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Multimodal Imaging of the Breast to Retrieve the Reference State in the Absence of Gravity Using Finite Element Modeling

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Innovation in Medicine and Healthcare 2017 (KES-InMed 2018 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 71))

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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.

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Acknowledgements

The authors would like to thank the Department of Surgery at the Houston Methodist hospital and the patients enrolled in the clinical trial, the Horizon 2020 grant Desiree (Award# 690238) and all of its partners.

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Authors and Affiliations

  1. Center for Computational Surgery, Houston Methodist Research Institute, Houston, TX, USA

    Remi Salmon, Thanh Chau Nguyen & Marc Garbey

  2. Center for Advanced Computing and Data Systems, University of Houston, Houston, TX, USA

    Thanh Chau Nguyen

  3. Department of Surgery, Houston Methodist, Houston, TX, USA

    Linda W. Moore & Barbara L. Bass

Authors
  1. Remi Salmon
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  2. Thanh Chau Nguyen
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  3. Linda W. Moore
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  4. Barbara L. Bass
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  5. Marc Garbey
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Corresponding author

Correspondence to Remi Salmon .

Editor information

Editors and Affiliations

  1. College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga, Japan

    Yen-Wei Chen

  2. Ritsumeikan University, Kusatsu, Shiga, Japan

    Satoshi Tanaka

  3. KES International, Bournemouth University, Poole, Dorset, United Kingdom

    Robert J. Howlett

  4. University of Canberra, Canberra, Aust Capital Terr, Australia

    Lakhmi C. Jain

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Salmon, R., Nguyen, T.C., Moore, L.W., Bass, B.L., Garbey, M. (2018). Multimodal Imaging of the Breast to Retrieve the Reference State in the Absence of Gravity Using Finite Element Modeling. In: Chen, YW., Tanaka, S., Howlett, R., Jain, L. (eds) Innovation in Medicine and Healthcare 2017. KES-InMed 2018 2017. Smart Innovation, Systems and Technologies, vol 71. Springer, Cham. https://doi.org/10.1007/978-3-319-59397-5_27

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  • DOI: https://doi.org/10.1007/978-3-319-59397-5_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59396-8

  • Online ISBN: 978-3-319-59397-5

  • eBook Packages: EngineeringEngineering (R0)

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