Paper
13 May 1998 Incorporation of medical image data in finite element models to track strain in soft tissues
Jeffrey A. Weiss, Richard D. Rabbitt, Anton E. Bowden, Bradley N. Maker
Author Affiliations +
Proceedings Volume 3254, Laser-Tissue Interaction IX; (1998) https://doi.org/10.1117/12.308199
Event: BiOS '98 International Biomedical Optics Symposium, 1998, San Jose, CA, United States
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeffrey A. Weiss, Richard D. Rabbitt, Anton E. Bowden, and Bradley N. Maker "Incorporation of medical image data in finite element models to track strain in soft tissues", Proc. SPIE 3254, Laser-Tissue Interaction IX, (13 May 1998); https://doi.org/10.1117/12.308199
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Cited by 19 scholarly publications.
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KEYWORDS
Data modeling

Tissues

Medical imaging

Biological research

Finite element methods

Image compression

Mechanics

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