Vascular injury assessment model construction method, system and device, and medium

Abstract

The invention belongs to the technical field of vascular injury assessment, and particularly relates to a vascular injury assessment model construction method, system and device and a medium, and the method comprises the steps: obtaining clinical image data of a patient, and reconstructing a three-dimensional vascular model of the patient according to the clinical image data; extracting corresponding morphological parameters based on the three-dimensional blood vessel model, and calculating corresponding biomechanical parameters based on the three-dimensional blood vessel model; calculating characteristic parameters of vascular injury according to the biomechanical parameters, and constructing a vascular injury evaluation model according to the characteristic parameters and the morphological parameters, so as to predict the vascular injury degree of the patient by using the vascular injury evaluation model. According to the method, biomechanical calculation is performed based on the clinical routine examination image, so that a new mechanical parameter is provided, the vascular injury evaluation model is constructed in combination with the key morphological parameters of the blood vessel, the vascular injury degree of the patient is predicted by using the model, and the clinical application requirement is met.

Description

Technical Field

[0001] The present invention belongs to the technical field of vascular injury assessment, and particularly relates to a method, system, device, and medium for constructing a vascular injury assessment model. Background Art

[0002] Clinical studies have shown that hypertension, race, gender, age, genetic factors, and connective tissue diseases are risk factors for vascular injury. However, there is still a lack of effective vascular injury assessment methods that can be clinically applied. With the progress of medical imaging technology, it has become possible to assess the state of vascular injury. Commonly used clinical vascular disease diagnostic imaging techniques include CT angiography, transesophageal echocardiography, angiography, magnetic resonance, and nuclear medicine imaging. However, CT angiography, transesophageal echocardiography, and angiography can only visualize the structural features of blood vessels and cannot present the wall stress and blood flow state, thus unable to achieve functional assessment. Although magnetic resonance imaging can visualize blood flow characteristics, magnetic resonance angiography takes a long time and has high requirements for patients, so it cannot be widely applied clinically at present. Although the high uptake of radionuclides in nuclear medicine imaging can be used as an indicator to judge the degree of inflammation activity for assessing vascular injury, the cost of nuclear medicine imaging is high and the image resolution is low, so it cannot be widely adopted clinically.

[0003] Therefore, there is still a lack of method strategies for effectively assessing vascular injury based on vascular structure images. Summary of the Invention

[0004] In view of the above-mentioned disadvantages of the prior art, the purpose of the present invention is to propose a method that can obtain wall stress and blood flow state in blood vessels based on vascular structure images such as CT angiography, transesophageal ultrasound, angiography, etc., and combined with biomechanical calculations to evaluate the degree of vascular injury.

[0005] To achieve the above purpose and other related purposes, the present invention provides a method for constructing a vascular injury assessment model, including: obtaining clinical image data of a patient and reconstructing a three-dimensional vascular model of the patient based on it; extracting corresponding morphological parameters based on the three-dimensional vascular model, and calculating corresponding biomechanical parameters based on the three-dimensional vascular model; calculating characteristic parameters of vascular injury according to the biomechanical parameters, and constructing a vascular injury assessment model based on the characteristic parameters and the morphological parameters to predict the degree of vascular injury of the patient using the vascular injury assessment model.

[0006] According to a specific embodiment of the present invention, the steps of reconstructing a three-dimensional vascular model of a patient include: segmenting a region of interest from the clinical imaging data and reconstructing a three-dimensional vascular model based thereon; exporting the reconstructed three-dimensional vascular model in the form of triangular patches and performing smoothing and cutting processes; wherein the clinical imaging data is structural imaging data of blood vessels.

[0007] According to a specific embodiment of the present invention, when the reconstructed three-dimensional vascular model is an aortic model, the aortic model includes the aortic trunk and main branch blood vessels; wherein the main branch blood vessels include main branch blood vessels in the aortic arch and main branch blood vessels in the abdomen.

[0008] According to a specific embodiment of the present invention, the steps of extracting corresponding morphological parameters based on the three-dimensional vascular model include: extracting a vascular centerline from the three-dimensional vascular model and interpolating the vascular centerline at intervals of the layer thickness of the imaging section; calculating morphological parameters of the blood vessel along the vascular centerline according to the interpolated vascular centerline.

