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