Abstract2018-05-24T12:52:58+00:00

An anisotropic microsphere-based approach for fiber orientation adaptation in soft tissue

Author (s): Sáez, P.; Pena, E.; Doblare, M.; Martinez, M.A.
Journal: IEEE Transactions on Biomedical Engineering

Volume: 58, Issue 12
Pages: 3500 – 3503
Date: 2011

Abstract:
Evolutionary processes in biological tissue, such as adaptation or remodeling, represent an enterprising area of research. In this paper, we present a multiscale model for the remodeling of fibered structures, such as bundles of collagen fibrils. With this aim, we introduce a von Mises statistical distribution function to account for the directional dispersion of the fibrils, and we remodel the underlying fibrils by changing their orientation. To numerically compute this process, we make use of the microsphere approach, which provides a useful multiscale tool for homogenizing the microstructure behavior, related to the fibrils of the bundle, in the macroscale of the problem. The results show how the fibrils respond to the stimulus by reorientation of their structure. This process leads to a stiffer material eventually reaching a stationary state. These results are in agreement with those reported in the literature, and they characterize the adaptation of biological tissue to external stimuli.

  
  

Bibtex:

@ARTICLE{5999710,

author={P. Sáez and E. Pena and M. Doblare and M. Á. Martinez},
journal={IEEE Transactions on Biomedical Engineering},
title={An Anisotropic Microsphere-Based Approach for Fiber Orientation Adaptation in Soft Tissue},
year={2011},
volume={58},
number={12},
pages={3500-3503},
keywords={biological tissues;cellular biophysics;fibres;molecular biophysics;numerical analysis;physiological models;proteins;statistical distributions;anisotropic microsphere-based approach;biological tissue;collagen fibrils;directional dispersion;fiber orientation adaptation;flbered structures;microstructure behavior;multiscale model;soft tissue;stationary state;von Mises statistical distribution function;Adaptation models;Biological system modeling;Biological tissues;Computational modeling;Materials;Tensile stress;Anisotropy;biological tissue;hyperelasticity;microsphere;remodeling;Anisotropy;Biomechanics;Collagen;Elasticity;Microspheres;Models, Biological},
doi={10.1109/TBME.2011.2166154},
ISSN={0018-9294},
month={Dec},}