[0009] According to a specific embodiment of the present invention, the morphological parameters are related to the lesions of the patient.

[0010] According to a specific embodiment of the present invention, the morphological parameters include the volume of the blood vessel, and calculating morphological parameters of the blood vessel along the vascular centerline according to the interpolated vascular centerline further includes: calculating the volumes of different sections of the blood vessel based on the division of different sections of the blood vessel by clinically critical anatomical positions.

[0011] According to a specific embodiment of the present invention, the morphological parameters at least include: cross-sectional area, perimeter, major axis, minor axis, mean diameter, and equivalent diameter.

[0012] According to a specific embodiment of the present invention, the steps of calculating corresponding biomechanical parameters based on the three-dimensional vascular model include: performing mesh discretization processing on the three-dimensional vascular model; performing transient and / or steady-state biomechanical calculations according to the processed three-dimensional vascular model to obtain corresponding biomechanical parameters.

[0013] According to a specific embodiment of the present invention, the steps of performing transient and / or steady-state biomechanical calculations according to the processed three-dimensional vascular model to obtain corresponding biomechanical parameters include: before performing biomechanical calculations, discretizing each cardiac cycle into multiple time steps, and each time step is related to the heart rate and the number of time steps of the patient; performing biomechanical calculations for multiple cycles and obtaining corresponding biomechanical parameters based on the calculation results of the last cycle.

[0014] According to a specific embodiment of the present invention, when the biomechanical calculation adopts hemodynamic calculation, during the calculation process, the boundary conditions of the blood are preset according to the morphological and structural characteristics of the blood vessels through which the blood flows, and the physical properties of the blood are preset; wherein, the boundary conditions include velocity boundary conditions and pressure boundary conditions.

[0015] According to a specific embodiment of the present invention, when the biomechanical calculation adopts fluid-structure interaction calculation, during the calculation process, the boundary conditions of the blood are preset according to the morphological and structural characteristics of the blood vessels through which the blood flows, and the physical properties of the blood and the wall properties of the blood vessels through which the blood flows are preset; wherein, the boundary conditions include velocity boundary conditions and pressure boundary conditions.

[0016] According to a specific embodiment of the present invention, the biomechanical parameters at least include blood flow velocity, blood flow pressure, and wall shear stress.

[0017] According to a specific embodiment of the present invention, the steps of calculating the characteristic parameters of blood vessel damage according to the biomechanical parameters include: calculating the corresponding resultant force according to the wall shear stress and the stress of the blood flow pressure in the axial direction, and using the average value of the resultant force within one period as the characteristic parameter of blood vessel damage.

[0018] According to a specific embodiment of the present invention, the calculation formula of the resultant force is as follows: , , and , , Wherein, represents the blood flow pressure, represents the lumen radius of the blood vessel, represents the wall thickness of the blood vessel, represents the Poisson's ratio, represents the stress of the blood flow pressure in the axial direction, represents the wall shear stress, and respectively represent the and after normalization processing, and respectively represent and benchmark values, and are preset parameters, and the range is , represents the resultant force.

[0019] According to a specific embodiment of the present invention, the calculation formula of the average value of the resultant force within one period is as follows: , Among them, represents the average value of the resultant force within one cycle , represents the cycle length, and respectively represent the and after normalization processing, represents the stress of the blood flow pressure in the axial direction, represents the wall shear stress.

[0020] According to a specific embodiment of the present invention, the step of calculating the characteristic parameters of vascular injury based on the biomechanical parameters further includes: taking the uptake value of the nuclear medicine imaging data as the standard value and using it to verify the effectiveness of the characteristic parameters of the vascular injury.

[0021] According to a specific embodiment of the present invention, the steps of constructing a vascular injury assessment model include: dividing the uptake values of the nuclear medicine imaging data into a high-uptake group and a low-uptake group to characterize the degree of vascular injury; constructing a mixed-effect logistic regression model based on the characteristic parameters of the vascular injury and the morphological parameters, and combining the clinical characteristic parameters of the patient as the vascular injury assessment model.

