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.
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 (Presented at SPIE Medical Imaging: February 12, 2017; Published: 10 March 2017); https://doi.org/10.1117/12.2256113.
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