Breast tissue characterization based on fractional differencing model of ultrasonic RF echo

Burak Alacam; Birsen Yazici; Nihat M. Bilgutay

doi:10.1117/12.479929

23 May 2003 Breast tissue characterization based on fractional differencing model of ultrasonic RF echo

Burak Alacam, Birsen Yazici, Nihat M. Bilgutay

Proceedings Volume 5035, Medical Imaging 2003: Ultrasonic Imaging and Signal Processing; (2003) https://doi.org/10.1117/12.479929
Event: Medical Imaging 2003, 2003, San Diego, California, United States

Abstract

A number of researchers have previously shown that the ultrasound RF echo of tissue exhibits (1/f)^-β characteristics and developed tissue characterization methods based on the fractal parameter β. In this paper we propose Fractional Differencing Autoregressive Moving Average (FARMA) process for modeling RF ultrasound echo and develop breast tissue characterization method based on the FARMA model parameters. This model has been used to capture statistical self-similarity and long-range correlations in image textures, in wide ranging engineering and science applications, including communication network traffic. Here, we present estimation techniques to extract the model parameters, namely features, for classification purposes and tissue characterization. We show the performance of our tissue characterization procedure on several in vivo ultrasound breast images including benign and malignant tumors. The area of the receiver operator characteristics (ROC) based on 60 in vivo images yields a value of 0.79, which indicates that proposed tissue characterization method is comparable in performance with other successful methods reported in the literature.

Citation Download Citation

Burak Alacam, Birsen Yazici, and Nihat M. Bilgutay "Breast tissue characterization based on fractional differencing model of ultrasonic RF echo", Proc. SPIE 5035, Medical Imaging 2003: Ultrasonic Imaging and Signal Processing, (23 May 2003); https://doi.org/10.1117/12.479929

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