Material properties estimation of layered soft tissue based on MR observation and iterative FE simulation

Mitsunori Tada, Noritaka Nagai, Takashi Maeno

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

6 Citations (Scopus)

Abstract

In order to calculate deformation of soft tissue under arbitrary loading conditions, we have to take both non-linear material characteristics and subcutaneous structures into considerations. The estimation method of material properties presented in this paper accounts for these issues. It employs a compression test inside MRI in order to visualize deformation of hypodermic layered structure of living tissue, and an FE model of the compressed tissue in which non-linear material model is assigned. The FE analysis is iterated with updated material constant until the difference between the displacement field observed from MR images and calculated by FEM is minimized. The presented method has been applied to a 3-layered silicon rubber phantom. The results show the excellent performance of our method. The accuracy of the estimation is better than 15 %, and the reproducibility of the deformation is better than 0.4 mm even for an FE analysis with different boundary condition.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages633-640
Number of pages8
Volume3750 LNCS
DOIs
Publication statusPublished - 2005
Event8th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005 - Palm Springs, CA, United States
Duration: 2005 Oct 262005 Oct 29

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3750 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other8th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005
CountryUnited States
CityPalm Springs, CA
Period05/10/2605/10/29

Fingerprint

Soft Tissue
Material Properties
Materials properties
Observation
Tissue
Simulation
Nonlinear Dynamics
Rubber
Reproducibility
Silicon
Phantom
Magnetic resonance imaging
Compression
Boundary conditions
Finite element method
Calculate
Arbitrary
Model

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Tada, M., Nagai, N., & Maeno, T. (2005). Material properties estimation of layered soft tissue based on MR observation and iterative FE simulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3750 LNCS, pp. 633-640). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3750 LNCS). https://doi.org/10.1007/11566489_78

Material properties estimation of layered soft tissue based on MR observation and iterative FE simulation. / Tada, Mitsunori; Nagai, Noritaka; Maeno, Takashi.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3750 LNCS 2005. p. 633-640 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3750 LNCS).

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

Tada, M, Nagai, N & Maeno, T 2005, Material properties estimation of layered soft tissue based on MR observation and iterative FE simulation. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 3750 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3750 LNCS, pp. 633-640, 8th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, Palm Springs, CA, United States, 05/10/26. https://doi.org/10.1007/11566489_78
Tada M, Nagai N, Maeno T. Material properties estimation of layered soft tissue based on MR observation and iterative FE simulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3750 LNCS. 2005. p. 633-640. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11566489_78
Tada, Mitsunori ; Nagai, Noritaka ; Maeno, Takashi. / Material properties estimation of layered soft tissue based on MR observation and iterative FE simulation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3750 LNCS 2005. pp. 633-640 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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