[0022] A system for constructing a vascular injury assessment model includes: a data preprocessing module for obtaining the clinical imaging data of a patient and reconstructing the three-dimensional vascular model of the patient based on it; a characteristic parameter extraction module for extracting the corresponding morphological parameters based on the three-dimensional vascular model and calculating the corresponding biomechanical parameters based on the three-dimensional vascular model; a model construction module for calculating the characteristic parameters of vascular injury based on the biomechanical parameters and constructing a vascular injury assessment model based on it and the morphological parameters to predict the degree of vascular injury of the patient using the vascular injury assessment model.

[0023] An electronic device includes a processor, the processor is coupled with a memory, and the memory stores program instructions, and when the program instructions stored in the memory are executed by the processor, the above-mentioned method is implemented.

[0024] A computer-readable storage medium includes a program, and when the program runs on a computer, it causes the computer to execute the method as described above.

[0025] The present invention provides a method for constructing a vascular injury assessment model based on the structural imaging data of blood vessels. By performing biomechanical calculations based on clinical routine examination images, a new mechanical parameter is proposed, and a vascular injury assessment model is constructed in combination with the key morphological parameters of blood vessels to predict the degree of vascular injury of patients using the model, meeting the clinical application requirements. Description of the Drawings

[0026] Figure 1 A schematic flow chart of a specific embodiment of a method for constructing a blood vessel injury assessment model provided by the present invention; Figure 2 A schematic diagram of a specific embodiment of the aortic model provided by the present invention; Figure 3 A schematic diagram of the stress in the blood direction provided by the present invention; Figure 4 A schematic structural diagram of a specific embodiment of a system for constructing a blood vessel injury assessment model provided by the present invention; Figure 5 A structural block diagram of a specific embodiment of an electronic device provided by the present invention. Detailed implementation manners

[0027] To facilitate the understanding of the present application, the present application will be described more comprehensively below with reference to the relevant drawings. Embodiments of the present application are given in the drawings. However, the present application can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, these embodiments are provided so that the disclosure of the present application is more thorough and comprehensive.

[0028] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present application belongs. The terms used in the description of the present application in this specification are only for the purpose of describing specific embodiments and are not intended to limit the present application.

[0029] The following illustrates the embodiments of the present invention through specific specific examples. Those skilled in the art can easily understand the other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0030] In the following description, a large number of details are explored to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand.

[0031] Embodiment 1 Please refer to Figure 1 The method for constructing a blood vessel injury assessment model shown, including: Step S100: Obtain the clinical image data of the patient and reconstruct the three-dimensional vascular model of the patient based on it.

[0032] It can be understood that in order to reconstruct the individualized three-dimensional vascular model of the patient, it is necessary to obtain the clinical image data of the patient from the hospital, and segment the region of interest from it to reconstruct the three-dimensional vascular model. In a specific embodiment, taking the aorta as an example, the reconstructed aorta model ranges from the ascending aorta to the iliac branch vessels. If the patient has a dissection disease, then the aorta model will be constructed until the dissection position ends.

[0033] Furthermore, the reconstructed three-dimensional vascular model is exported in the form of triangular facets (STereoLithography, STL). And since the STL obtained by segmentation and reconstruction is relatively rough, it is also necessary to use reverse engineering software to smooth and cut it to obtain the final three-dimensional vascular model. In a specific embodiment, as shown in Figure 2 the finally obtained aorta model includes the aorta trunk and the main branch vessels, and the main branch vessels include the main branch vessels of the aortic arch and the main branch vessels of the abdomen. Among them, the main branch vessels of the aortic arch include the innominate artery, the left common carotid artery, and the left subclavian artery; the main branch vessels of the abdomen include: the celiac trunk, the superior mesenteric artery, the left and right renal arteries, and the main branch vessels of the iliac part.

[0034] It should be noted that the clinical image data mentioned in this embodiment is the structural image data of blood vessels, such as CTA image data, magnetic resonance image data, or blood vessel structural image data collected by other imaging techniques, etc. There is no excessive limitation on this. Those skilled in the art, without departing from the spirit of the present invention, the modifications and refinements made to the embodiments of the present invention still fall within the scope of the invention patent application of the present invention.

