Detectability of artificial lesions in anthropomorphic virtual breast phantoms of variable glandular fraction

Published

Conference Paper

© 2017 SPIE. 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 clinically relevant variables. One of the measures of local density proposed gives rise to a statistically significant trend in lesion detectability, and it is apparent that lesion type is also a predictor of relative detectability.

Full Text

Duke Authors

Cited Authors

  • Sauer, TJ; Graff, CG; Zeng, R; Santana, M; Sturgeon, GM; Bosmans, H; Glick, SJ; Chen, XC; Segars, WP; Lo, JY

Published Date

  • January 1, 2017

Published In

Volume / Issue

  • 10132 /

International Standard Serial Number (ISSN)

  • 1605-7422

International Standard Book Number 13 (ISBN-13)

  • 9781510607095

Digital Object Identifier (DOI)

  • 10.1117/12.2255896

Citation Source

  • Scopus