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Proceedings Paper

Conspicuous spatial frequency features in mammograms using a mixed-effects model
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Paper Abstract

We derive a general random-effects model to study the differences in spatial frequency features across class-type (true positive (TP) or true negative (TN) or False Positive (FP)), a sample of 40 mammogram cases, and 9 readers. We derive a measure of feature conspicuity or salience using visually inspired spatial frequency filters and mammogram regions of interest derived from eye-position data. Repeated-measures ANOVA is performed on the salient features obtained from all cases. We hypothesize that statistically significant differences in the average salience measure (D-score) are seen across both class-types and cases. We believe this to be useful for determining the similarity between images in training and testing sets used in CADx algorithm development or for a priori determination of test set difficulty. Further, we hypothesize that our salience measure is useful for distinguishing the spatial frequency bands most relied upon to distinguish true negative and true positive responses. This is useful in discerning the "bottoms-up" cues used to direct the point of gaze during mammogram inspection. These results indicate that our salience measure is useful as an indicator of image similarity and for separating TP & TN regions of interest.

Paper Details

Date Published: 6 April 2005
PDF: 11 pages
Proc. SPIE 5749, Medical Imaging 2005: Image Perception, Observer Performance, and Technology Assessment, (6 April 2005); doi: 10.1117/12.596067
Show Author Affiliations
Philip Perconti, The George Washington Univ. (United States)
Murray H. Loew, The George Washington Univ. (United States)


Published in SPIE Proceedings Vol. 5749:
Medical Imaging 2005: Image Perception, Observer Performance, and Technology Assessment
Miguel P. Eckstein; Yulei Jiang, Editor(s)

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