Analysis Of Ultrasound Image Texture Via Generalized Rician Statistics

Michael F. Insana; Robert F. Wagner; Brian S. Garra; David G. Brown; Thomas H. Shawker

doi:10.1117/12.7973900

1 June 1986 Analysis Of Ultrasound Image Texture Via Generalized Rician Statistics

Michael F. Insana, Robert F. Wagner, Brian S. Garra, David G. Brown, Thomas H. Shawker

Author Affiliations +

Optical Engineering, Vol. 25, Issue 6, 256743 (June 1986). https://doi.org/10.1117/12.7973900

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.

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Michael F. Insana, Robert F. Wagner, Brian S. Garra, David G. Brown, and Thomas H. Shawker "Analysis Of Ultrasound Image Texture Via Generalized Rician Statistics," Optical Engineering 25(6), 256743 (1 June 1986). https://doi.org/10.1117/12.7973900

Published: 1 June 1986

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