[0035] Step S200: Extract the corresponding morphological parameters based on the three-dimensional vascular model, and calculate the corresponding biomechanical parameters based on the three-dimensional vascular model.

[0036] Based on the above-obtained three-dimensional vascular model, it is necessary to further extract the characteristic parameters therein to construct a vascular injury assessment model. In this embodiment, it is necessary to extract the morphological parameters of the blood vessels and the biomechanical parameters of the blood vessels and / or blood from the three-dimensional vascular model respectively.

[0037] Specifically, the vascular centerline is extracted from the three-dimensional vascular model, and the vascular centerline is interpolated at intervals of the layer thickness of the imaging tomography. Further, based on the interpolated vascular centerline, the cross-sectional area, perimeter, major axis, minor axis, mean diameter, and equivalent diameter of the blood vessel along the vascular centerline are calculated. Meanwhile, if there are different segments for the blood vessel division at clinically critical anatomical positions, the volumes of different segments of the blood vessel are correspondingly calculated. The various parameters obtained from the above calculations are jointly used as the morphological parameters of the vascular structure.

[0038] It should be noted that the morphological parameters of the vascular structure include but are not limited to those described above. In practical applications, more morphological parameters can be calculated for different types of vascular diseases. For example, for tumorous dilative diseases, the degree of dilation parameters of the tumorous region can be calculated; for stenosis diseases, the stenosis rate can be calculated; for dissection diseases, parameters related to the tear opening can be calculated, such as the area and perimeter of the tear opening. Therefore, the required morphological parameters of the vascular structure can be extracted or calculated from the three-dimensional vascular model according to the actual lesions of the patient to ensure the accuracy and reliability of the subsequently constructed vascular injury assessment model. Those skilled in the art, without departing from the spirit of the present invention, the modifications and refinements made to the embodiments of the present invention still fall within the scope of the invention application patent of the present invention.

[0039] Secondly, the biomechanical parameters of the blood vessel and / or blood can be obtained by biomechanical calculation. Among them, the biomechanical calculation of the blood vessel is to solve the mechanical equations for each grid point after meshing the three-dimensional vascular model to obtain the distribution of mechanical parameters in the entire vascular region.

[0040] First, the three-dimensional vascular model needs to be discretized into grids, that is, for the fluid region, boundary layer grids need to be set at the blood vessel wall. At the same time, before the calculation, the wall properties of the blood vessel and the physical properties of the blood, such as the density and dynamic viscosity of the blood, need to be set.

[0041] Secondly, the boundary conditions of the blood, including velocity and pressure boundary conditions, need to be given according to the morphological structure characteristics of the blood vessel. Among them, the velocity and pressure boundary conditions can be obtained by medical image measurement or by the three-element windkessel model. There are no excessive restrictions on this, and it is only used as a preset condition for biomechanical calculation.

[0042] Finally, when performing biomechanical calculations, transient or steady-state calculations need to be carried out according to actual requirements. When performing transient calculations, each cardiac cycle needs to be discretized into multiple time steps. Each time step length is determined based on the patient's heart rate and the number of time steps. Moreover, time sensitivity is tested before the calculation to determine the rationality of the time step length used. To exclude the initial effect and obtain stable calculation results, when performing steady-state calculations, multiple cycles of calculations need to be carried out, and the calculation results of the last cycle are extracted to obtain the required biomechanical parameters.

[0043] In a specific embodiment, the biomechanical calculation uses hemodynamic calculation, taking the aortic model as an example. When performing the biomechanical calculation, a velocity boundary condition needs to be given at the ascending aorta inlet, an outlet velocity boundary condition needs to be given at the innominate artery, the left common carotid artery, and the subclavian artery, and an outlet pressure boundary condition needs to be given at the abdominal branch vessels and the iliac branch vessels. Among them, the velocity boundary condition is obtained from ultrasonic data, and the pressure boundary condition is obtained through the three-element Windkessel model. At the same time, the blood can be regarded as a Newtonian fluid, the density of the blood is set to 1044 kg / m 3 , the dynamic viscosity of the blood is 0.00365 kg / (m∙s), and the aortic wall is set as a rigid no-slip wall surface for calculation. Finally, according to the time sensitivity test results, each cardiac cycle is discretized into 50 time steps, and the time step length is determined according to the patient's heart rate. During the calculation, to exclude the initial effect and obtain stable calculation results, a total of 4 cycles of calculations are carried out, and the calculation results of the last cycle are extracted to obtain the biomechanical parameters.

