Literature DB >> 26946095

Multi-material 3-D viscoelastic model of a transtibial residuum from in-vivo indentation and MRI data.

David M Sengeh1, Kevin M Moerman1, Arthur Petron1, Hugh Herr2.   

Abstract

Although the socket is critical in a prosthetic system for a person with limb amputation, the methods of its design are largely artisanal. A roadblock for a repeatable and quantitative socket design process is the lack of predictive and patient specific biomechanical models of the residuum. This study presents the evaluation of such a model using a combined experimental-numerical approach. The model geometry and tissue boundaries are derived from magnetic resonance imaging (MRI). The soft tissue non-linear elastic and viscoelastic mechanical behavior was evaluated using inverse finite element analysis (FEA) of in-vivo indentation experiments. A custom designed robotic in-vivo indentation system was used to provide a rich experimental data set of force versus time at 18 sites across a limb. During FEA, the tissues were represented by two layers, namely the skin-adipose layer and an underlying muscle-soft tissue complex. The non-linear elastic behavior was modeled using 2nd order Ogden hyperelastic formulations, and viscoelasticity was modeled using the quasi-linear theory of viscoelasticity. To determine the material parameters for each tissue, an inverse FEA based optimization routine was used that minimizes the combined mean of the squared force differences between the numerical and experimental force-time curves for indentations at 4 distinct anatomical regions on the residuum. The optimization provided the following material parameters for the skin-adipose layer: [c=5.22kPam=4.79γ=3.57MPaτ=0.32s] and for the muscle-soft tissue complex [c=5.20kPam=4.78γ=3.47MPaτ=0.34s]. These parameters were evaluated to predict the force-time curves for the remaining 14 anatomical locations. The mean percentage error (mean absolute error/ maximum experimental force) for these predictions was 7±3%. The mean percentage error at the 4 sites used for the optimization was 4%.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Inverse finite element analysis; Soft tissue viscoelastic properties; Transtibial residual limb

Mesh:

Year:  2016        PMID: 26946095     DOI: 10.1016/j.jmbbm.2016.02.020

Source DB:  PubMed          Journal:  J Mech Behav Biomed Mater        ISSN: 1878-0180


  9 in total

1.  A Framework for Measuring the Time-Varying Shape and Full-Field Deformation of Residual Limbs Using 3-D Digital Image Correlation.

Authors:  Dana Solav; Kevin M Moerman; Aaron M Jaeger; Hugh M Herr
Journal:  IEEE Trans Biomed Eng       Date:  2019-01-24       Impact factor: 4.538

2.  Quantitative Assessments of Mechanical Responses upon Radial Extracorporeal Shock Wave Therapy.

Authors:  Yajun Liu; Xiaodong Chen; Anyi Guo; Sijin Liu; Guoqing Hu
Journal:  Adv Sci (Weinh)       Date:  2017-12-19       Impact factor: 16.806

3.  Leveraging Digital Technology to Overcome Barriers in the Prosthetic and Orthotic Industry: Evaluation of its Applicability and Use During the COVID-19 Pandemic.

Authors:  Trevor Binedell; Karupppasamy Subburaj; Yoko Wong; Lucienne T M Blessing
Journal:  JMIR Rehabil Assist Technol       Date:  2020-11-05

4.  ARACAM: A RGB-D Multi-View Photogrammetry System for Lower Limb 3D Reconstruction Applications.

Authors:  Marco A Barreto; Jorge Perez-Gonzalez; Hugh M Herr; Joel C Huegel
Journal:  Sensors (Basel)       Date:  2022-03-22       Impact factor: 3.576

5.  Experimental characterisation of porcine subcutaneous adipose tissue under blunt impact up to irreversible deformation.

Authors:  Felicitas Lanzl; Fabian Duddeck; Saskia Willuweit; Steffen Peldschus
Journal:  Int J Legal Med       Date:  2021-12-04       Impact factor: 2.791

6.  Template models for simulation of surface manipulation of musculoskeletal extremities.

Authors:  Sean Doherty; Ben Landis; Tammy M Owings; Ahmet Erdemir
Journal:  PLoS One       Date:  2022-08-15       Impact factor: 3.752

7.  An Efficient Modelling-Simulation-Analysis Workflow to Investigate Stump-Socket Interaction Using Patient-Specific, Three-Dimensional, Continuum-Mechanical, Finite Element Residual Limb Models.

Authors:  Ellankavi Ramasamy; Okan Avci; Beate Dorow; Sook-Yee Chong; Leonardo Gizzi; Günter Steidle; Fritz Schick; Oliver Röhrle
Journal:  Front Bioeng Biotechnol       Date:  2018-09-19

8.  Analysis of Pressure Distribution in Transfemoral Prosthetic Socket for Prefabrication Evaluation via the Finite Element Method.

Authors:  Mohd Syahmi Jamaludin; Akihiko Hanafusa; Yamamoto Shinichirou; Yukio Agarie; Hiroshi Otsuka; Kengo Ohnishi
Journal:  Bioengineering (Basel)       Date:  2019-10-24

9.  Changes in Tissue Composition and Load Response After Transtibial Amputation Indicate Biomechanical Adaptation.

Authors:  J L Bramley; P R Worsley; D L Bader; C Everitt; A Darekar; L King; A S Dickinson
Journal:  Ann Biomed Eng       Date:  2021-09-27       Impact factor: 3.934

  9 in total

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