Methods for Modeling and Predicting Mechanical Deformations of the Breast Under External Perturbations (original) (raw)
Abstract
Currently, High Field (1.5T) Superconducting MR imaging does not allow live guidance during needle breast procedures, which allow only to calculate approximately the location of a cancerous tumor in the patient breast before inserting the needle. It can then become relatively uncertain that the tissue specimen removed during the biopsy actually belongs to the lesion of interest. A new method for guiding clinical breast biopsy is presented, based on a deformable finite element model of the breast. The geometry of the model is constructed from MR data, and its mechanical properties are modeled using a non-linear material model. This method allows imaging the breast without or with mild compression before the procedure, then compressing the breast and using the finite element model to predict the tumor’s position during the procedure in a total time of less than a half-hour.
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References
- Orel SG, Schnall MD et al.: MR Imaging-guided Localization and Biopsy of Breast Lesions: Initial Experience. Radiology, Vol. 193 (1994) 97–102
Google Scholar - Azar FS, Metaxas DN, Schnall MD: A Finite Element Model of the Breast for Predicting Mechanical Deformations during Biopsy Procedures. IEEE Workshop, Mathematical Methods in Biomedical Image Analysis (2000) 38–45
Google Scholar - Azar FS, Metaxas DN, Schnall MD: A Deformable Finite Element Model of the Breast for Predicting Mechanical Deformations under External Perturbations. J. Acad. Radiology (2001)
Google Scholar - Azar FS, Metaxas DN, Miller RT, Schnall MD: Methods for Predicting Mechanical Deformations in the Breast during Clinical Breast Biopsy. 26th IEEE Annual N.E. BioEngineering Conference (2000)
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Authors and Affiliations
- Dept. of BioEngineering, University of Pennsylvania, Pennsylvania, USA
Fred S. Azar - Dept. of Computer Science, University of Pennsylvania, Pennsylvania, USA
Dimitris N. Metaxas - Dept of Radiology, University of Pennsylvania, Pennsylvania, USA
Mitchell D. Schnall
Authors
- Fred S. Azar
- Dimitris N. Metaxas
- Mitchell D. Schnall
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Editors and Affiliations
- Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
Wiro J. Niessen & Max A. Viergever &
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© 2001 Springer-Verlag Berlin Heidelberg
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Azar, F.S., Metaxas, D.N., Schnall, M.D. (2001). Methods for Modeling and Predicting Mechanical Deformations of the Breast Under External Perturbations. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3\_189
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- DOI: https://doi.org/10.1007/3-540-45468-3\_189
- Published: 05 October 2001
- Publisher Name: Springer, Berlin, Heidelberg
- Print ISBN: 978-3-540-42697-4
- Online ISBN: 978-3-540-45468-7
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