A method for estimating patient specific parameters for simulation of tissue deformation by finite element analysis

Ken'ichi Morooka, Shuji Sonoki, Ryo Kurazume, Tsutomu Hasegawa

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

Abstract

This paper proposes a method for estimating patient-specific material parameters used in the finite element analysis which simulates soft tissue deformation. The estimation of suitable material parameters for a patient is important for a navigation system for endoscopic surgery. At first, many data of soft tissue deformation are generated by changing the material parameters. Next, using Principle Component Analysis, each data with high dimensional is converted into the lower vector. The relationship between the material parameter and the deformation is found in the lower potential space.

Original languageEnglish
Title of host publicationNatural and Artificial Models in Computation and Biology - 5th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2013, Proceedings
Pages113-120
Number of pages8
EditionPART 1
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event5th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2013 - Mallorca, Spain
Duration: Jun 10 2013Jun 14 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume7930 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2013
Country/TerritorySpain
CityMallorca
Period6/10/136/14/13

Keywords

  • FE analysis
  • minimally invasive surgery
  • patient specific parameter
  • surgical navigation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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