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Proceedings Paper

Nature of expertise in searching mammograms for breast masses
Author(s): Calvin F. Nodine; Harold L. Kundel; Sherri C. Lauver; Lawrence C. Toto
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Paper Abstract

Eye position of observes representing four levels of training and experience: mammographers; mammography residents; mammographic technologists; and, laypersons were compared to a random search model as they examined a set of nine two-view digital mammogram pairs for breast masses. Analysis of time-to-hit data revealed that mammographers' training and experience combined to produce the most efficient search patterns as measured by the fastest search times to detect breast masses on two views. Scanning patterns of mammography residents and mammographic technologists were less efficient due to wider dispersion of visual attention that was divided between potential breast masses and perturbations in breast parenchyma. Because laypersons lacked training in radiology, bright blobs in the breast image were considered to be intuitively valid target candidates, and these features distracted search by capturing visual attention.

Paper Details

Date Published: 27 March 1996
PDF: 6 pages
Proc. SPIE 2712, Medical Imaging 1996: Image Perception, (27 March 1996); doi: 10.1117/12.236864
Show Author Affiliations
Calvin F. Nodine, Univ. of Pennsylvania Medical Ctr. (United States)
Harold L. Kundel, Univ. of Pennsylvania Medical Ctr. (United States)
Sherri C. Lauver, Univ. of Pennsylvania Medical Ctr. (United States)
Lawrence C. Toto, Univ. of Pennsylvania Medical Ctr. (United States)

Published in SPIE Proceedings Vol. 2712:
Medical Imaging 1996: Image Perception
Harold L. Kundel, Editor(s)

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