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Biomechanics modeling method for subcutaneous adipose tissues based on linear elasticity and superelasticity models

A technology for modeling subcutaneous fat and mechanics, which is applied in the fields of bioinformatics, biological systems, and informatics, and can solve the problems of slow speed and low accuracy of subcutaneous fat tissue model simulation

Inactive Publication Date: 2016-10-12
HARBIN UNIV OF SCI & TECH
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention proposes a biomechanical modeling method for subcutaneous adipose tissue based on linear elastic and hyperelastic models in order to solve the problems of low simulation accuracy and slow speed of the existing subcutaneous adipose tissue model

Method used

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  • Biomechanics modeling method for subcutaneous adipose tissues based on linear elasticity and superelasticity models
  • Biomechanics modeling method for subcutaneous adipose tissues based on linear elasticity and superelasticity models
  • Biomechanics modeling method for subcutaneous adipose tissues based on linear elasticity and superelasticity models

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specific Embodiment approach 1

[0022] Specific embodiment one: the biomechanical modeling method of subcutaneous adipose tissue based on linear elasticity and hyperelasticity model comprises the following steps:

[0023] Step 1: Establishment of geometric model and mesh division;

[0024] Step 2: Establish a linear elastic biomechanical model;

[0025] Step 3: Establish a hyperelastic biomechanical model;

[0026] Step 4: Carry out the finite element simulation of the hyperelastic biomechanical model according to Step 2 and Step 3;

[0027] Step 5: Carry out linear elastic model finite element calculation;

[0028] Step 6: Finite element simulation of linear elastic and hyperelastic hybrid model.

specific Embodiment approach 2

[0029] Specific embodiment two: the difference between this embodiment and specific embodiment one is: the establishment of the geometric model and the grid division in the step one are as follows:

[0030] The patient's individual information is read from the CT image, and the area representing the subcutaneous fat tissue in the CT image is separated from other adhesive tissues through the image segmentation function in the MIMICS software to obtain the density information of the human tissue that needs to be studied; from DICOM data to A grid model is generated and the unit numbers and node coordinates of the model are obtained as raw data input for deformation calculation; the grid model is a geometric model after grid division. The acquisition process is as figure 1 shown. DICOM is a data storage format.

[0031] Other steps and parameters are the same as those in Embodiment 1.

specific Embodiment approach 3

[0032] Specific embodiment three: the difference between this embodiment and specific embodiment one or two is: the establishment of a linear elastic biomechanical model in the step two is specifically:

[0033] The stress-strain relationship of the linear elastic biomechanical model can be expressed as:

[0034] σ=D·ε(1)

[0035] Among them, D is the elastic matrix, which is determined by the elastic modulus E and Poisson's ratio ν; σ is the stress, and ε is the strain.

[0036] Other steps and parameters are the same as those in Embodiment 1 or Embodiment 2.

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Abstract

The invention relates to a biomechanics modeling method for subcutaneous adipose tissues based on linear elasticity and superelasticity models. According to the biomechanics modeling method, the problems that an existing subcutaneous adipose tissue model is low in simulation accuracy and speed are solved. The biomechanics modeling method comprises the following steps: (1) establishing a geometric model, and dividing grids; (2) establishing a linear elasticity biomechanics model; (3) establishing a superelasticity biomechanics model; (4) carrying out finite element simulation on the superelasticity biomechanics model according to the step (1) and the step (2); (5) carrying out finite element calculation on the linear elasticity model; and (6) carrying out finite element simulation on a mixed linear elasticity and superelasticity model. By virtue of comparison on a simulation result and an experimental result, the accuracy of the biomechanics modeling method is verified. By virtue of comparison on simulation time of the single linear model and superelasticity model, high efficiency of a simulation algorithm of the mixed linear elasticity and superelasticity model is verified. The biomechanics modeling method is applied to the field of biomedical engineering.

Description

technical field [0001] The invention relates to a biomechanical modeling method of subcutaneous fat tissue. Background technique [0002] The biomechanical models of subcutaneous adipose tissue in the virtual surgery system can be basically divided into two categories: one is a relatively simple linear model, which is mainly used to achieve real-time deformation simulation. This model has a simple structure and a high simulation speed. However, the simulation accuracy is low, and there is a big difference with the actual mechanical properties of subcutaneous fat tissue. Another type of model is the nonlinear model, which is mainly used for high-precision deformation simulation of subcutaneous fat tissue. Most of these models are concluded through experiments, and are relatively close to the actual mechanical properties of subcutaneous fat tissue. However, the biomechanical model of this type The complexity is high, and the calculation amount of simulation is large. Current...

Claims

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Application Information

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IPC IPC(8): G06F19/16G06F19/12
CPCG16B5/00G16B15/00
Inventor 王沫楠
Owner HARBIN UNIV OF SCI & TECH
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