Peripheral vasculopathy simulation platform based on biomechanics

Abstract

The invention belongs to the technical field of peripheral vasculopathy simulation, and provides a biomechanics-based peripheral vasculopathy simulation platform, which comprises a peripheral vasculopathy model, a biomechanics simulation system, a data acquisition and analysis module and a visualization module, the platform can more accurately simulate the flowing state of blood in a complex vascular structure, collect and analyze data in real time, and display a simulation result in a visual mode, so that researchers and doctors are helped to more deeply understand the influence of peripheral vascular lesions on blood flowing, a more accurate basis is provided for disease treatment, and the working efficiency is improved. And the method has a wide application range and a personalized simulation analysis scheme.

Description

Technical Field

[0001] The invention belongs to the technical field of peripheral vascular lesion simulation, in particular to a peripheral vascular lesion simulation platform based on biomechanics. Background Art

[0002] In the study and treatment of peripheral vascular diseases, it is crucial to accurately simulate and analyze the effects of vascular lesions on blood flow. Traditional simulation methods often rely on simplified mathematical models or physical experiments, which have great limitations when simulating complex vascular structures and lesion types. For example, simplified mathematical models cannot accurately reflect the flow characteristics of blood in complex vascular structures, while physical experiments are limited by operational complexity and high costs.

[0003] With the development of computer technology and biomechanics, people have begun to try to use computer simulation technology to simulate the impact of peripheral vascular disease on blood flow. However, existing computer simulation platforms still have shortcomings in simulation accuracy, real-time and visualization. In particular, when simulating different types of peripheral vascular disease, existing platforms often cannot provide sufficiently detailed biomechanical parameters and analysis results, thus limiting their application in clinical research and treatment.

[0004] To this end, those skilled in the art have proposed a biomechanical-based peripheral vascular disease simulation platform to solve the problems raised by the background technology. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides a biomechanically based peripheral vascular disease simulation platform to solve the problem that the platform in the prior art often cannot provide sufficiently detailed biomechanical parameters and analysis results, thereby limiting its application in clinical research and treatment.

[0006] A biomechanically based peripheral vascular disease simulation platform, comprising:

[0007] One or more peripheral vascular disease models, wherein the models are capable of simulating different types of peripheral vascular diseases;

[0008] Biomechanical simulation system, used to simulate the flow of blood in the peripheral vascular disease model, and calculate and analyze the biomechanical parameters during the blood flow process;

[0009] The data acquisition and analysis module is used to collect the data output by the biomechanical simulation system, and process and analyze it to evaluate the impact of peripheral vascular disease on blood flow;

[0010] The visualization module is used to display the biomechanical simulation results in an intuitive way, making it easier for researchers and doctors to understand and analyze.

[0011] Preferably, the peripheral vascular disease model includes but is not limited to an atherosclerosis model, a vascular stenosis model, a vascular occlusion model, a hemangioma model, and the like.

[0012] Preferably, in the simulation of peripheral vascular disease, the introduction of Navier-Stokes equations can more accurately simulate the flow state of blood in complex vascular structures, including changes in key parameters such as velocity, pressure and viscosity.

[0013] Preferably, the biomechanical simulation system adopts a blood vessel blood flow simulation method based on mechanical equations, including obtaining characteristic data of the blood vessel, constructing a three-dimensional model of the blood vessel, discretizing the calculation area, constructing a physical mathematical model, and performing calculations based on the model to obtain blood flow parameters, wherein the three-dimensional model includes:

[0014] Polygonal modeling: The shape of an object is represented by drawing polygons in three-dimensional space. It is suitable for building simple blood vessel models.

[0015] Curve modeling method: The shape of an object is represented by drawing a smooth curve, which is suitable for constructing blood vessel models with complex curve shapes;

[0016] NURBS (Non-Uniform Ratio B-Spline) modeling method: a curve modeling method based on B-spline function, which has high accuracy and flexibility and is suitable for building high-precision blood vessel models;

[0017] Subdivision surface modeling method: The shape of an object is represented by continuously subdividing a plane model into smaller surfaces. It is suitable for building blood vessel models with complex surface shapes.

