Automated detection for microcalcifications in digital mammograms using difference-image technique

Ruiping Wang; Baikun Wan; Zhenhe Ma; Xuchen Cao

doi:10.1117/12.481577

30 August 2002 Automated detection for microcalcifications in digital mammograms using difference-image technique

Ruiping Wang, Baikun Wan, Zhenhe Ma, Xuchen Cao

Proceedings Volume 4925, Electronic Imaging and Multimedia Technology III; (2002) https://doi.org/10.1117/12.481577
Event: Photonics Asia, 2002, Shanghai, China

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

Citation Download Citation

Ruiping Wang, Baikun Wan, Zhenhe Ma, and Xuchen Cao "Automated detection for microcalcifications in digital mammograms using difference-image technique", Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); https://doi.org/10.1117/12.481577

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