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Proceedings Paper

Modality-independent elastography: preliminary results
Author(s): Chad W. Washington; Michael I. Miga
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Paper Abstract

The correlation between the stiffness and health of tissue is an accepted form of organ disease assessment. As a result, there has been a significant amount of interest in developing methods to image elasticity parameters (i.e. elastography). This work presents a technique that frames the elastography imaging problem within a non-rigid iterative image registration approach. Through the use of finite element modeling and mutual information, material properties are varied in order to optimize the registration between a post-compressed image and a model-generated compressed image. The results shown here demonstrate the strong connection between image similarity and appropriate tissue parameters and the algorithm's ability to detect contrast in tissue stiffness. By casting elasticity image reconstruction within the context of image similarity, the method is generalized to all forms of medical imaging.

Paper Details

Date Published: 12 May 2004
PDF: 8 pages
Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); doi: 10.1117/12.534638
Show Author Affiliations
Chad W. Washington, Vanderbilt Univ. (United States)
Michael I. Miga, Vanderbilt Univ. (United States)

Published in SPIE Proceedings Vol. 5370:
Medical Imaging 2004: Image Processing
J. Michael Fitzpatrick; Milan Sonka, Editor(s)

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