[0018] Point cloud-based 3D reconstruction: point cloud data extracted from medical images (such as CT, MRI, etc.) is used to construct a 3D model of blood vessels through surface reconstruction algorithms (such as moving least squares method, Poisson surface reconstruction, etc.);

[0019] The physical mathematical model includes:

[0020] Navier-Stokes equation: an equation of motion that describes the conservation of momentum of viscous fluids and is used to simulate the flow of blood in blood vessels;

[0021] Continuity equation: An equation describing the conservation of fluid mass, used to ensure that the mass of blood remains constant during the simulation;

[0022] Viscosity model: such as the Carreau-Yasuda model, which is used to describe the change of blood viscosity with shear rate;

[0023] Turbulence models: such as the k-ε model and k-ωSST model, which are used to describe the turbulent flow state of blood in complex vascular structures;

[0024] Wall function: such as logarithmic wall function, which is used to approximately describe the flow characteristics in the near-wall area.

[0025] Preferably, the biomechanical simulation system further comprises: using a multi-objective optimization algorithm to find the best combination of hemodynamic parameters to simulate more complex and realistic vascular lesions.

[0026] Preferably, the data acquisition and analysis module is capable of acquiring data output by the biomechanical simulation system in real time, and performing real-time processing and analysis to dynamically evaluate the impact of peripheral vascular disease on blood flow, i.e., introducing an unsupervised learning algorithm (including a clustering algorithm) to process the collected data.

[0027] Preferably, the visualization module can display the biomechanical simulation results in the form of three-dimensional images, animations or charts, including distribution diagrams of parameters such as blood flow velocity, blood pressure, shear force, etc.

[0028] A processor is configured to execute the above-mentioned biomechanics-based peripheral vascular disease simulation platform.

[0029] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned biomechanical-based peripheral vascular disease simulation platform.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] 1. By introducing advanced biomechanical models such as the Navigator-Stokes equation, the present invention can more accurately simulate the flow state of blood in complex vascular structures, including changes in key parameters such as velocity, pressure and viscosity, which helps researchers to have a deeper understanding of the impact of peripheral vascular diseases on blood flow and provide a more accurate basis for the treatment of diseases.

[0032] 2. The present invention adopts an efficient data acquisition and analysis module, which can collect data output by the biomechanical simulation system in real time, and perform real-time processing and analysis, so that researchers can dynamically evaluate the impact of peripheral vascular lesions on blood flow, adjust simulation parameters in time, and improve the accuracy and efficiency of the simulation.

[0033] 3. The present invention is equipped with an advanced visualization module that can intuitively display the biomechanical simulation results in the form of three-dimensional images, animations or charts, which helps researchers and doctors to understand and analyze the simulation results more intuitively and provide a more intuitive basis for the diagnosis and treatment of diseases.

[0034] 4. The peripheral vascular disease models of the present invention include but are not limited to atherosclerosis models, vascular stenosis models, vascular occlusion models, hemangioma models, etc., which can simulate different types of peripheral vascular diseases, so that the present invention has a wider range of applications in clinical research and treatment, and can provide personalized simulation and analysis solutions for different types of peripheral vascular diseases. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 This is a framework diagram of the biomechanical-based peripheral vascular disease simulation platform of the present invention. DETAILED DESCRIPTION

[0036] The following embodiments of the present invention are described in further detail in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0037] Embodiment: The present invention provides a peripheral vascular disease simulation platform based on biomechanics, such as Figure 1 As shown, it includes a peripheral vascular disease model, a biomechanical simulation system, a data acquisition and analysis module and a visualization module, and the peripheral vascular disease model, the biomechanical simulation system, the data acquisition and analysis module and the visualization module are electrically connected in sequence:

[0038] One or more peripheral vascular disease models, wherein the models are capable of simulating different types of peripheral vascular diseases;

[0039] Biomechanical simulation system, used to simulate the flow of blood in the peripheral vascular disease model, and calculate and analyze the biomechanical parameters during the blood flow process;

[0040] The data acquisition and analysis module is used to collect the data output by the biomechanical simulation system, and process and analyze it to evaluate the impact of peripheral vascular disease on blood flow;

[0041] The visualization module is used to display the biomechanical simulation results in an intuitive way, making it easier for researchers and doctors to understand and analyze.

