Multiple resolution Bayesian segmentation of ultrasound images

Edward A. Ashton; Kevin J. Parker

doi:10.1117/12.185194

9 September 1994 Multiple resolution Bayesian segmentation of ultrasound images

Edward A. Ashton, Kevin J. Parker

Proceedings Volume 2359, Visualization in Biomedical Computing 1994; (1994) https://doi.org/10.1117/12.185194
Event: Visualization in Biomedical Computing 1994, 1994, Rochester, MN, United States

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.

Citation Download Citation

Edward A. Ashton and Kevin J. Parker "Multiple resolution Bayesian segmentation of ultrasound images", Proc. SPIE 2359, Visualization in Biomedical Computing 1994, (9 September 1994); https://doi.org/10.1117/12.185194

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