Deformable modeling of human liver with contact surface

Adil Al-Mayah, Joanne Moseley, Mike Velec, Kristy Brock

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Patient specific 3D finite element models have been developed using 4DCT (3D+time) image data for 5 liver cancer patients. Each model consists of the liver, tumors, left and right kidneys, stomach, spleen and body. Breathing motion of the liver, spleen and body is found and applied as displacement boundary conditions in the model. Sliding of the liver relative to the surrounding tissues is modeled using frictionless contact surfaces. Landmarks representing vessels bifurcation inside the liver are used for the model accuracy test. The goal of the study is to examine the effect of contact surface model on the performance of the deformable image registration of the liver. The accuracy of the model is improved by applying contact surface. Substantial displacement differences are observed between models with and without contact surface of the liver. The largest difference is in the Superior-Inferior (SI) followed by Anterior-Posterior (AP).

Original languageEnglish (US)
Title of host publicationTIC-STH'09
Subtitle of host publication2009 IEEE Toronto International Conference - Science and Technology for Humanity
Pages137-140
Number of pages4
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 IEEE Toronto International Conference - Science and Technology for Humanity, TIC-STH'09 - Toronto, ON, Canada
Duration: Sep 26 2009Sep 27 2009

Publication series

NameTIC-STH'09: 2009 IEEE Toronto International Conference - Science and Technology for Humanity

Other

Other2009 IEEE Toronto International Conference - Science and Technology for Humanity, TIC-STH'09
Country/TerritoryCanada
CityToronto, ON
Period9/26/099/27/09

Keywords

  • Cancer
  • Contact surface
  • FEM
  • Image registration
  • Liver
  • Radiotherapy

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Biomedical Engineering
  • Electrical and Electronic Engineering
  • Human Factors and Ergonomics

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