상세정보
학술대회
Registration of Brain MR Images Using Feature Information of Structural Elements
- 저자
- 채정숙, 조형제
- 발행일
- 200511
- 출처
- Pacific Rim Conference on Multimedia (PCM) 2005 (LNCS 3767), v.3767, pp.922-933
- 협약과제
- 05ME1300, uPOST 기반 기술 개발(GIS 등을 활용한 우정 지식기반 시스템 기술 개발), 허홍석
- 초록
- In this paper, we propose a new registration algorithm, which can provide more exact criteria for deciphering brain diseases. At the first stage, our algorithm divides the areas of the brain structures to extract their features. After calculating contour and area information, the grouping step is performed. At the next stage, the brain structures are precisely classified with respect to the shape of cerebrospinal fluid and the volume of brain structures. These features are finally integrated into a knowledge base to build up a new standard atlas for normal brain MR images. Using this standard atlas, we perform the registration process after extracting the brain structures from the MR image to be compared. Finally, we analyze the registration results of the normal and abnormal MR images, and showed that the exactness of our algorithm is relatively superior to the previous methods. © Springer-Verlag Berlin Heidelberg 2005.
- KSP 제안 키워드
- Brain MR Images, Build up, Cerebrospinal fluid(CSF), Feature information, First stage, Registration algorithm, Structural elements, brain diseases, knowledge base