaging evaluation result is used to correct the light modulation parameters of the light modulation components corresponding to the twins in the medical imaging device and the digital twin model, so that the medical imaging device can efficiently image the imaging object and reduce the imaging aberration and distortion.

[0091] From the above embodiment, it can be seen that the medical imaging evaluation and correction method and system based on digital twinning identify all imaging elements from the imaging light path of the medical imaging device and determine the effective medical imaging elements, thereby constructing a digital twin model matched with the medical imaging device. In this way, the imaging elements contributing to real imaging in the imaging light path are used as the benchmark, so that the constructed digital twin model is only related to the imaging light path of the device, simplifying the structure of the digital twin model and reducing its complexity of construction, and also facilitating subsequent imaging evaluation and correction process to accurately adjust the twins. Also, according to the historical imaging log of the device, the digital twin model is corrected to ensure high matching between the device and the digital twin model. Then, the imaging excitation signal is generated according to the real imaging object and input into the digital twin model to obtain simulation imaging data, so as to evaluate the imaging link of the model in the virtual level, and then determine the components that need to be corrected in the device, effectively reducing the difficulty of imaging correction and accurately correcting in the imaging process of different objects.

[0092] Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application also intends to include these modifications and variations.

Claims

1. A method for medical imaging evaluation and correction based on digital twinning, characterized in that, The method comprises the following steps: Step S1, identifying the imaging light path of the medical imaging device to obtain all imaging elements; determining effective medical imaging elements from all imaging elements, and constructing a digital twin model matched with the medical imaging device according to all effective imaging elements; Step S2, correcting the digital twin model according to the historical imaging log of the medical imaging device; generating an imaging excitation signal according to the imaging object of the medical imaging device; and inputting the imaging excitation signal into the digital twin model to obtain corresponding simulated imaging data; Step S3, analyzing the simulated imaging data to obtain an imaging link evaluation result of the digital twin model; and correcting the imaging process of the medical imaging device according to the imaging link evaluation result; In the step S1, the imaging light path of the medical imaging device is identified to obtain all imaging elements; effective imaging elements are determined from all medical imaging elements, and a digital twin model matched with the medical imaging device is constructed according to all effective imaging elements, which comprises: ray tracing is performed on the imaging light path of the medical imaging device to obtain the light transmission trajectory of the imaging light path; light intensity identification processing is performed on the light transmission trajectory to determine the effective imaging light transmission trajectory existing in the light transmission trajectory, and all light modulation components existing on the effective imaging light transmission trajectory are determined as the imaging elements; if the light modulation component changes the light parameters of the effective imaging light, the light modulation component is determined as an effective imaging element; a digital twin model matched with the medical imaging device is constructed according to the relative position relationship of all effective imaging elements in the effective imaging light transmission trajectory.

2. The medical imaging evaluation and correction method based on digital twin according to claim 1, wherein: in the step S2, the digital twin model is corrected according to the historical imaging log of the medical imaging device; and an imaging excitation signal is generated according to the imaging object of the medical imaging device; the imaging excitation signal is input into the digital twin model to obtain corresponding simulated imaging data, which comprises: extracting imaging component parameter setting information corresponding to each of a plurality of historical imaging operations from the historical imaging log of the medical imaging device, and generating a twin model excitation signal according to the imaging component parameter setting information; correcting the light modulation parameters of the effective imaging elements of the digital twin model according to the image quality features of the simulated images corresponding output by the digital twin model under the twin model excitation signal; generating an imaging excitation light source signal according to the multi-dimensional physical form features of the imaging object of the medical imaging device; and inputting the imaging excitation light source signal into the digital twin model to obtain corresponding simulated imaging data.

3. The medical imaging evaluation and correction method based on digital twin according to claim 1, wherein: in the step S3, the simulated imaging data is analyzed to obtain an imaging link evaluation result of the digital twin model; According to the imaging link evaluation result, the medical imaging device is corrected in an imaging process, including: The imaging simulation data is analyzed to obtain aberration information and distortion information of the simulation image generated by the digital twin model; According to the aberration information and the distortion information, the imaging evaluation result of each effective imaging element of the digital twin model is determined; According to the imaging evaluation result, the light modulation parameter of the light modulation component corresponding to the effective imaging element of the medical imaging device is corrected.

4. A digital-twin-based medical imaging evaluation and correction system, characterized in that, Including: An imaging light path recognition module is configured to recognize the imaging light path of the medical imaging device to obtain all imaging elements; A digital twin model construction module is configured to determine effective medical imaging elements from all imaging elements, and construct a digital twin model matched with the medical imaging device according to all effective imaging elements; A digital twin model correction module is configured to correct the digital twin model according to the historical imaging log of the medical imaging device; An imaging simulation data generation module is configured to generate an imaging excitation signal according to the imaging object of the medical imaging device, and input the imaging excitation signal into the digital twin model to obtain corresponding simulation imaging data; An imaging evaluation and correction module is configured to analyze the simulation imaging data to obtain the imaging link evaluation result of the digital twin model, and correct the medical imaging device in an imaging process according to the imaging link evaluation result; The imaging light path recognition module is configured to recognize the imaging light path of the medical imaging device to obtain all imaging elements, including: The light rays of the imaging light path of the medical imaging device are traced to obtain the light transmission trajectory of the imaging light path, the light intensity of the light transmission trajectory is identified and processed to determine the effective imaging light transmission trajectory existing in the light transmission trajectory, and all light modulation components existing on the effective imaging light transmission trajectory are determined as the imaging elements; If the light modulation component changes the light ray parameter of the effective imaging light, the light modulation component is determined as the effective imaging element; The digital twin model construction module is configured to determine effective medical imaging elements from all imaging elements, and construct a digital twin model matched with the medical imaging device according to all effective imaging elements, including: According to the relative position relationship of all effective imaging elements in the effective imaging light transmission trajectory, a digital twin model matched with the medical imaging device is constructed.

5. The medical imaging evaluation and correction system based on digital twin according to claim 4, wherein: The digital twin model correction module is configured to correct the digital twin model according to the historical imaging log of the medical imaging device, including: From the historical imaging log of the medical imaging device, a plurality of historical imaging operation corresponding imaging component parameter setting information is extracted, and a twin model excitation signal is generated according to the imaging component parameter setting information; According to the image quality characteristics of the simulation image corresponding to the output of the digital twin model under the twin model excitation signal, the light modulation parameter of the effective imaging element of the digital twin model is corrected; The simulation imaging data generation module is configured to generate an imaging excitation signal according to an imaging object of the medical imaging device; and input the imaging excitation signal into the digital twin model to obtain corresponding simulation imaging data, including: According to the multi-dimensional physical form characteristics of the imaging object of the medical imaging device, an imaging excitation light source signal is generated; and the imaging excitation light source signal is input into the digital twin model to obtain corresponding simulation imaging data.

6. The medical imaging evaluation and correction system based on digital twin according to claim 4, wherein: The imaging evaluation and correction module is configured to analyze the simulation imaging data to obtain an imaging link evaluation result of the digital twin model; According to the imaging link evaluation result, the medical imaging device is corrected in the imaging process, including: The simulation imaging data is analyzed for imaging aberration and imaging distortion to obtain aberration information and distortion information of the simulation image generated by the digital twin model; According to the aberration information and the distortion information, an imaging evaluation result of each effective imaging element of the digital twin model is determined; According to the imaging evaluation result, the light modulation parameter of the light modulation component corresponding to the medical imaging device and the effective imaging element is corrected.

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