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Proceedings Paper

Incorporation of medical image data in finite element models to track strain in soft tissues
Author(s): Jeffrey A. Weiss; Richard D. Rabbitt; Anton E. Bowden; Bradley N. Maker
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Paper Abstract

A new method has been developed to extract tissue strain from a sequence of two or more medical images. This was achieved by deforming a finite element (FE) model of the tissue under loads derived from the spatial differences between two sets of image data. One image data set deforms with the tissue, while the other remains stationary. The final configuration aligns the two sets of image data. The method accounts for convection of material points, modification of the Lagrangian material properties, and probabilistic features of the sensor. A FE model of the tissue must be constructed and assigned material properties. Image data are assigned to the model tissue such that the reference configuration of the FE model corresponds to one image. The image data is subject to change during the deformation. A nonlinear solution method determines the material configuration that minimizes the difference between the deformed image (deformed template) and the experimentally observed image (target image). In many cases the image data provide powerful constraints which allow estimation of material deformation even in the absence of known loads and/or boundary conditions. The method has been applied to estimate the motion and distribution of strain using MR and CT data.

Paper Details

Date Published: 13 May 1998
PDF: 8 pages
Proc. SPIE 3254, Laser-Tissue Interaction IX, (13 May 1998); doi: 10.1117/12.308199
Show Author Affiliations
Jeffrey A. Weiss, The Orthopedic Specialty Hospital and Univ. of Utah (United States)
Richard D. Rabbitt, Univ. of Utah (United States)
Anton E. Bowden, Univ. of Utah (United States)
Bradley N. Maker, Livermore Software Technology Corp. (United States)


Published in SPIE Proceedings Vol. 3254:
Laser-Tissue Interaction IX
Steven L. Jacques; Jeff Lotz, Editor(s)

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