지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 저널정보
- 대한전자공학회 ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications ITC-CSCC : 2008
- 발행연도
- 2008.7
- 수록면
- 5 - 8 (4page)
이용수
초록· 키워드
오류제보하기
Recently, various imaging equipment such as high resolution computed tomography (HRCT) have been intoroduced into medical fields. Accordingly, many related image processing techniques are proposed into medical fields for extraction of abnormal area. Also, segmentation is one of the most important problems for analyzing the abnormalities and some segmentation techinques have been developed for automatic extraction of region of interest (ROI) before analyzing the abnomalities in the medical image processing field. It is, however, there are still no fully automatic segmantation methods that are generally applicable to ROI based on CT image set.
In this paper, we present a technique for automatic extraction of the multi organs on the multi detector row computed tomography (MDCT) images employing the ribs information which is obtained by anatomical information and a level set method. We apply our proposed technique to three image sets and satisfactory segmentation results are achieved.
In this paper, we present a technique for automatic extraction of the multi organs on the multi detector row computed tomography (MDCT) images employing the ribs information which is obtained by anatomical information and a level set method. We apply our proposed technique to three image sets and satisfactory segmentation results are achieved.
목차
Abstract
1. Introduction
2. Method
3. Results
4. Discussion and Conclusion
Acknowledgements
References
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UCI(KEPA) : I410-ECN-0101-2013-569-001138539