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:10.1117/12.949535

25 November 1985 Analysis Of Ultrasound Image Texture Via Generalized Rician Statistics

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

Proceedings Volume 0556, Intl Conf on Speckle; (1985) https://doi.org/10.1117/12.949535
Event: 29th Annual Technical Symposium, 1985, San Diego, United States

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 three-dimensional 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.

Citation Download Citation

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", Proc. SPIE 0556, Intl Conf on Speckle, (25 November 1985); https://doi.org/10.1117/12.949535

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