[0044] It can be seen that when using hemodynamic calculation, the boundary conditions of the blood and the physical properties of the blood need to be preset in advance.

[0045] In another specific embodiment, the biomechanical calculation uses fluid-structure interaction calculation, taking the aortic model as an example. When performing the biomechanical calculation, for the solid domain, the blood vessel wall thickness needs to be set to 2 mm, the Young's modulus to 0.8 MPa, and the Poisson's ratio to 0.45. For the fluid domain, its settings can be the same as those in the above hemodynamic calculation, that is, the boundary conditions of the blood and the physical properties of the blood are the same. When performing fluid-structure interaction calculation, the pressure obtained from the fluid calculation acts on the solid surface. Similarly, the changes in the solid will change the fluid domain, thereby realizing the coupling of the fluid and the solid. Finally, the dynamic parameters of the blood vessels and the blood can be obtained through the combination of transient and steady-state calculations.

[0046] It can be seen that when using fluid-structure interaction calculation, not only the boundary conditions of the blood and the physical properties of the blood need to be preset in advance, but also the wall properties of the blood vessels need to be preset.

[0047] Based on the above-obtained morphological parameters and biomechanical parameters corresponding to the three-dimensional vascular model, and the biomechanical parameters at least include blood flow velocity, blood pressure, and wall shear stress.

[0048] Step S300, calculate the characteristic parameters of vascular injury according to the biomechanical parameters, and construct a vascular injury assessment model based on them and the morphological parameters, so as to predict the degree of vascular injury of the patient by using the vascular injury assessment model.

[0049] It can be understood that after biomechanical calculation, parameters such as blood flow velocity, pressure, and wall shear stress can be obtained. The stress in the blood flow direction is closely related to vascular injury, and the stress in the blood flow direction includes the wall shear stress and the axial stress generated by the blood flow pressure. The resultant force of the two is also closely related to vascular injury, specifically as Figure 3 shown.

[0050] In this regard, in this embodiment, the resultant force of the wall shear stress and the axial direction generated by the blood flow pressure is defined as in-wall stress (IWS), and its calculation method can be referred to as follows: First, because the wall thickness of the blood vessel is much smaller than the lumen radius of the blood vessel , the blood vessel wall can be regarded as a thin-walled isotropic linear model, and according to Hooke's law: , where, represents the deformation degree of the blood vessel wall, is the Young's modulus, represents the Poisson's ratio, represents the axial stress of the blood flow pressure in the axial direction, represents the circumferential stress generated by the blood pressure, represents the circumferential stress generated by the blood pressure.

[0051] Secondly, assume that the deformation degree of the blood vessel wall is 0. Due to the thin-wall assumption, so . And the circumferential stress generated by the blood pressure can be calculated according to the following formula: , where, represents the blood flow pressure.

[0052] Based on the above, the axial stress generated by the blood flow pressure on the pipe wall is as follows: , Furthermore, endothelial cells can sense the axial stress on the pipe wall, and this stress includes the axial stress generated by the blood flow pressure and the wall shear stress generated by blood flow . Considering that and differ greatly in magnitude, normalization is performed on and respectively, and the following can be obtained: , , wherein, and respectively represent and 's reference values, and this reference value is obtained by calculating the blood flow of normal cases in the same age group. and respectively define the sensitivity of cells to sense stress from a biomechanical perspective, and the ranges of both are , and indicates that cells can well sense mechanical stimuli.

[0053] Based on the above, the IWS defined in this embodiment can be referred to as follows: , In addition, since blood flow has different flow characteristics in a cycle, in order to capture the effect of IWS on endothelial cells in a cycle, the average value of IWS in a cycle is also calculated in this embodiment, defined as Time-averaged in-wall stress (TAIWS), and this is used as a characteristic parameter of vascular injury. Specifically, it can be referred to as follows: , wherein, represents the length of a cycle.

