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Proceedings Paper

Evaluating the realism of synthetically generated mammographic lesions: an observer study
Author(s): Michael Berks; David Barbosa da Silva; Caroline Boggis; Sue Astley
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Paper Abstract

A method has been developed for generating synthetic masses that exhibit the appearance of real breast cancers in mammograms. To be clinically useful, the synthetic masses must appear sufficiently realistic, even to expert mammogram readers. This paper presents the results of an observer study in which 10 expert mammogram readers at the Nightingale Centre, Manchester attempted to distinguish between real and synthetically generated masses. Each reader rated a set of 30 real and 30 synthetics masses on a scale ranging from "definitely real" to "definitely synthetic". ROC curves were fitted to their responses and the area-under-curve (AUC) used to quantify the ability of a reader to identify synthetic masses. The mean AUC was 0.70±0.09, showing the readers were able to identify synthetic masses at a rate statistically better than chance and suggesting that further improvements must be made to the mass synthesis method. Analysis of individual AUC scores showed reader performance was not affected by job type (radiologist versus breast physician/radiographer) or experience.

Paper Details

Date Published: 24 February 2010
PDF: 11 pages
Proc. SPIE 7627, Medical Imaging 2010: Image Perception, Observer Performance, and Technology Assessment, 762704 (24 February 2010); doi: 10.1117/12.845543
Show Author Affiliations
Michael Berks, The Univ. of Manchester (United Kingdom)
David Barbosa da Silva, The Univ. of Manchester (United Kingdom)
Caroline Boggis, Wythenshawe Hospital (United Kingdom)
Sue Astley, The Univ. of Manchester (United Kingdom)


Published in SPIE Proceedings Vol. 7627:
Medical Imaging 2010: Image Perception, Observer Performance, and Technology Assessment
David J. Manning; Craig K. Abbey, Editor(s)

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