Detection of Mammographic Microcalcifications by Pattern Matching

Pattern Matching을 이용한 유방영상의 미세 석회화 검출

  • Yang, Y.S. (Bioengineering Program, Yonsei University) ;
  • Kim, E.K. (Dept. of Diagnostic Radiology, College of Medicine, Yonsei University) ;
  • Kim, D.W. (Dept. of Biomedical Engineering, College of Medicine, Yonsei University)
  • 양윤석 (연세대학교 생체공학 협동과정) ;
  • 김은경 (연세대학교 의과대학 진단 방사선과) ;
  • 김덕원 (연세대학교 의과대학 의용공학교실)
  • Published : 1997.05.23

Abstract

The early detection of brest cancer is clearly a key ingredient for any strategy designed to reduce breast cancer mortality. Microcalcification(MCC) is one of the primary signatures to discriminate between normal and cancerous tissue. The detection and locating procedures can be automated by digital image processing, however, MCCs have various sizes, shapes, and intensity levels in film images, so it is difficult to find accurate locations and sizes. Firstly, we made quantitative analysis for many characteristic features of mammograms that can be used to segment MCCs from normal tissues. Secondly, we developed algorithms proper to segmentation like pattern matching. The performance was evaluated with TP and FP rates.

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