[0054] Here, it should be added that in order to show that TAIWS is closely related to vascular injury, the nuclear medicine image data of patients can be used for verification. It can be understood that the above construction of the three-dimensional vascular model, extraction of morphological parameters, calculation of biomechanical parameters, and calculation of TAIWS all depend on the structural image data of blood vessels, and the uptake value of nuclear medicine image data can be used as a standard value to quantify whether the results calculated using structural image data are related to vascular injury.

[0055] In this regard, taking aortic dissection as an example, by extracting the nuclear medicine uptake value (SUVmax) of the key part and mixing morphological parameters, clinical parameters, etc., univariate linear mixed effect analysis is performed, and the results of the linear mixed effect analysis are shown in Table 1.

[0056] Table 1 Results of univariate linear mixed-effects analysis

[0057] It can be seen that the coefficient of TAIWS is significantly greater than other parameters, proving the effectiveness of the TAIWS parameter, that is, TAIWS is closely related to vascular injury.

[0058] Finally, based on the characteristic parameter TAIWS of vascular injury obtained above, a vascular injury assessment model is constructed by combining the morphological parameters of blood vessels. Specifically, first, the value of SUVmax is divided into a high-uptake group and a low-uptake group to characterize whether there is vascular injury, and a binary classification model is constructed accordingly. Among them, the upper quartile of SUVmax in the dissection area is used as the classification threshold. Then, using the characteristic parameter TAIWS of vascular injury, the morphological parameters of blood vessels, and combining with the clinical characteristic parameters of patients, including but not limited to patient gender, age, history of coronary heart disease, history of diabetes, blood pressure, BMI index, etc., a mixed-effects logistic regression model (binary classification model) for predicting high SUVmax is constructed as the vascular injury assessment model. After the model is constructed, it can be used to predict the degree of vascular injury of patients.

[0059] It should be noted that the step division of the above various methods is only for clear description. When implemented, they can be combined into one step or some steps can be split into multiple steps. As long as they contain the same logical relationship, they are all within the protection scope of this application; adding insignificant modifications to the algorithm or process or introducing insignificant designs, but not changing the core design of its algorithm and process are all within the protection scope of this application.

[0060] Example 2 Please refer to Figure 4 As shown, this embodiment also provides a system for constructing a vascular injury assessment model, including: A data preprocessing module 10 for obtaining the clinical imaging data of patients and reconstructing the three-dimensional vascular model of patients based on it.

[0061] A characteristic parameter extraction module 20 for extracting the corresponding morphological parameters based on the three-dimensional vascular model and calculating the corresponding biomechanical parameters based on the three-dimensional vascular model.

[0062] A model construction module 30 for calculating the characteristic parameters of vascular injury according to the biomechanical parameters and constructing a vascular injury assessment model based on them and the morphological parameters to predict the degree of vascular injury of patients using the vascular injury assessment model.

[0063] It should be noted that the system for constructing the vascular injury assessment model provided in the above embodiments and the method for constructing the vascular injury assessment model provided in the above Embodiment 1 belong to the same concept. The specific manners in which each module and unit perform operations have been described in detail in the method embodiments, and will not be elaborated here. In practical applications, the method for constructing the vascular injury assessment model provided in the above Embodiment 1 can, as needed, allocate the above functions to different functional modules, that is, divide the internal structure of the device into different functional modules to complete all or part of the functions described above. This is not limited here either.

[0064] Embodiment 3 Please refer to Figure 5 As shown, an embodiment of the present application further provides an electronic device, including a memory 2, a processor 1, and a program stored on the memory and executable on the processor. When the processor executes the program, it implements the steps of any one of the above methods.

[0065] Among them, the memory includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (such as SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The memory can be an internal storage unit of the electronic device in some embodiments, such as the mobile hard disk of the electronic device. The memory can also be an external storage device of the electronic device in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the electronic device. Further, the memory can include both the internal storage unit and the external storage device of the electronic device. The memory can be used not only to store application software and various types of data installed in the electronic device, but also to temporarily store data that has been output or will be output.

