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Proceedings Paper

Novel estimators for elastography
Author(s): Sheikh Kaisar Alam; Frederick L. Lizzi; Ernest Joseph Feleppa; T. Varghese
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Paper Abstract

In conventional elastography, strains are estimated by computing gradient of estimated displacement. However, gradient-based algorithms are susceptible to noise. We have developed two new strain estimators to overcome the common limitations of elastography. The first estimator is based on a frequency-domain formulation; it estimates local strain by maximizing the correlation between the spectra of pre- and post-compression echo signals by iteratively frequency- scaling the latter. We discuss a variation of this algorithm that may be computationally more efficient. The second estimator is based on the observation that an extremely stiff region will undergo virtually no strain when compressed, and will exhibit quasi-rigid body motion. As a result, an area with high similarity between the pre- and post-compression signals indicates low strain, and an area with low similarity indicates large strain. We use normalized 2D correlation function to estimate this similarity. This method offers significant advantages for detecting rigid tissues in the presence of large, irregular, non-axial motion. Both the estimators exhibited promising results in simulation and experiments.

Paper Details

Date Published: 30 May 2001
PDF: 12 pages
Proc. SPIE 4325, Medical Imaging 2001: Ultrasonic Imaging and Signal Processing, (30 May 2001); doi: 10.1117/12.428207
Show Author Affiliations
Sheikh Kaisar Alam, Riverside Research Institute (United States)
Frederick L. Lizzi, Riverside Research Institute (United States)
Ernest Joseph Feleppa, Riverside Research Institute (United States)
T. Varghese, Univ. of Wisconsin/Madison (United States)

Published in SPIE Proceedings Vol. 4325:
Medical Imaging 2001: Ultrasonic Imaging and Signal Processing
Michael F. Insana; K. Kirk Shung, Editor(s)

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