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

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2017

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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.

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Sauer, Thomas Justin (2017). Detectability of anthropomorphic lesions in virtual breast phantoms as determined by new local tissue density metrics. Master's thesis, Duke University. Retrieved from https://hdl.handle.net/10161/15309.

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