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Proceedings Paper

Lesion detectability in automated breast ultrasound
Author(s): Sara Bahramian; Keith Wear
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Paper Abstract

Automated Breast Ultrasound systems introduce a new ultrasound-imaging technology to address some of the drawbacks of the traditional handheld ultrasound. The detection performance of this new technology is studied. The lesion detectability performance is measured using Monte-Carlo simulation techniques for the observers of the synthesized images generated by the automated breast ultrasound systems. This performance is compared to detection performance of the observer when handheld ultrasound images are available. It is shown that resolution degradation in the synthesized images results in lower detection performance as compared to the handheld images scanning the same plane.

Paper Details

Date Published: 20 March 2014
PDF: 8 pages
Proc. SPIE 9040, Medical Imaging 2014: Ultrasonic Imaging and Tomography, 904008 (20 March 2014); doi: 10.1117/12.2043978
Show Author Affiliations
Sara Bahramian, Beckman Institute, Univ. of Illinois at Urbana-Champaign (United States)
Keith Wear, U.S. Food and Drug Administration (United States)


Published in SPIE Proceedings Vol. 9040:
Medical Imaging 2014: Ultrasonic Imaging and Tomography
Johan G. Bosch; Marvin M. Doyley, Editor(s)

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