Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
권호 표지

Automated Segmentation of 3-D Sagittal Brain MR Images Through Boundery Comparison

경로 재설정을 통한 3차원 시상 두뇌 자기공명영상 분할

  • Hun, S. (Dept. of Electrical and Computer Eng., Yonsei University) ;
  • Sohn, K. H. (Dept. of Electrical and Computer Eng., Yonsei University) ;
  • Choe, Y. S. (Dept. of Electrical and Computer Eng., Yonsei University) ;
  • Kang, M. G. (Dept. of Electrical and Computer Eng., Yonsei University) ;
  • Lee, C. H. (Dept. of Electrical and Computer Eng., Yonsei University)
  • 허신 (연세대학교 전기.컴퓨터 공학과) ;
  • 손광훈 (연세대학교 전기.컴퓨터 공학과) ;
  • 최윤식 (연세대학교 전기.컴퓨터 공학과) ;
  • 강문기 (연세대학교 전기.컴퓨터 공학과) ;
  • 이철희 (연세대학교 전기.컴퓨터 공학과)
  • Published : 2000.04.01
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Abstract

본 논문에서는 중앙시상 두뇌 자기공명영상 분할결과를 이용한 3차원 시상 두뇌 자기공명영상의 자동분할기법을 제안한다. 제안된 알고리즘에서는 먼저 3차원 시상 두뇌 자기공명영상의 중앙영상을 분할하고, 분할된 중앙두뇌 자기공명영상을 인접하는 영상에 마스크로 적용한다. 이 때 마스크 적용으로 인하여 인접하는 영상이 절단되는 문제가 발생할 수 있다. 이러한 문제를 해결하기 위하여 절단 영역의 경계점을 검출한 후, 절단 영역에 대한 경로 재설정을 통해 절단 영역을 복원한다. 이러한 경로 재설정을 위해 connectivity-based threshold segmentation algorithm을 사용하였다. 실험결과 제안된 알고리즘의 유용성을 확인할 수 있었다.

Keywords

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