Share Email Print
cover

Proceedings Paper

Detectability of artificial lesions in anthropomorphic virtual breast phantoms of variable glandular fraction
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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 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.

Paper Details

Date Published: 9 March 2017
PDF: 9 pages
Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 101321X (9 March 2017); doi: 10.1117/12.2255896
Show Author Affiliations
Thomas J. Sauer, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (United States)
Christian G. Graff, U.S. Food and Drug Administration (United States)
Rongping Zeng, U.S. Food and Drug Administration (United States)
Maira Santana, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (United States)
Gregory M. Sturgeon, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (United States)
Hilde Bosmans, Univ. Ziekenhuizen Leuven (Belgium)
Stephen J. Glick, U.S. Food and Drug Administration (United States)
Xinyuan Claire Chen, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (United States)
W. P. Segars, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (United States)
Joseph Y. Lo, Carl E. Ravin Advanced Imaging Labs., Duke Univ. (United States)


Published in SPIE Proceedings Vol. 10132:
Medical Imaging 2017: Physics of Medical Imaging
Thomas G. Flohr; Joseph Y. Lo; Taly Gilat Schmidt, Editor(s)

© SPIE. Terms of Use
Back to Top