[0042] From the above, we can see that the platform can more accurately simulate the flow state of blood in complex vascular structures, collect and analyze data in real time, and display the simulation results in an intuitive way, thereby helping researchers and doctors to more deeply understand the impact of peripheral vascular diseases on blood flow, provide a more accurate basis for the treatment of the disease, and has a wide range of applications and personalized simulation analysis solutions.

[0043] Furthermore, the peripheral vascular disease model includes but is not limited to an atherosclerosis model, a vascular stenosis model, a vascular occlusion model, a hemangioma model, and the like.

[0044] Furthermore, in the simulation of peripheral vascular disease, the introduction of the Navier-Stokes equation can more accurately simulate the flow state of blood in a complex vascular structure, including changes in key parameters such as velocity, pressure and viscosity. The formula of the Navier-Stokes equation includes:

[0045]

[0046] Among them, u is the velocity field vector, p is the pressure field, ρ is the fluid density (for blood, it can be regarded as a constant), μ is the dynamic viscosity, and f is the external force field (such as gravity, cardiac contraction force, etc.).

[0047] From the above, we can see that in the simulation of peripheral vascular disease, the introduction of the Naviger-Stokes equation can significantly improve the accuracy of simulating the flow state of blood in complex vascular structures, accurately capture the changes in key parameters including velocity, pressure and viscosity, thereby providing researchers with more detailed and accurate biomechanical parameters, helping to deeply understand the specific impact of peripheral vascular disease on blood flow, and provide a more scientific basis for the diagnosis and treatment of the disease.

[0048] Furthermore, the biomechanical simulation system adopts a vascular blood flow simulation method based on mechanical equations, including obtaining characteristic data of the blood vessels, constructing a three-dimensional model of the blood vessels, discretizing the calculation area, constructing a physical mathematical model, and performing calculations based on the model to obtain blood flow parameters.

[0049] Furthermore, the biomechanical simulation system further includes: using a multi-objective optimization algorithm to find the best combination of hemodynamic parameters to simulate a more complex and realistic vascular lesion situation, and the formula of the multi-objective optimization algorithm includes:

[0050]

[0051] Among them, f i (x) is the i-th objective function, w i is the corresponding weight, and

[0052] From the above, we can see that in the biomechanical simulation system, the use of multi-objective optimization algorithms to find the best hemodynamic parameter combination can comprehensively consider multiple objective functions, balance the relationship between different parameters, and find the optimal parameter combination, so as to more accurately simulate more complex and realistic vascular lesions. This method improves the accuracy and authenticity of the simulation, helps researchers to have a deeper understanding of the hemodynamic mechanism of peripheral vascular lesions, and provides stronger support for the formulation of treatment strategies for the disease.

[0053] Furthermore, the data acquisition and analysis module can acquire data output by the biomechanical simulation system in real time, and perform real-time processing and analysis to dynamically evaluate the impact of peripheral vascular disease on blood flow, that is, introduce an unsupervised learning algorithm (including a clustering algorithm) to process the acquired data. The formula of the unsupervised learning algorithm includes:

[0054]

[0055] in, is the center of the jth cluster at the t+1th iteration, is the set of data points belonging to the jth cluster at the tth iteration.

[0056] As can be seen from the above, in the data acquisition and analysis module, the data output by the biomechanical simulation system is collected in real time and processed and analyzed in real time. At the same time, the beneficial effect of introducing unsupervised learning algorithms (including clustering algorithms) to process the collected data is that it can achieve instant feedback and dynamic evaluation of simulation data, and timely discover and process abnormalities or key information in the data. This method not only improves the efficiency and accuracy of data processing, but also can dynamically reflect the impact of peripheral vascular lesions on blood flow, providing researchers with real-time and comprehensive data analysis support, which helps to adjust simulation parameters and optimize simulation results more quickly.

[0057] Furthermore, the visualization module can display the biomechanical simulation results in the form of three-dimensional images, animations or charts, including distribution diagrams of parameters such as blood flow velocity, blood pressure, and shear force.

[0058] From the above, we can see that being able to present complex hemodynamic information intuitively and clearly enables researchers to more easily understand and analyze the specific impact of peripheral vascular disease on blood flow, thereby providing more intuitive and powerful visual support for the diagnosis, treatment and research of the disease.

