The Influence of Hindlimb Unloading on Bone and Muscle Tissues in Rat Model

Baltina, Tatyana; Ahmetov, Nafis; Sachenkov, Oskar; Fedyanin, Artur; Lavrov, Igor

doi:10.1007/s12668-016-0288-8

Cited by 8 publications

(2 citation statements)

References 13 publications

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“…Происходит так называемая перестройка костной ткани, что влечет за собой изменения структурных свойств исследуемых органов. Этот эффект неоднократно был замечен в рамках экспериментов in vivo на животных [4][5][6]. Существуют подходы к моделированию таких процессов.…”

Section: Introductionunclassified

The Image-Based Finite Element Evaluation of the Deformed State

Vorobiev

В²,

Семенова

et al. 2021

PNRPU Mechanics Bulletin

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The article presents one of the possible approaches to modeling objects with anisotropic properties based on images of the study area. Data from such images are taken into account when building a numerical model. In this case, material inhomogeneity can be included by integrating the local stiffness matrix of each finite element with a certain weight function. The purpose of the presented work is to develop a finite element for the formation of a computational ensemble and simulation of mechanical behavior taking into account the data of two-dimensional medical images. To implement the proposed approach, we used the assumption that there is a correlation between the values in the image pixels and the elastic properties of the material. Meshing was based on a four-node plane finite element. This approach allows using the quantitative phase or scanning electronic images, as well as computed tomography data. A number of test problems for compression of elementary geometry samples were calculated. The distal part of the rat femur was considered as a model problem. A computed tomography scan of the sample was used to construct a numerical model taking into account the inhomogeneity of the material distribution inside the organ. The distribution field of the nodal displacements based on data obtained from the images of the study area is presented. Within the framework of a model problem, we considered how a computer tomograph resolution influences the quality of the obtained results. For this purpose, calculations were carried out based on compressed input medical images.

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Section: Introductionunclassified

The Image-Based Finite Element Evaluation of the Deformed State

Vorobiev

В²,

Семенова

et al. 2021

PNRPU Mechanics Bulletin

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“…Nowadays, numerical methods became very popular in different science compartments [1][2][3][4][5][6]. For mechanical simulation, it is important to know mechanical parameters, which can get from experiments.…”

Section: Introductionmentioning

confidence: 99%

Direct image-based micro finite element modelling of bone tissue

et al. 2020

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In the paper, a method for the direct image-based creation of the finite element model from images is presented. Image information is taken into account during the calculation of the element stiffness matrix. In this case, material heterogeneity can be included directly in the finite element model. For this purpose, the hypothesis about the correlation between pixel values and elastic properties was used. Four nodes plane element was built. The element can be used with the quantitative phase or scanning electron images and computed tomography data. Simulation for bone data performed. The influence of pixel on the error estimate was studied. The method to parallelize the calculation of the stiffness matrix is presented. As an example, a slice of bone was used in the calculation. Results for average stress distribution for the origin and improved mesh are presented.

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