Share Email Print

Proceedings Paper

Utilizing digital breast tomosynthesis projection views correlation for microcalcification enhancement for detection purposes
Author(s): Wissam J. Baddar; Eun Joon Kim; Dae Hoe Kim; Yong Man Ro
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This paper presents a novel method for enhancing the contrast of microcalcifications in digital breast tomosynthesis projection views for detection purposes. The proposed method relies on the correlation between the projection views in order to reduce the effect of noise, due to the low-dose exposure, and increase the contrast of the microcalcification particles for microcalcification cluster detection purposes. The method performs a series of multi-shift operations to capture the microcalcification particle movement information and compensate it in order to enhance microcalcification particles contrast. Furthermore, the proposed approach utilizes the projection view correlation in order to reduce the falsely detected regions of interest, and improve the classification of the detected regions into false positives or actual microcalcification clusters. Comparative experiments have been performed to quantitatively measure the contrast enhancement of microcalcification particles and its effect on the MC cluster detection. To that end, the contrast to noise ratio have been calculated and compared with some with previous methods. Furthermore, the free response receiver operating characteristic (FROC) curve have been used to measure the effect of the proposed enhancement on the microcalcification cluster detectability.

Paper Details

Date Published: 20 March 2015
PDF: 5 pages
Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 941421 (20 March 2015); doi: 10.1117/12.2082031
Show Author Affiliations
Wissam J. Baddar, KAIST (Korea, Republic of)
Eun Joon Kim, KAIST (Korea, Republic of)
Dae Hoe Kim, KAIST (Korea, Republic of)
Yong Man Ro, KAIST (Korea, Republic of)

Published in SPIE Proceedings Vol. 9414:
Medical Imaging 2015: Computer-Aided Diagnosis
Lubomir M. Hadjiiski; Georgia D. Tourassi, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?