Detectability of anthropomorphic lesions in virtual breast phantoms as determined by new local tissue density metrics

Abstract

This work seeks to utilize a cohort of computational, patient-based breast phantoms and anthropomorphic lesions inserted therein to determine trends in breast lesion detectability as a function of several clincally relevant variables. One of the measures of local density proposed gives rise to a statisically signicant trend in lesion detectability, and it is apparent that lesion type is also a predictor of relative detectability.