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Proceedings Paper

On the impact of local image texture parameters on search and localization in digital breast imaging
Author(s): William H. Nisbett; Amareswararao Kavuri; Nathaniel R. Fredette; Mini Das
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Paper Abstract

Understanding factors that influence search and localization of signals in tomographic breast imaging can allow for the development of efficient system design and image displays. Several acquisition, reconstruction and display parameters are known to influence signal (mass or microcalcification) detection. In this abstract we examine variation in relevant image texture features with respect to digital breast tomosynthesis (DBT) acquisition parameters. We shall relate the impact of these changes in detection via correlations against results obtained from human observer localization ROC (LROC) studies. Our methods included calculation and analysis of these texture features at randomly sampled ROIs in select image sets.

Paper Details

Date Published: 10 March 2017
PDF: 6 pages
Proc. SPIE 10136, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment, 1013607 (10 March 2017); doi: 10.1117/12.2256113
Show Author Affiliations
William H. Nisbett, Univ. of Houston (United States)
Amareswararao Kavuri, Univ. of Houston (United States)
Nathaniel R. Fredette, Univ. of Houston (United States)
Mini Das, Univ. of Houston (United States)

Published in SPIE Proceedings Vol. 10136:
Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment
Matthew A. Kupinski; Robert M. Nishikawa, Editor(s)

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