On the impact of local image texture parameters on search and localization in digital breast imaging

William H. Nisbett; Amareswararao Kavuri; Nathaniel R. Fredette; Mini Das

doi:10.1117/12.2256113

10 March 2017 On the impact of local image texture parameters on search and localization in digital breast imaging

William H. Nisbett, Amareswararao Kavuri, Nathaniel R. Fredette, Mini Das

Proceedings Volume 10136, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment; 1013607 (2017) https://doi.org/10.1117/12.2256113
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

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.

Conference Presentation

Citation Download Citation

William H. Nisbett, Amareswararao Kavuri, Nathaniel R. Fredette, and Mini Das "On the impact of local image texture parameters on search and localization in digital breast imaging", Proc. SPIE 10136, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment, 1013607 (10 March 2017); https://doi.org/10.1117/12.2256113

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