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Volumn 3216, Issue PART 1, 2004, Pages 475-482

Local speed functions in level set based vessel segmentation

Author keywords

[No Author keywords available]

Indexed keywords

ANGIOGRAPHY; BONE; CARDIOLOGY; COMPUTATIONAL METHODS; COMPUTERIZED TOMOGRAPHY; ESTIMATION; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; THREE DIMENSIONAL; TOPOLOGY; TREES (MATHEMATICS); FORESTRY; MEDICAL IMAGING; NUMERICAL METHODS;

EID: 20344398658     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30135-6_58     Document Type: Conference Paper
Times cited : (24)

References (14)
  • 1
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    • Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction
    • February
    • S.R. Aylward and E. Bullit. Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction. IEEE Transactions on Medical Imaging, 21(2):61-75, February 2002.
    • (2002) IEEE Transactions on Medical Imaging , vol.21 , Issue.2 , pp. 61-75
    • Aylward, S.R.1    Bullit, E.2
  • 3
  • 5
    • 0037252215 scopus 로고    scopus 로고
    • Adaptive local thresholding by verification-based multithreshold probing with application to vessel detection in retinal images
    • January
    • X. Jiang and D. Mojon. Adaptive local thresholding by verification-based multithreshold probing with application to vessel detection in retinal images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(1): 131-137, January 2003.
    • (2003) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.25 , Issue.1 , pp. 131-137
    • Jiang, X.1    Mojon, D.2
  • 8
    • 5644303194 scopus 로고    scopus 로고
    • Skeletonization for re-initialization in level set based vascular tree segmentation
    • SPIE, SPIE
    • R. Manniesing, B. Velthuis, M. van Leeuwen, and W. Niessen. Skeletonization for re-initialization in level set based vascular tree segmentation. In SPIE Medical Imaging. SPIE, SPIE, 2004.
    • (2004) SPIE Medical Imaging
    • Manniesing, R.1    Velthuis, B.2    Van Leeuwen, M.3    Niessen, W.4
  • 9
    • 44749084234 scopus 로고
    • Fronts propagation with curvature dependent speed: Algorithms based on Hamilton-Jacobi formulations
    • S.J. Osher and J.A. Sethian. Fronts propagation with curvature dependent speed: Algorithms based on Hamilton-Jacobi formulations. Journal of Computational Physics, 7:12-49, 1988.
    • (1988) Journal of Computational Physics , vol.7 , pp. 12-49
    • Osher, S.J.1    Sethian, J.A.2
  • 10
    • 0040115542 scopus 로고    scopus 로고
    • A 3d 6-subiteration thinning algorithm for extracting medial lines
    • K. Palágyi and A. Kuba. A 3d 6-subiteration thinning algorithm for extracting medial lines. Pattern Recognition Letters, 19:613-627, 1998.
    • (1998) Pattern Recognition Letters , vol.19 , pp. 613-627
    • Palágyi, K.1    Kuba, A.2
  • 11
    • 0344823916 scopus 로고    scopus 로고
    • A statistically based surface evolution method for medical image segmentation: Presentation and validation
    • E. Pichon, A. Tannenbaum, and R. Kikinis. A statistically based surface evolution method for medical image segmentation: Presentation and validation. In Medical Image Computing and Computer-Assisted Intervention, volume 2, pages 711-720, 2003.
    • (2003) Medical Image Computing and Computer-assisted Intervention , vol.2 , pp. 711-720
    • Pichon, E.1    Tannenbaum, A.2    Kikinis, R.3
  • 14
    • 0035116568 scopus 로고    scopus 로고
    • CT angiography of the Circle of Willis and intracranial internal carotid arteries: Maximum intensity projection with matched mask bone elimination - Feasibility study
    • H.W. Venema, F.J.H. Hulsmans, and G.J. den Heeten. CT angiography of the Circle of Willis and intracranial internal carotid arteries: Maximum intensity projection with matched mask bone elimination - feasibility study. Radiology, 218:893-898, 2001.
    • (2001) Radiology , vol.218 , pp. 893-898
    • Venema, H.W.1    Hulsmans, F.J.H.2    Den Heeten, G.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.