메뉴 건너뛰기




Volumn 7259, Issue , 2009, Pages

A two-stage approach for fully automatic segmentation of venous vascular structures in liver CT images

Author keywords

Computed tomography; Hepatic vessel; Liver; Segmentation

Indexed keywords

AUTOMATIC SEGMENTATIONS; CLINICAL ROUTINE; COMPUTED TOMOGRAPHY; CONTRAST-ENHANCED; FILTER RESPONSE; HIGH SPECIFICITY; LIVER CT; LIVER SEGMENTATION; SEGMENTATION RESULTS; SURGICAL PLANNING; TERMINAL POINTS; TWO STAGE; VASCULAR STRUCTURES; VASCULAR TREES; VESSEL SEGMENTATION; VESSEL TRACKING;

EID: 71649088633     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.812407     Document Type: Conference Paper
Times cited : (30)

References (25)
  • 1
    • 0029732159 scopus 로고    scopus 로고
    • Surgical Planning for Liver Resection
    • E. K. Fishman, B. S. Kuszyk, D. G. Heath, et al., "Surgical Planning for Liver Resection," Computer 29(1), pp. 64-72, 1996.
    • (1996) Computer , vol.29 , Issue.1 , pp. 64-72
    • Fishman, E.K.1    Kuszyk, B.S.2    Heath, D.G.3
  • 2
    • 37849005926 scopus 로고    scopus 로고
    • Imaging evaluation of potential donors in living-donor liver transplantation
    • G. Low, E. Wiebe, A. Walji, and D. Bigam, "Imaging evaluation of potential donors in living-donor liver transplantation," Clinical Radiology 63(2), pp. 136-145, 2008.
    • (2008) Clinical Radiology , vol.63 , Issue.2 , pp. 136-145
    • Low, G.1    Wiebe, E.2    Walji, A.3    Bigam, D.4
  • 3
    • 0035220662 scopus 로고    scopus 로고
    • Use of Imaging for Living Donor Liver Transplantation
    • M. J. Bassignani, A. S. Fulcher, R. A. Szucs, et al., "Use of Imaging for Living Donor Liver Transplantation," Radiographics 21(1), pp. 39-52, 2001.
    • (2001) Radiographics , vol.21 , Issue.1 , pp. 39-52
    • Bassignani, M.J.1    Fulcher, A.S.2    Szucs, R.A.3
  • 5
    • 0036880230 scopus 로고    scopus 로고
    • Analysis of Vasculature for Liver Surgical Planning
    • D. Selle, B. Preim, A. Schenk, and H. O. Peitgen, "Analysis of Vasculature for Liver Surgical Planning," IEEE Trans Med Imaging 21(11), pp. 1344-1357, 2002.
    • (2002) IEEE Trans Med Imaging , vol.21 , Issue.11 , pp. 1344-1357
    • Selle, D.1    Preim, B.2    Schenk, A.3    Peitgen, H.O.4
  • 6
    • 50249111600 scopus 로고    scopus 로고
    • Automatic Hepatic Vessel Segmentation using Graphics Hardware
    • 4th Int Workshop on Medical Imaging and Augmented Reality MIAR
    • M. Erdt, M. Raspe, and M. Sühling, "Automatic Hepatic Vessel Segmentation using Graphics Hardware," in 4th Int Workshop on Medical Imaging and Augmented Reality (MIAR), LNCS 5128, pp. 403-412, 2008.
    • (2008) LNCS , vol.5128 , pp. 403-412
    • Erdt, M.1    Raspe, M.2    Sühling, M.3
  • 7
    • 5644267870 scopus 로고    scopus 로고
    • Liver Segment Approximation in CT Data for Surgical Resection Planning
    • R. Beichel, T. Pock, C. Janko, and et al., "Liver Segment Approximation in CT Data for Surgical Resection Planning," in SPIE Medical Imaging, 5370, pp. 1435-1446, 2004.
    • (2004) SPIE Medical Imaging , vol.5370 , pp. 1435-1446
    • Beichel, R.1    Pock, T.2    Janko, C.3    and et, al.4
  • 8
    • 84995601681 scopus 로고    scopus 로고
    • Review of Vessel Segmentation Methods Applied to Liver Volume Images
    • S. Casciaro and E. Samset, eds, pp, Lupiensis Biomedical Publications
    • P. Makowski and S. Casciaro, "Review of Vessel Segmentation Methods Applied to Liver Volume Images," in Minimally Invasive Technologies and Nanosystems for Diagnosis and Therapies, S. Casciaro and E. Samset, eds., pp. 103-112, Lupiensis Biomedical Publications, 2008.
    • (2008) Minimally Invasive Technologies and Nanosystems for Diagnosis and Therapies , pp. 103-112
    • Makowski, P.1    Casciaro, S.2
  • 9
    • 0033721355 scopus 로고    scopus 로고
    • Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery
    • L. Soler, H. Delingette, G. Malandain, et al., "Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery," in SPIE Medical Imaging, 3979, pp. 246-255, 2000.
    • (2000) SPIE Medical Imaging , vol.3979 , pp. 246-255
    • Soler, L.1    Delingette, H.2    Malandain, G.3
  • 10
    • 0035192580 scopus 로고    scopus 로고
    • Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery
    • L. Soler, H. Delingette, G. Malandain, et al., "Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery," Computer Aided Surgery 6(3), pp. 131-142, 2001.
    • (2001) Computer Aided Surgery , vol.6 , Issue.3 , pp. 131-142
    • Soler, L.1    Delingette, H.2    Malandain, G.3
  • 12
    • 0006543724 scopus 로고    scopus 로고
