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Proceedings Paper

The effect of novel prompts upon radiologists’ visual search of mammograms
Author(s): James W. Hatton; David S. Wooding; Alastair G. Gale; Hazel J. Scott
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Paper Abstract

Prompting is utilised in CAD systems to draw attention to regions of potential abnormality within screening mammograms. The benefit of such systems is under debate. Our previous research found that radiologists’ visual search patterns were significantly altered when mammographic prompts were displayed. Visual attention concentrated upon prompted areas, with significantly less attention to unprompted regions. Additionally, prompts caused a reduction in the amount of bi-lateral visual comparisons between the two breasts. Current CAD systems use a variety of prompts (e.g. circle and triangle) that appear incongruous to the mammogram and may inadvertently detract attention from unprompted regions. The aim of this experiment was to determine whether attentional focus would continue when using subtle prompts, without resulting in the insufficient search of unprompted areas. A series of paired medio lateral-oblique view mammographic cases were presented to participants on a monitor. Images were presented as "unprompted" and "prompted"- using various methods to highlight potentially abnormal areas. These included typical prompt shapes and also more novel prompts (e.g. altered brightness and colour). Participants were instructed to scan the images as they normally would when screening for abnormalities and to indicate their confidence that an abnormality was present, using a five-point scale. Eye movements were recorded during the task. Results demonstrated that visual attention was drawn to prompted regions. However, the potentially negative influence of prompts upon normal visual search patterns within mammograms was found to be less pronounced in conditions containing novel prompts. By comparing differing prompts during screening it was possible to establish their consequent impact upon visual search patterns. This research contributes to the establishment of optimal prompt displays in soft copy systems.

Paper Details

Date Published: 4 May 2004
PDF: 8 pages
Proc. SPIE 5372, Medical Imaging 2004: Image Perception, Observer Performance, and Technology Assessment, (4 May 2004); doi: 10.1117/12.540430
Show Author Affiliations
James W. Hatton, Univ. of Derby (United Kingdom)
David S. Wooding, Univ. of Derby (United Kingdom)
Alastair G. Gale, Univ. of Derby (United Kingdom)
Hazel J. Scott, Univ. of Derby (United Kingdom)

Published in SPIE Proceedings Vol. 5372:
Medical Imaging 2004: Image Perception, Observer Performance, and Technology Assessment
Dev P. Chakraborty; Miguel P. Eckstein, Editor(s)

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