Patient-specific biomechanical modeling of ventricular enlargement in hydrocephalus from longitudinal magnetic resonance imaging

Yasheng Chen, Zheng Fan, Songbai Ji, Joseph Muenzer, Hongyu An, Weili Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Ogden type of hyperelastic constitutive law has recently emerged in modeling ventricular enlargement in hydrocephalic brain with finite element method, but this material property for brain tissue has not been investigated in a patient-specific setting in hydrocephalus. Consequently, the accuracy of the simulated ventricular enlargement using this hyperelastic tissue property remains unknown. In this study, we evaluated this brain material model in four patients with communicating hydrocephalus under a small trans-mantle pressure difference (TPMD) between brain ventricle and subarachnoid space (<1mmHg). Based upon changes in ventricular geometries obtained with sequential MRI, we found that this hyper-elastic model has a great flexibility and accuracy in modeling ventricular enlargement (with errors less than 1mm). Our study supports the utility of this hyperelastic constitutive law for future hydrocephalus modeling and suggests that the observed ventricular enlargement in these patients may be caused by a slight increase in TMPD.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings
Pages291-298
Number of pages8
EditionPART 3
DOIs
StatePublished - 2013
Event16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013 - Nagoya, Japan
Duration: Sep 22 2013Sep 26 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume8151 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013
Country/TerritoryJapan
CityNagoya
Period09/22/1309/26/13

Keywords

  • Brain finite element modeling
  • Brain mechanics
  • Finite element analysis
  • Hydrocephalus
  • Hyper-elastic brain modeling
  • Ventricular enlargement

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