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2004 | OriginalPaper | Buchkapitel

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

verfasst von : Pras Pathmanathan, David Gavaghan, Jonathan Whiteley, Sir Michael Brady, Martyn Nash, Poul Nielsen, Vijay Rajagopal

Erschienen in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004

Verlag: Springer Berlin Heidelberg

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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.

Metadaten
Titel
Predicting Tumour Location by Simulating Large Deformations of the Breast Using a 3D Finite Element Model and Nonlinear Elasticity
verfasst von
Pras Pathmanathan
David Gavaghan
Jonathan Whiteley
Sir Michael Brady
Martyn Nash
Poul Nielsen
Vijay Rajagopal
Copyright-Jahr
2004
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-540-30136-3_28

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