[0066] The processor can be composed of integrated circuits in some embodiments. For example, it can be composed of a single packaged integrated circuit, or can be composed of multiple integrated circuits with the same or different functions, including a combination of one or more Central Processing Units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor is the control core (Control Unit) of the electronic device, connecting various components of the entire electronic device through various interfaces and circuits, and executing various functions of the electronic device and processing data by running or executing programs or modules stored in the memory and calling data stored in the memory.

[0067] The processor executes the operating system of the electronic device and various installed application programs. The processor executes the application programs to implement the steps in the above method embodiments.

[0068] Exemplarily, the program can be divided into one or more modules, and the one or more modules are stored in the memory and executed by the processor to complete the present invention. The one or more modules can be a series of program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the program in the electronic device.

[0069] The above integrated unit implemented in the form of software function modules can be stored in a computer-readable storage medium. The above software function modules stored in a storage medium include several instructions for causing a computer device (which can be a personal computer, a computer device, or a network device, etc.) or a processor to execute some functions of the various embodiments of the present invention.

[0070] In summary, the present invention provides a method for constructing a blood vessel injury assessment model based on vascular structural image data. By performing biomechanical calculations based on clinical routine examination images, a new mechanical parameter is proposed, and combined with the key morphological parameters of blood vessels to construct a blood vessel injury assessment model to predict the degree of blood vessel injury of patients and meet the clinical application requirements.

[0071] The above embodiments are only used to exemplarily illustrate the principles and effects of the present invention, rather than to limit the present invention. Any person familiar with this technology can modify or change the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or changes completed by those with ordinary knowledge in the technical field without departing from the spirit and technical ideas disclosed by the present invention should still be covered by the claims of the present invention.

Claims

1. A method for constructing a vascular injury assessment model, characterized in that: include: Obtain the patient's clinical imaging data and reconstruct the patient's three-dimensional vascular model based on it; extracting corresponding morphological parameters based on the three-dimensional blood vessel model, and calculating corresponding biomechanical parameters based on the three-dimensional blood vessel model; The characteristic parameters of vascular injury are calculated according to the biomechanical parameters, and a vascular injury assessment model is constructed based on the characteristic parameters and the morphological parameters, so as to use the vascular injury assessment model to predict the degree of vascular injury of the patient.

2. The method for constructing a vascular injury assessment model according to claim 1, characterized in that: The steps of reconstructing the patient's 3D vascular model include: Segmenting a region of interest from the clinical image data and reconstructing a three-dimensional vascular model based thereon; The reconstructed three-dimensional blood vessel model is exported in the form of triangular facets and smoothed and cut; Wherein, the clinical image data is structural image data of blood vessels.

3. The method for constructing a vascular injury assessment model according to claim 1, characterized in that: The step of extracting corresponding morphological parameters based on the three-dimensional blood vessel model comprises: Extracting a blood vessel centerline from the three-dimensional blood vessel model, and interpolating the blood vessel centerline at intervals of the layer thickness of the image tomography; The morphological parameters of the blood vessel along the blood vessel centerline are calculated according to the interpolated blood vessel centerline.

4. The method for constructing a vascular injury assessment model according to claim 3, characterized in that: The morphological parameters are related to the patient's lesions.

5. The method for constructing a vascular injury assessment model according to claim 3, characterized in that: The morphological parameters include the volume of the blood vessel, and the morphological parameters of the blood vessel along the blood vessel centerline calculated according to the interpolated blood vessel centerline also include: The different segments of blood vessels are divided based on clinically critical anatomical locations, and the volumes of different segments of blood vessels are calculated.

6. The method for constructing a vascular damage assessment model according to claim 1 or 3, characterized in that: The morphological parameters include at least: cross-sectional area, perimeter, major axis, minor axis, average diameter, and equivalent diameter.

7. The method for constructing a vascular injury assessment model according to claim 1, characterized in that: The step of calculating corresponding biomechanical parameters based on the three-dimensional blood vessel model comprises: Performing grid discretization processing on the three-dimensional blood vessel model; Transient and / or steady-state biomechanical calculations are performed based on the processed three-dimensional vascular model to obtain corresponding biomechanical parameters.

