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Proceedings Paper

Quantitative ultrasound tissue characterization using texture and cepstral features
Author(s): Rashidus S. Mia; Murray H. Loew; Keith A. Wear; Robert F. Wagner; Brian S. Garra
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Paper Abstract

Various researchers have used texture analysis to perform ultrasound tissue characterization with mixed results. Others have used spectral parameters to classify tissue. Several groups have used a feature attributed to the mean scatterer spacing (MSS) as a discriminating feature for tissue classification. We have previously shown that the locations of peaks in the complex cepstrum (PCEP) provide a good estimate of MSS in phantom and simulation studies. In this work, we show that by combining PCEP with texture-based features, we are able to distinguish between normal and hepatitis patients with a high degree of accuracy.

Paper Details

Date Published: 24 June 1998
PDF: 9 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310890
Show Author Affiliations
Rashidus S. Mia, Institute for Medical Imaging and Image Analysis/George Washington Univ. (United States)
Murray H. Loew, Institute for Medical Imaging and Image Analysis/George Washington Univ. (United States)
Keith A. Wear, FDA Ctr. for Devices and Radiological Health (United States)
Robert F. Wagner, FDA Ctr. for Devices and Radiological Health (United States)
Brian S. Garra, Georgetown Univ. Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

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