Literature DB >> 18334389

Validation of finite element models of liver tissue using micro-CT.

Hongjian Shi1, Aly A Farag, Rachid Fahmi, Dongqing Chen.   

Abstract

In this work, we aim at validating some soft tissue deformation models using high-resolution micro-computed tomography (Micro-CT) images. The imaging technique plays a key role in detecting the tissue deformation details in the contact region between the tissue and the surgical tool (probe) for small force loads and provides good capabilities of creating accurate 3-D models of soft tissues. Surgical simulations rely on accurate representation of the mechanical response of soft tissues subjected to surgical manipulations. Several finite-element models have been suggested to characterize soft tissues. However, validating these models for specific tissues still remain a challenge. In this study, ex vivo lamb liver tissue is chosen to validate the linear elastic model (LEM), the linear viscoelastic model (LVEM), and the neo-Hooke hyperelastic model (NHM). We find that the LEM is more applicable to lamb liver than the LVEM for smaller force loads (< 20 g) and that the NHM is closer to reality than the LVEM for the range of force loads from 5 to 40 g.

Mesh:

Year:  2008        PMID: 18334389     DOI: 10.1109/TBME.2007.905387

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  2 in total

1.  Toward high-speed 3D nonlinear soft tissue deformation simulations using Abaqus software.

Authors:  Ashraf Idkaidek; Iwona Jasiuk
Journal:  J Robot Surg       Date:  2015-09-26

2.  Automatic liver tumor localization using deep learning-based liver boundary motion estimation and biomechanical modeling (DL-Bio).

Authors:  Hua-Chieh Shao; Xiaokun Huang; Michael R Folkert; Jing Wang; You Zhang
Journal:  Med Phys       Date:  2021-11-19       Impact factor: 4.071

  2 in total

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