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Predicting Tumour Location by Simulating Large Deformations of the Breast Using a 3D Finite Element Model and Nonlinear Elasticity

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Abstract

Two of the major imaging modalities used to detect and monitor breast cancer are (contrast enhanced) magnetic resonance (MR) imaging and mammography. Image fusion, including accurate registration between MR images and mammograms, or between CC and MLO mammograms, is increasingly key to patient management (for example in the multidisciplinary meeting), but registration is extremely difficult because the breast shape varies massively between the modalities, due both to the different postures of the patient for the two modalities and to the fact that the breast is forcibly compressed during mammography. In this paper, we develop a 3D, patient-specific, anatomically accurate, finite element model of the breast using MR images, which can be deformed in a physically realistic manner using nonlinear elasticity theory to simulate the breast during mammography.

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Author information

Authors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, Oxford, UK

    Pras Pathmanathan, David Gavaghan & Jonathan Whiteley

  2. Department of Engineering Science, Oxford University, Parks Road, Oxford, UK

    Sir Michael Brady

  3. BioEngineering Institute, Auckland University, Auckland, New Zealand

    Martyn Nash, Poul Nielsen & Vijay Rajagopal

Authors
  1. Pras Pathmanathan

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  2. David Gavaghan

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  3. Jonathan Whiteley

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  4. Sir Michael Brady

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  5. Martyn Nash

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  6. Poul Nielsen

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  7. Vijay Rajagopal

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Editor information

Editors and Affiliations

  1. Visages U746, INSERM-INRIA-CNRS-Univ-Rennes1, IRISA, Rennes, France

    Christian Barillot

  2. Department of Radiology, University of Washington, 98195-6004, Seattle, WA, USA

    David R. Haynor

  3. Project VisAGeS, IRISA - INRIA - INSERM, IRISA campus Beaulieu, 35042, Rennes Cedex, France

    Pierre Hellier

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© 2004 Springer-Verlag Berlin Heidelberg

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Pathmanathan, P.et al. (2004). Predicting Tumour Location by Simulating Large Deformations of the Breast Using a 3D Finite Element Model and Nonlinear Elasticity. In: Barillot, C., Haynor, D.R., Hellier, P. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004. MICCAI 2004. Lecture Notes in Computer Science, vol 3217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30136-3_28

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