NDLI: Breast cancer diagnosis based on ultrasound RF echo modeling and physician's level of confidence

Content Provider	IEEE Xplore Digital Library
Author	Alacam, B. Yazici, B. Bilgutay, N.
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. Eng., Drexel Univ., Philadelphia, PA, USA (Alacam, B.; Yazici, B.; Bilgutay, N.)
Abstract	A number of researchers have shown that the ultrasound RF echo from tissue exhibits (1/f ) /sup /spl beta// characteristics and developed tissue characterization methods based on the fractal parameter of the received signal. In this paper a new model for the received ultrasound RF data has been proposed, namely the fractional differencing auto regressive moving-average (FARMA) model, whose parameters were investigated for their ability to differentiate between benign and malignant tumors. Along with the FARMA model parameters, the patient's age and the radiologist's pre-biopsy level of suspicion (LOS) were used as additional features to increase the characterization performance. 120 in vivo B-scan images obtained from 90 patients were used during the modeling and estimation procedures. The area under the receiver operator characteristics (ROC) curve yields a value of 0.8723, with a confidence interval of [0.8512, 0.8945], at a significance level of 0.05. These results indicate that the proposed tissue characterization method can be used as a second opinion to aid the radiologist decision criteria.
Starting Page	1203
Ending Page	1206
File Size	371489
Page Count	4
File Format	PDF
ISBN	0780379225
DOI	10.1109/ULTSYM.2003.1293117
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Breast cancer Ultrasonic imaging Radio frequency Malignant tumors Speckle Ultrasonic transducers Parameter estimation Scattering RF signals In vivo
Content Type	Text
Resource Type	Article

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