[0059] Working principle: By constructing a comprehensive platform including a peripheral vascular disease model, a biomechanical simulation system, a data acquisition and analysis module, and a visualization module, the flow state of blood in a complex vascular structure is simulated, and the simulation data is collected, processed and analyzed in real time. Finally, the biomechanical simulation results are displayed in an intuitive way, thereby achieving an in-depth understanding and evaluation of the impact of peripheral vascular diseases.

[0060] Furthermore, the effects of a biomechanically based peripheral vascular disease simulation platform of the embodiment and the currently available computer simulation platform (comparative example) were compared to obtain the following table:

[0061]

[0062]

[0063] As can be seen from the above table, the difference in effect between the biomechanics-based peripheral vascular disease simulation platform and the currently available computer simulation platforms indicates that the platform has advantages in target focus, simulation accuracy, data real-time, visualization effect, disease research support, user-friendliness, and customization. It also suggests a higher demand for computing resources.

[0064] The embodiment of the present application provides an electronic device, which is applicable to the above-mentioned biomechanical-based peripheral vascular disease simulation platform, including:

[0065] Memory, used to protect computer programs and data;

[0066] Processor, used to run system programs.

[0067] An embodiment of the present application provides a computer storage medium, which is applicable to the above-mentioned biomechanics-based peripheral vascular disease simulation platform, and performs hierarchical confidentiality management on the above-mentioned system and data in accordance with confidentiality management requirements.

[0068] Those skilled in the art will appreciate that the embodiments of the present application may be provided as a system or a computer program product. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0069] The present application is described with reference to the flowcharts and / or block diagrams of the devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0070] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0071] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0072] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0073] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0074] Computer readable media include permanent and non-permanent, removable and non-removable media, and can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include transitory media such as modulated data signals and carrier waves.

[0075] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, commodity or device including the elements.

[0076] The embodiments of the present invention are provided for the purpose of illustration and description. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations of the present invention. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A biomechanically based peripheral vascular disease simulation platform, characterized by: include: One or more peripheral vascular disease models, wherein the models are capable of simulating different types of peripheral vascular diseases; Biomechanical simulation system, used to simulate the flow of blood in the peripheral vascular disease model, and calculate and analyze the biomechanical parameters during the blood flow process; Data acquisition and analysis module, used to collect data output by the biomechanical simulation system, and to process and analyze it; The visualization module is used to display the biomechanical simulation results in an intuitive way, which is convenient for researchers and doctors to understand and analyze.

2. A biomechanically based peripheral vascular disease simulation platform as claimed in claim 1, characterized in that: The peripheral vascular disease model includes, but is not limited to, an atherosclerosis model, a vascular stenosis model, a vascular occlusion model, and a hemangioma model.

3. A biomechanically based peripheral vascular disease simulation platform as claimed in claim 2, characterized in that: In the simulation of peripheral vascular disease, the introduction of Navier-Stokes equations can more accurately simulate the flow state of blood in complex vascular structures, including changes in velocity, pressure and viscosity parameters.

4. A biomechanically based peripheral vascular disease simulation platform as claimed in claim 1, characterized in that: The biomechanical simulation system adopts a vascular blood flow simulation method based on mechanical equations, including obtaining characteristic data of the blood vessels, constructing a three-dimensional model of the blood vessels, discretizing the calculation area, constructing a physical mathematical model, and performing calculations based on the model to obtain blood flow parameters.

5. A biomechanically based peripheral vascular disease simulation platform as claimed in claim 4, characterized in that: The biomechanical simulation system also includes: using a multi-objective optimization algorithm to find the best combination of hemodynamic parameters.

6. A biomechanically based peripheral vascular disease simulation platform as claimed in claim 1, characterized in that: The data acquisition and analysis module can acquire the data output by the biomechanics simulation system in real time, and perform real-time processing and analysis.

7. The biomechanical-based peripheral vascular disease simulation platform according to claim 1, characterized in that: The visualization module can display the biomechanical simulation results in the form of three-dimensional images, animations or charts.

8. A processor, characterized in that: The invention is configured to execute a biomechanics-based peripheral vascular disease simulation platform according to any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, a peripheral vascular disease simulation platform based on biomechanics as described in any one of claims 1 to 7 is implemented.

Images