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Proceedings Paper

Automated detection for microcalcifications in digital mammograms using difference-image technique
Author(s): Ruiping Wang; Baikun Wan; Zhenhe Ma; Xuchen Cao
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Paper Abstract

Clustered microcalcifications (MCCs) on mammograms are an important early sign of breast cancer. An intelligent computer-aided diagnosis system can be very helpful for radiologist in detecting and diagnosing MCCs earlier than typical screening programs. In this paper, the detection algorithm is able to extract high-frequency signal and remove low-frequency background by exploiting a difference-image technique in which a signal-suppressed image is subtracted from a signal-enhanced image to remove the structured background in a mammogram. The difference image is thresholded to detect these MCCs in mammograms. The algorithm is tested with a series of clinical mammograms. A true positive rate ofmore than 75.5% is obtained at a false-positive (FP) detection of 2.18 per image

Paper Details

Date Published: 30 August 2002
PDF: 4 pages
Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); doi: 10.1117/12.481577
Show Author Affiliations
Ruiping Wang, Tianjin Univ. (China)
Baikun Wan, Tianjin Univ. (China)
Zhenhe Ma, Tianjin Univ. (China)
Xuchen Cao, Tianjin Medical Univ. Tumor Hospital (China)

Published in SPIE Proceedings Vol. 4925:
Electronic Imaging and Multimedia Technology III
LiWei Zhou; Chung-Sheng Li; Yoshiji Suzuki, Editor(s)

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