    • Mathematical Methods in Medical Imaging: Analysis of Vascular Structures for Liver Surgery Planning
    • B. Enquist and W. Schmid, eds, pp, Springer
    • D. Selle, W. Spindler, B. Preim, and H.-O. Peitgen, "Mathematical Methods in Medical Imaging: Analysis of Vascular Structures for Liver Surgery Planning," in Mathematics Unlimited - 2001 and Beyond, B. Enquist and W. Schmid, eds., pp. 103-109, Springer, 2001.
    • (2001) Mathematics Unlimited - 2001 and Beyond , pp. 103-109
    • Selle, D.1    Spindler, W.2    Preim, B.3    Peitgen, H.-O.4
  • 13
    • 0032081365 scopus 로고    scopus 로고
    • Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images
    • Y. Sato, S. Nakajima, N. Shiraga, et al., "Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images," Medical Image Analysis 2(2), pp. 143-168, 1998.
    • (1998) Medical Image Analysis , vol.2 , Issue.2 , pp. 143-168
    • Sato, Y.1    Nakajima, S.2    Shiraga, N.3
  • 16
    • 52249083278 scopus 로고    scopus 로고
    • Hierarchical, Learning-based Automatic Liver Segmentation, IEEE Conf on Computer Vision and Pattern Recognition
    • H. Ling, S. Zhou, Y. Zheng, et al., "Hierarchical, Learning-based Automatic Liver Segmentation," IEEE Conf on Computer Vision and Pattern Recognition, CVPR , pp. 1-8, 2008.
    • (2008) CVPR , pp. 1-8
    • Ling, H.1    Zhou, S.2    Zheng, Y.3
  • 17
    • 71649092685 scopus 로고
    • Geometric Smoothing of 3D Surfaces and Non-linear Diffusion of 3D Images,
    • Division of Engineering, Brown University
    • P. Neskovic and B. B. Kimia, "Geometric Smoothing of 3D Surfaces and Non-linear Diffusion of 3D Images," tech. rep., Division of Engineering, Brown University, 1995.
    • (1995) tech. rep
    • Neskovic, P.1    Kimia, B.B.2
  • 18
    • 4344598245 scopus 로고    scopus 로고
    • An Experimental Comparison ofMin-Cut/Max-Flow Algorithms for Energy Minimization in Vision
    • Y. Boykov and V. Kolmogorov, "An Experimental Comparison ofMin-Cut/Max-Flow Algorithms for Energy Minimization in Vision," IEEE Trans. Pattern Anal. Mach. Intell. 26(9), pp. 1124-1137, 2004.
    • (2004) IEEE Trans. Pattern Anal. Mach. Intell , vol.26 , Issue.9 , pp. 1124-1137
    • Boykov, Y.1    Kolmogorov, V.2
  • 19
    • 0025557485 scopus 로고
    • Region oriented 3D-segmentation of NMR-datasets: A statistical model-based approach
    • T. Aach and H. Dawid, "Region oriented 3D-segmentation of NMR-datasets: A statistical model-based approach," in SPIE Visual Communications and Image Processing, 1360, pp. 690-701, 1990.
    • (1990) SPIE Visual Communications and Image Processing , vol.1360 , pp. 690-701
    • Aach, T.1    Dawid, H.2
  • 21
    • 79551685420 scopus 로고    scopus 로고
    • Weights and Topology: A Study of the Effects of Graph Construction on 3D Image Segmentation
    • Proc. of MICCAI 2008
    • L. Grady and M.-P. Jolly, "Weights and Topology: A Study of the Effects of Graph Construction on 3D Image Segmentation," in Proc. of MICCAI 2008, LNCS 5241, pp. 153-161, 2008.
    • (2008) LNCS , vol.5241 , pp. 153-161
    • Grady, L.1    Jolly, M.-P.2
  • 22
    • 9244255257 scopus 로고    scopus 로고
    • Three- Dimensional Path Planning for Virtual Bronchoscopy
    • A. P. Kiraly, J. P. Helferty, E. A. Hoffman, et al., "Three- Dimensional Path Planning for Virtual Bronchoscopy," IEEE Trans. Med. Imaging 23(11), pp. 1365-1379, 2004.
    • (2004) IEEE Trans. Med. Imaging , vol.23 , Issue.11 , pp. 1365-1379
    • Kiraly, A.P.1    Helferty, J.P.2    Hoffman, E.A.3
  • 23
    • 84883836755 scopus 로고    scopus 로고
    • Robust Vessel Tree Modeling
    • Proc. of MICCAI 2008
    • M. A. Gülsün and H. Tek, "Robust Vessel Tree Modeling," in Proc. of MICCAI 2008, LNCS 5241, pp. 602-611, 2008.
    • (2008) LNCS , vol.5241 , pp. 602-611
    • Gülsün, M.A.1    Tek, H.2
  • 24
    • 0035779633 scopus 로고    scopus 로고
    • Fast extraction of minimal paths in 3D images and applications to virtual endoscopy
    • T. Deschamps and L. Cohen, "Fast extraction of minimal paths in 3D images and applications to virtual endoscopy," Medical Image Analysis 5(4), pp. 281-299, 2001.
    • (2001) Medical Image Analysis , vol.5 , Issue.4 , pp. 281-299
    • Deschamps, T.1    Cohen, L.2
  • 25
    • 71649115484 scopus 로고    scopus 로고
    • 3D Flux Maximizing Flows
    • Int Workshop on Energy Minimizing Methods In Computer Vision
    • K. Siddiqi and A. Vasilevskiy, "3D Flux Maximizing Flows," in Int Workshop on Energy Minimizing Methods In Computer Vision, LNCS 2134, pp. 636-650, 2001.
    • (2001) LNCS , vol.2134 , pp. 636-650
    • Siddiqi, K.1    Vasilevskiy, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.