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Volumn 1281, Issue , 2005, Pages 212-217

Automatic 4D endocardium segmentation using hierarchical registration and model guided level set segmentation

Author keywords

Cardiac cycle; Level sets; Non rigid registration; Segmentation; Shape model

Indexed keywords


EID: 33646440896     PISSN: 05315131     EISSN: None     Source Type: Book Series    
DOI: 10.1016/j.ics.2005.03.071     Document Type: Article
Times cited : (3)

References (17)
  • 1
    • 44749084234 scopus 로고
    • Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
    • Osher J., and Sethian J.A. Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations. Journal of Computational Physics 79 (1988) 12-49
    • (1988) Journal of Computational Physics , vol.79 , pp. 12-49
    • Osher, J.1    Sethian, J.A.2
  • 2
    • 0033201368 scopus 로고    scopus 로고
    • Segmentation and measurement of the cortex from 3-D MR images using coupled surfaces propagation
    • Zeng X., et al. Segmentation and measurement of the cortex from 3-D MR images using coupled surfaces propagation. IEEE Transactions on Medical Imaging 18 (1999) 927-937
    • (1999) IEEE Transactions on Medical Imaging , vol.18 , pp. 927-937
    • Zeng, X.1
  • 3
    • 84967016941 scopus 로고    scopus 로고
    • Diffusion-snakes: combining statistical shape knowledge and image information in a variational framework
    • Cremers D., Schnorr C., and Weickert J. Diffusion-snakes: combining statistical shape knowledge and image information in a variational framework. IEEE Workshop on Variational Level Set Methods (2001) 137-144
    • (2001) IEEE Workshop on Variational Level Set Methods , pp. 137-144
    • Cremers, D.1    Schnorr, C.2    Weickert, J.3
  • 4
    • 33646460773 scopus 로고    scopus 로고
    • Shape Priors for Level Set Representations Presented at European Conference on Computer Vision, Copenhagen
    • Paragios N. Shape Priors for Level Set Representations Presented at European Conference on Computer Vision, Copenhagen (2002)
    • (2002)
    • Paragios, N.1
  • 7
    • 0029182228 scopus 로고
    • Active shape models: their training and applications
    • Cootes T.F., et al. Active shape models: their training and applications. Computer Vision and Image Understanding 61 (1995) 38-59
    • (1995) Computer Vision and Image Understanding , vol.61 , pp. 38-59
    • Cootes, T.F.1
  • 10
    • 4444338467 scopus 로고    scopus 로고
    • 3D image segmentation of deformable objects with joint shape-intensity prior modes using level sets
    • Yang J., and Duncan J.S. 3D image segmentation of deformable objects with joint shape-intensity prior modes using level sets. Medical Image Analysis 8 (2004) 285-294
    • (2004) Medical Image Analysis , vol.8 , pp. 285-294
    • Yang, J.1    Duncan, J.S.2
  • 11
    • 0032153006 scopus 로고    scopus 로고
    • Image matching as a diffusion process: an analogy with Maxwell's demons
    • Thirion J.-P. Image matching as a diffusion process: an analogy with Maxwell's demons. Medical Image Analysis 2 (1998) 243-260
    • (1998) Medical Image Analysis , vol.2 , pp. 243-260
    • Thirion, J.-P.1
  • 12
    • 0029255247 scopus 로고
    • Shape modeling with front propagation: a level set approach
    • Malladi R., Sethian J.A., and Vemuri B.C. Shape modeling with front propagation: a level set approach. IEEE TPAMI 17 (1995) 158-175
    • (1995) IEEE TPAMI , vol.17 , pp. 158-175
    • Malladi, R.1    Sethian, J.A.2    Vemuri, B.C.3
  • 15
    • 0028724624 scopus 로고
    • Morphometric analysis of white matter lesions in MR images: method and validation
    • Zijdenbos A.P., et al. Morphometric analysis of white matter lesions in MR images: method and validation. IEEE Transactions on Medical Imaging 13 (1994) 716-724
    • (1994) IEEE Transactions on Medical Imaging , vol.13 , pp. 716-724
    • Zijdenbos, A.P.1
  • 16
    • 33646456928 scopus 로고    scopus 로고
    • http://www.itk.org.
  • 17
    • 33646465698 scopus 로고    scopus 로고
    • http://www.vtk.org.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.