Spatial matching of magnified 2D mammography images and specimen radiographs: towards improved characterization of suspicious microcalcifications

Noor Nakhaei; Chrysostomos Marasinou; Akinyinka Omigbodun; Nina Capiro; Bo Li; Anne Hoyt; William Hsu

doi:10.1117/12.2582258

15 February 2021 Spatial matching of magnified 2D mammography images and specimen radiographs: towards improved characterization of suspicious microcalcifications

Noor Nakhaei, Chrysostomos Marasinou, Akinyinka Omigbodun, Nina Capiro, Bo Li, Anne Hoyt, William Hsu

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Proceedings Volume 11597, Medical Imaging 2021: Computer-Aided Diagnosis; 1159727 (2021) https://doi.org/10.1117/12.2582258
Event: SPIE Medical Imaging, 2021, Online Only

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Abstract

Accurate characterization of suspicious microcalcifications is critical to determine whether these calcifications are associated with invasive disease. Our overarching objective is to enable the joint characterization of microcalcifications and surrounding breast tissue using mammography images and digital histopathology images. Towards this goal, we investigate a template matching-based approach that utilizes microcalcifications as landmarks to match radiographs taken of biopsy core specimens to groups of calcifications that are visible on mammography. Our approach achieved a high negative predictive value (0.98) but modest precision (0.66) and recall (0.58) in identifying the mammographic region where microcalcifications were taken during a core needle biopsy.

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Noor Nakhaei, Chrysostomos Marasinou, Akinyinka Omigbodun, Nina Capiro, Bo Li, Anne Hoyt, and William Hsu "Spatial matching of magnified 2D mammography images and specimen radiographs: towards improved characterization of suspicious microcalcifications", Proc. SPIE 11597, Medical Imaging 2021: Computer-Aided Diagnosis, 1159727 (15 February 2021); https://doi.org/10.1117/12.2582258

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