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Bayesian 2-D deconvolution: a model for diffuse ultrasound scattering.

作者信息

Husby O, Lie T, Langø T, Hokland J, Rue H

机构信息

Department of Mathematical Sciences, NTNU, N-7491 Trondheim, Norway.

出版信息

IEEE Trans Ultrason Ferroelectr Freq Control. 2001 Jan;48(1):121-30. doi: 10.1109/58.895918.

DOI:10.1109/58.895918
PMID:11367779
Abstract

Observed medical ultrasound images are degraded representations of the true acoustic tissue reflectance. The degradation is due to blur and speckle and significantly reduces the diagnostic value of the images. To remove both blur and speckle, we have developed a new statistical model for diffuse scattering in 2-D ultrasound radio frequency images, incorporating both spatial smoothness constraints and a physical model for diffuse scattering. The modeling approach is Bayesian in nature, and we use Markov chain Monte Carlo methods to obtain the restorations. The results from restorations of some real and simulated radio frequency ultrasound images are presented and compared with results produced by Wiener filtering.

摘要

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