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Proceedings Paper

Fractal analysis of radiologists' visual scanning pattern in screening mammography
Author(s): Folami T. Alamudun; Hong-Jun Yoon; Kathy Hudson; Garnetta Morin-Ducote; Georgia Tourassi
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Paper Abstract

Several researchers have investigated radiologists’ visual scanning patterns with respect to features such as total time examining a case, time to initially hit true lesions, number of hits, etc. The purpose of this study was to examine the complexity of the radiologists’ visual scanning pattern when viewing 4-view mammographic cases, as they typically do in clinical practice. Gaze data were collected from 10 readers (3 breast imaging experts and 7 radiology residents) while reviewing 100 screening mammograms (24 normal, 26 benign, 50 malignant). The radiologists’ scanpaths across the 4 mammographic views were mapped to a single 2-D image plane. Then, fractal analysis was applied on the composite 4- view scanpaths. For each case, the complexity of each radiologist’s scanpath was measured using fractal dimension estimated with the box counting method. The association between the fractal dimension of the radiologists’ visual scanpath, case pathology, case density, and radiologist experience was evaluated using fixed effects ANOVA. ANOVA showed that the complexity of the radiologists’ visual search pattern in screening mammography is dependent on case specific attributes (breast parenchyma density and case pathology) as well as on reader attributes, namely experience level. Visual scanning patterns are significantly different for benign and malignant cases than for normal cases. There is also substantial inter-observer variability which cannot be explained only by experience level.

Paper Details

Date Published: 17 March 2015
PDF: 8 pages
Proc. SPIE 9416, Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment, 94160T (17 March 2015); doi: 10.1117/12.2082972
Show Author Affiliations
Folami T. Alamudun, Texas A&M Univ. (United States)
Hong-Jun Yoon, Oak Ridge National Lab. (United States)
Kathy Hudson, Univ. of Tennessee Medical Ctr. at Knoxville (United States)
Garnetta Morin-Ducote, Univ. of Tennessee Medical Ctr. at Knoxville (United States)
Georgia Tourassi, Oak Ridge National Lab. (United States)


Published in SPIE Proceedings Vol. 9416:
Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment
Claudia R. Mello-Thoms; Matthew A. Kupinski, Editor(s)

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