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Optical Engineering

Analysis Of Ultrasound Image Texture Via Generalized Rician Statistics
Author(s): Michael F. Insana; Robert F. Wagner; Brian S. Garra; David G. Brown; Thomas H. Shawker
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Paper Abstract

Tissue signatures are obtained from the first- and second-order statistics of ultrasonic B-scan texture. Laboratory measurements and early clinical results show that the image may be segmented to discriminate between different normal tissues and to detect abnormal conditions based on a multidimensional feature space. These features describe the intrinsic backscatter properties of the tissues imaged and may be used as the basis of an automatic tissue characterization algorithm.

Paper Details

Date Published: 1 June 1986
PDF: 6 pages
Opt. Eng. 25(6) 256743 doi: 10.1117/12.7973900
Published in: Optical Engineering Volume 25, Issue 6
Show Author Affiliations
Michael F. Insana, Food and Drug Administration (United States)
Robert F. Wagner, Food and Drug Administration (United States)
Brian S. Garra, National Institutes of Health (United States)
David G. Brown, Food and Drug Administration (United States)
Thomas H. Shawker, National Institutes of Health (United States)


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