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Proceedings Paper

Towards visual-search model observers for mass detection in breast tomosynthesis
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Paper Abstract

We are investigating human-observer models that perform clinically realistic detection and localization tasks as a means of making reliable assessments of digital breast tomosynthesis images. The channelized non-prewhitening (CNPW) observer uses the background known exactly task for localization and detection. Visual-search observer models attempt to replicate the search patterns of trained radiologists. The visual-search observer described in this paper utilizes a two-phase approach, with an initial holistic search followed by directed analysis and decision making. Gradient template matching is used for the holistic search, and the CNPW observer is used for analysis and decision making. Spherical masses were embedded into anthropomorphic breast phantoms, and simulated projections were made using ray-tracing and a serial cascade model. A localization ROC study was performed on these images using the visual-search model observer and the CNPW observer. Observer performance from the two computer observers was compared to human observer performance. The visual-search observer was able to produce area under the LROC curve values similar to those from human observers; however, more research is needed to increase the robustness of the algorithm.

Paper Details

Date Published: 21 March 2013
PDF: 9 pages
Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86680X (21 March 2013); doi: 10.1117/12.2008503
Show Author Affiliations
Beverly A. Lau, Univ. of Houston (United States)
Mini Das, Univ. of Houston (United States)
Howard C. Gifford, Univ. of Houston (United States)


Published in SPIE Proceedings Vol. 8668:
Medical Imaging 2013: Physics of Medical Imaging
Robert M. Nishikawa; Bruce R. Whiting; Christoph Hoeschen, Editor(s)

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