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.
초록· 키워드
오류제보하기
Although tracking methods are efficient and popular for vessel segmentation, they require a seed to initiate an instance of tracking. In this paper, a new method to detect new seeds for tracking of arterial segments from CT angiography (CTA) and to construct a vascular structure is proposed. The proposed algorithm is based on shape analysis of connected components in a volume of interest around a vessel segment which was already extracted by tracking. The eigenvalues of the covariance matrix are used as the shape features for detection. The experimental results on actual clinical data showed that the results totally revealed the arterial tree not hindered by bone or veins. In visual comparison to a method which combines registration and subtraction of both pre-contrast and post-contrast CT volumes, the proposed method produced comparable results to the reference method and were confirmed of its feasibility for clinical use of reducing the cost and burden of patients.
목차
등록된 정보가 없습니다.
참고문헌 (13)
참고문헌 신청
A.f.Frangi / 1998 / Multiscale vessel enhancement filtering / Lecture Notes in Computer Science,Medical Image Computing and Computer-Assisted Intervention(MICCAI),Boston,USA
C.Florin / 2006 / Globally optimal active contours, sequential Monte-Carlo and on-line learning for vessel segmentation / Proceedings of European Conference on Computer Vision (ECC
D.Lesage / 2009 / A review of 3D vessel lumen segmentation techniques:models,features,and extraction schemes / Medical Image Analysis 13 : 819 ~ 845
H. Hong / 2004 / Three- Dimensional Brain CT-DSA using Rigid Registration and Bone Masking for Early Diagnosis and Treatment Planning / Lecture Note on Artificial Intelligen
H.Shim / 2005 / Partition-based extraction of cerebral arteries from CT angiography with emphasis on adaptive tracking / Lecture Notes in Computer Science 3565 : 357 ~ 368
C.Florin / 2006 / Globally optimal active contours, sequential Monte-Carlo and on-line learning for vessel segmentation / Proceedings of European Conference on Computer Vision (ECC
D.Lesage / 2009 / A review of 3D vessel lumen segmentation techniques:models,features,and extraction schemes / Medical Image Analysis 13 : 819 ~ 845
H. Hong / 2004 / Three- Dimensional Brain CT-DSA using Rigid Registration and Bone Masking for Early Diagnosis and Treatment Planning / Lecture Note on Artificial Intelligen
H.Shim / 2005 / Partition-based extraction of cerebral arteries from CT angiography with emphasis on adaptive tracking / Lecture Notes in Computer Science 3565 : 357 ~ 368
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