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Proceedings Paper

Multiple resolution Bayesian segmentation of ultrasound images
Author(s): Edward A. Ashton; Kevin J. Parker
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Paper Abstract

We propose a novel method for obtaining the maximum a posteriori (MAP) probabilistic segmentation of speckle-laden ultrasound images. Our technique is multiple-resolution based, and relies on the conversion of speckle images with Rayleigh statistics to subsampled images with Gaussian statistics. This conversion reduces computation time, as well as allowing accurate parameter estimation. Results appear to provide improvements over previous techniques, in terms of both low-resolution detail and accuracy.

Paper Details

Date Published: 9 September 1994
PDF: 12 pages
Proc. SPIE 2359, Visualization in Biomedical Computing 1994, (9 September 1994); doi: 10.1117/12.185194
Show Author Affiliations
Edward A. Ashton, Univ. of Rochester (United States)
Kevin J. Parker, Univ. of Rochester (United States)

Published in SPIE Proceedings Vol. 2359:
Visualization in Biomedical Computing 1994
Richard A. Robb, Editor(s)

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