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Proceedings Paper

Determining material properties of the breast for image-guided surgery
Author(s): Timothy J. Carter; Christine Tanner; David J. Hawkes
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Paper Abstract

We have previously proposed a system for image-guided breast surgery that compensates for the deformation of the breast during patient set-up. Since breast surgery is performed with the patient positioned supine, but MR imaging is performed with the patient positioned prone, a large soft tissue deformation must be accounted for. A biomechanical model can help to constrain the associated registrations. However the necessary material properties for breast tissue under such strains are not available in the literature. This paper describes a method to determine these properties. We first show that the stress-free or 'reference' state of an object can be approximated by submerging it in liquid of a similar density. MR images of the breast submerged in water and in a pendulous prone position are acquired. An intensity-based non-rigid image registration algorithm is used to establish point-by-point correspondence between these images. A finite element model of the breast is then constructed from the submerged images and the deformation to free-pendulous is simulated. The material properties for which the model deformation best fits the observed deformation are determined. Assuming neo-Hookean material properties, the initial shear moduli of fibroglandular and adipose tissue are found to be 0.4 kPa and 0.3 kPa respectively.

Paper Details

Date Published: 13 March 2009
PDF: 10 pages
Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 726124 (13 March 2009); doi: 10.1117/12.810092
Show Author Affiliations
Timothy J. Carter, Ctr. for Medical Image Computing, Univ. College London (United Kingdom)
Christine Tanner, Ctr. for Medical Image Computing, Univ. College London (United Kingdom)
David J. Hawkes, Ctr. for Medical Image Computing, Univ. College London (United Kingdom)


Published in SPIE Proceedings Vol. 7261:
Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kenneth H. Wong, Editor(s)

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