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Healthc Inform Res > Volume 15(1); 2009 > Article
Journal of Korean Society of Medical Informatics 2009;15(1):165-172.
DOI: https://doi.org/10.4258/jksmi.2009.15.1.165    Published online March 31, 2009.
Detection of Microcalcifications in Digital Mammograms Using Foveal Method
Whi Vin Oh1, Kwanggi Kim1, Young Jae Kim1, Hansung Kang2,3, Jungsil Ro2,3, Wookyung Moon4
1Biomedical Engineering Branch, Division of Cancer Biology, National Cancer Center, Korea.
2Center for Breast cancer, National Cancer Center, Korea.
3Breast & Endocrine Cancer Branch, National Cancer Center, Korea.
4Diagnostic Radiology, Seoul National University Hospital ,Seoul National University, Korea.
Correspondence:  Kwanggi Kim,
Received: 24 September 2008
Abstract

Objective: Breast cancer represents themost frequently diagnosed cancer in women. In order to reducemortality, early detection of breast cancer is important, because diagnosis is more likely to be successful in the early stages of the disease. On the average, the reader's sensitivity can be increased by 10% with the assistance of computer-aided diagnosis (CAD) system. This paper presents a CAD system for the automatic detection of clustered micro-calcifications in digitized mammograms.

Methods: The proposed system consists of three main steps. First, breast region is segmented from original mammogram using contrast property of grey level co-occurrence matrix(GLCM). Second, potential micro-calcification pixels in the mammograms are detected by foveal method. Third, in order to reduce false-positive rate, individual micro-calcifications are detected by a set of 8 features extracted from the potential individual micro-calcification objects.

Results: In the result, Specificity and sensitivity are used to evaluate the detection performance of micro-calcifications.(sensitivity : 93.1%, specificity : 87.5%).

Conclusion: This study could be a useful method for diagnosis of breast cancer as a CAD system.

Key Words: Microcalcification, CAD, Biomedical Imaging


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