Paper
9 May 2002 Comparison of biomechanical breast models: a case study
Christine Tanner, Andreas Degenhard, Julia Anne Schnabel, Andrew D. Castellano-Smith, Carmel Hayes, Luke I. Sonoda, Martin O. Leach, D. Rodney Hose, Derek L.G. Hill, David John Hawkes
Author Affiliations +
Abstract
We present initial results from evaluating the accuracy with which biomechanical breast models based on finite element methods can predict the displacements of tissue within the breast. We investigate the influence of different tissue elasticity values, Poisson's ratios, boundary conditions, finite element solvers and mesh resolutions on one data set. MR images were acquired before and after compressing a volunteer's breast gently. These images were aligned using a 3D non-rigid registration algorithm. The boundary conditions were derived from the result of the non-rigid registration or by assuming no patient motion at the deep or medial side. Three linear and two non-linear elastic material models were tested. The accuracy of the BBMs was assessed by the Euclidean distance of twelve corresponding anatomical landmarks. Overall, none of the tested material models was obviously superior to another regarding the set of investigated values. A major average error increase was noted for partially inaccurate boundary conditions at high Poisson's ratios due to introduced volume change. Maximal errors remained, however, high for low Poisson's ratio due to the landmarks closeness to the inaccurate boundary conditions. The choice of finite element solver or mesh resolution had almost no effect on the performance outcome.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christine Tanner, Andreas Degenhard, Julia Anne Schnabel, Andrew D. Castellano-Smith, Carmel Hayes, Luke I. Sonoda, Martin O. Leach, D. Rodney Hose, Derek L.G. Hill, and David John Hawkes "Comparison of biomechanical breast models: a case study", Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); https://doi.org/10.1117/12.467155
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Cited by 32 scholarly publications.
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KEYWORDS
Breast

Tissues

Finite element methods

3D modeling

Image registration

3D image processing

Image compression

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