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Proceedings Paper

Breast tissue characterization based on fractional differencing model of ultrasonic RF echo
Author(s): Burak Alacam; Birsen Yazici; Nihat M. Bilgutay
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Paper Abstract

A number of researchers have previously shown that the ultrasound RF echo of tissue exhibits (1/f) 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.

Paper Details

Date Published: 23 May 2003
PDF: 11 pages
Proc. SPIE 5035, Medical Imaging 2003: Ultrasonic Imaging and Signal Processing, (23 May 2003); doi: 10.1117/12.479929
Show Author Affiliations
Burak Alacam, Drexel Univ. (United States)
Birsen Yazici, Drexel Univ. (United States)
Nihat M. Bilgutay, Drexel Univ. (United States)

Published in SPIE Proceedings Vol. 5035:
Medical Imaging 2003: Ultrasonic Imaging and Signal Processing
William F. Walker; Michael F. Insana, Editor(s)

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