Quantitative ultrasound tissue characterization using texture and cepstral features

Rashidus S. Mia; Murray H. Loew; Keith A. Wear; Robert F. Wagner; Brian S. Garra

doi:10.1117/12.310890

24 June 1998 Quantitative ultrasound tissue characterization using texture and cepstral features

Rashidus S. Mia, Murray H. Loew, Keith A. Wear, Robert F. Wagner, Brian S. Garra

Proceedings Volume 3338, Medical Imaging 1998: Image Processing; (1998) https://doi.org/10.1117/12.310890
Event: Medical Imaging '98, 1998, San Diego, CA, United States

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.

Citation Download Citation

Rashidus S. Mia, Murray H. Loew, Keith A. Wear, Robert F. Wagner, and Brian S. Garra "Quantitative ultrasound tissue characterization using texture and cepstral features", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310890

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