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
- 발행연도
- 2012.11
- 수록면
- 63 - 66 (4page)
이용수
초록· 키워드
오류제보하기
Optical coherence tomography (OCT) is a non-invasive, cross-sectional imaging modality that has become a prominent imaging method in percutaneous intracoronary intervention. We present automated algorithms for detecting stent strut coordinates and lumen border in the OCT im- ages. The algorithm is composed of the image transformation from the Cartesian to the polar coordinates, and application of the second derivative operators and the local region-based seg-mentation method to detect stent strut and the lumen boundaries, respectively. The method was applied to the OCT pullback images acquired from 5 human patients in vivo and the experimen- tal results showed the good performance of the proposed method.
목차
ABSTRACT
INTRODUCTION
METHODS
RESULTS
REFERENCES
참고문헌 (0)
참고문헌 신청이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2014-410-000458821