8. The method for constructing a vascular injury assessment model according to claim 7, characterized in that: The steps of performing transient and / or steady-state biomechanical calculations according to the processed three-dimensional vascular model to obtain corresponding biomechanical parameters include: Before performing biomechanical calculations, each cardiac cycle is discretized into multiple time steps, and each time step is related to the patient's heart rate and the number of time steps; Perform multiple cycles of biomechanical calculations, and obtain corresponding biomechanical parameters based on the calculation results of the last cycle.

9. The method for constructing a vascular injury assessment model according to claim 7, characterized in that: When the biomechanical calculation adopts hemodynamic calculation, the boundary conditions of the blood and the physical properties of the blood are preset according to the morphological and structural characteristics of the blood vessels through which the blood flows during the calculation process; Wherein, the boundary conditions include velocity boundary conditions and pressure boundary conditions.

10. The method for constructing a vascular injury assessment model according to claim 8, characterized in that: When the biomechanical calculation adopts fluid-solid coupling calculation, during the calculation process, the boundary conditions of the blood are preset according to the morphological and structural characteristics of the blood vessels through which the blood flows, as well as the physical properties of the blood and the wall properties of the blood vessels through which the blood flows; Wherein, the boundary conditions include velocity boundary conditions and pressure boundary conditions.

11. The method for constructing a vascular injury assessment model according to claim 1 or 7, characterized in that: The biomechanical parameters at least include blood flow velocity, blood flow pressure, and wall shear stress.

12. The method for constructing a vascular injury assessment model according to claim 11, characterized in that: The step of calculating characteristic parameters of vascular injury according to the biomechanical parameters comprises: The corresponding resultant force is calculated according to the wall shear stress and the stress of the blood flow pressure along the axial direction, and the average value of the resultant force within a cycle is used as the characteristic parameter of the blood vessel damage.

13. The method for constructing a vascular injury assessment model according to claim 12, characterized in that: The formula for calculating the resultant force is as follows: ， ,and , ， in, Indicates blood pressure, represents the lumen radius of the blood vessel, Represents the thickness of the blood vessel wall. represents Poisson's ratio, represents the stress of blood flow pressure along the axial direction, is the wall shear stress, and Respectively represent the normalized and , and Respectively and The baseline value of and is the preset parameter and the range is , Indicates combined force.

14. The method for constructing a vascular injury assessment model according to claim 12, characterized in that: The formula for calculating the average value of the resultant force within a cycle is as follows: ， in, Represents the resultant force in one cycle The average value of Indicates the length of the cycle, and Respectively represent the normalized and , represents the stress of blood flow pressure along the axial direction, represents the wall shear stress.

15. The method for constructing a vascular injury assessment model according to claim 1, characterized in that: The steps to construct a vascular injury assessment model include: The uptake values ​​of nuclear medicine imaging data were divided into high uptake group and low uptake group to characterize the degree of vascular damage; A mixed effects logistic regression model is constructed based on the characteristic parameters of the vascular injury and the morphological parameters in combination with the clinical characteristic parameters of the patient to serve as the vascular injury assessment model.

16. A system for constructing a vascular injury assessment model, characterized in that: include: A data preprocessing module is used to obtain the patient's clinical imaging data and reconstruct the patient's three-dimensional vascular model based on the data; A feature parameter extraction module, used to extract corresponding morphological parameters based on the three-dimensional blood vessel model, and calculate corresponding biomechanical parameters based on the three-dimensional blood vessel model; The model building module is used to calculate the characteristic parameters of vascular injury according to the biomechanical parameters, and to build a vascular injury assessment model based on the characteristic parameters and the morphological parameters, so as to use the vascular injury assessment model to predict the degree of vascular injury of the patient.

17. An electronic device, characterized in that: The method comprises a processor, wherein the processor is coupled to a memory, wherein the memory stores program instructions, and when the program instructions stored in the memory are executed by the processor, the method according to any one of claims 1 to 15 is implemented.

18. A computer-readable storage medium, characterized in that: The invention comprises a program, which, when being executed on a computer, causes the computer to execute the method according to any one of claims 1 to 15.

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