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A Multiscale Modeling Method for Skeletal Muscle Mechanical Behavior

A technology of skeletal muscle mechanics and modeling methods, which is applied in the field of multi-scale modeling of skeletal muscle mechanical behavior, and can solve problems such as unrealization and simulation

Inactive Publication Date: 2017-12-08
HARBIN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The present invention proposes a multi-scale modeling method for skeletal muscle mechanical behavior in order to solve the problem that the prior art cannot realize the complete process simulation from cell electrophysiological action potential activation to skeletal muscle mechanical output

Method used

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  • A Multiscale Modeling Method for Skeletal Muscle Mechanical Behavior
  • A Multiscale Modeling Method for Skeletal Muscle Mechanical Behavior
  • A Multiscale Modeling Method for Skeletal Muscle Mechanical Behavior

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specific Embodiment approach 1

[0026] Specific embodiment one: a kind of multi-scale modeling method of skeletal muscle mechanical behavior comprises the following steps:

[0027] Step 1: Determination of the position and posture of the muscle fibers;

[0028] Step 2: Establish a macroscopic geometric model of skeletal muscle and a microscopic geometric model of skeletal muscle according to step 1;

[0029] Step 3: meshing the geometric model established in step 2;

[0030] Step 4: Carry out modeling of skeletal muscle electrophysiological characteristics according to Step 3;

[0031] Step 5: Perform multi-scale calculation between cells and muscle tissue according to Step 3 and Step 4;

[0032] Step 6: Establish a multi-scale biomechanical model of skeletal muscle according to Step 5;

[0033] Step 7: Predict muscle strength according to Step 6.

[0034] The multi-scale model of skeletal muscle of the present invention and the overall design scheme of simulation are as follows: Figure 5 shown.

specific Embodiment approach 2

[0035] Embodiment 2: The difference between this embodiment and Embodiment 1 is that the specific process of determining the position and posture of the muscle fibers in the step 1 is:

[0036] In the model analysis, the material and the muscle fiber orientation are defined by the element coordinate system. Establish a Cartesian coordinate system on the muscle fiber voxel, the radial direction of the voxel is along the axial direction of the muscle fiber, and the other two coordinate axes of the voxel are located in a plane perpendicular to the muscle fiber. This Cartesian coordinate system is the local coordinate system of the geometric model. Such as figure 2 As shown; the global coordinate system is placed at the geometric center of the skeletal muscle, and the position and posture of the muscle fiber are determined through the connection relationship between the local coordinate system and the global coordinate system, as shown in image 3 shown.

[0037] Other steps an...

specific Embodiment approach 3

[0038] Specific embodiment three: the difference between this embodiment and specific embodiment one or two is: the specific process of setting up skeletal muscle macroscopic geometric model and skeletal muscle microscopic geometric model in the described step 2 is:

[0039] Step 21: Establish a macroscopic geometric model of skeletal muscle

[0040] The medical image volume data of the muscle is acquired by MRI equipment. After the medical image is acquired, the image is preprocessed. The preprocessed image is segmented. After the image is segmented, the 3D reconstruction is performed to obtain the macroscopic geometric model of the skeletal muscle; the geometric modeling of the skeletal muscle is performed. The steps are as figure 1 shown.

[0041] Step 22: Establish a microscopic geometric model of skeletal muscle

[0042] Through diffusion tensor magnetic resonance DT-MRI, microscopic information such as fiber angle can be obtained, and the actual fiber distribution in p...

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Abstract

The invention relates to a skeletal muscle mechanical behavior multiscale modeling method and aims at solving the problem in the prior art that a complete process from cell electrophysiologic action potential activation to skeletal muscle mechanical output cannot be simulated. The method comprises the steps of S1, determining positions and attitudes of muscle fibers; S2, establishing a skeletal muscle macroscopic geometric model and a skeletal muscle microcosmic geometric model according to the S1; S3, carrying out grid division on the geometric models established in the S2; S4, carrying out skeletal muscle electrophysiologic property modeling according to the S3; S5, carrying out multiscale calculation between cells and muscle tissues according to the S3 and S4; S6, establishing a skeletal muscle multiscale biomechanics model according to the S5; and S7, predicting muscular force according to the S6. The method is applied to the field of biomedical engineering.

Description

technical field [0001] The invention relates to a multi-scale modeling method for mechanical behavior of skeletal muscle. Background technique [0002] For the research on analyzing and exploring the function of skeletal muscle, at present, it is almost completely focused on in vivo and in vitro experimental tests, or using anatomical calculation method to judge the function of muscle according to the position relationship between the starting and ending point of muscle and the joint; or applying muscle The electrogram cooperates with telemetry technology and rapid photography to judge the function of muscles by measuring the muscle activity of different parts when the human body is doing various exercises. Due to the complex anatomical and mechanical properties of skeletal muscle and the limitations of experimental methods, the experimental results often can only reflect the macroscopic comprehensive characteristics of skeletal muscle function, and cannot objectively judge ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50G06F19/00
CPCG06F30/20
Inventor 王沫楠
Owner HARBIN UNIV OF SCI & TECH
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