Multimodal imaging of the breast to retrieve the reference state in the absence of gravity using finite element modeling

Remi Salmon, Thanh Chau Nguyen, Linda W. Moore, Barbara L. Bass, Marc Garbey

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

5 Scopus citations

Abstract

We introduce in this work a new method of retrieving the reference state of the breast in a stress-free configuration and estimating at the same time the elasticity of the breast tissues by combining MRI and surface imaging data and using finite element analysis. This reference state of the breast is particularly useful in predicting the cosmetic outcome and the healing process of breast cancer surgery, and breast conserving therapy in particular.

Original languageEnglish (US)
Title of host publicationInnovation in Medicine and Healthcare 2017 -
Subtitle of host publicationProceedings of the 5th KES International Conference on Innovation in Medicine and Healthcare, KES-InMed 2017
EditorsRobert J. Howlett, Lakhmi C. Jain, Yen-Wei Chen, Satoshi Tanaka
PublisherSpringer Science and Business Media Deutschland GmbH
Pages254-263
Number of pages10
ISBN (Print)9783319593968
DOIs
StatePublished - 2018
Event5th KES International Conference on Innovation in Medicine and Healthcare, InMed-17 2017 - Algarve, Portugal
Duration: Jun 21 2017Jun 23 2017

Publication series

NameSmart Innovation, Systems and Technologies
Volume71
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Other

Other5th KES International Conference on Innovation in Medicine and Healthcare, InMed-17 2017
CountryPortugal
CityAlgarve
Period6/21/176/23/17

Keywords

  • Breast cancer
  • Breast conserving therapy
  • Finite element analysis
  • Multiscale model
  • Reference state

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

Fingerprint

Dive into the research topics of 'Multimodal imaging of the breast to retrieve the reference state in the absence of gravity using finite element modeling'. Together they form a unique fingerprint.

Cite this