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Volumn 37, Issue 8, 2004, Pages 1573-1589

Speeding up the EM algorithm for mixture model-based segmentation of magnetic resonance images

Author keywords

EM algorithm; Hidden Markov random field; Image segmentation; Magnetic resonance imaging; Mixture models; Multiresolution kd trees; Sparse incremental EM algorithm; Statistical pattern recognition

Indexed keywords

BRAIN; IMAGE SEGMENTATION; MAGNETIC RESONANCE; MATHEMATICAL MODELS; PROBLEM SOLVING;

EID: 2642550607     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2004.02.012     Document Type: Article
Times cited : (28)

References (33)
  • 2
    • 0032312273 scopus 로고    scopus 로고
    • Modelling facial colour and identity with Gaussian mixtures
    • McKenna S.J. Gong S. Raja Y. Modelling facial colour and identity with Gaussian mixtures Pattern Recognition 31 12 1998 1883-1892
    • (1998) Pattern Recognition , vol.31 , Issue.12 , pp. 1883-1892
    • McKenna, S.J.1    Gong, S.2    Raja, Y.3
  • 4
    • 0034956571 scopus 로고    scopus 로고
    • Treatment planning in severe scoliosis: The role of MRI
    • Freund M. Hahnel S. Thomsen M. Sartor K. Treatment planning in severe scoliosis: The role of MRI Neuroradiology 43 6 2001 481-484
    • (2001) Neuroradiology , vol.43 , Issue.6 , pp. 481-484
    • Freund, M.1    Hahnel, S.2    Thomsen, M.3    Sartor, K.4
  • 7
    • 0034820716 scopus 로고    scopus 로고
    • Focused and nonfocused attention in verbal and emotional dichotic listening: An FMRI study
    • Jancke L. Buchanan T.W. Lutz K. Shah N.J. Focused and nonfocused attention in verbal and emotional dichotic listening: An FMRI study Brain Lang. 78 3 2001 349-363
    • (2001) Brain Lang. , vol.78 , Issue.3 , pp. 349-363
    • Jancke, L.1    Buchanan, T.W.2    Lutz, K.3    Shah, N.J.4
  • 9
    • 84958484337 scopus 로고
    • Multivariate tissue classification of MRI images for 3D volume reconstruction-a statistical approach
    • H.S. Choi, D.R. Haynor, Y. Kim, Multivariate tissue classification of MRI images for 3D volume reconstruction-a statistical approach, Proceedings SPIE Medical Imaging III: Image Processing, Vol. 1092, 1989, pp. 183-193.
    • (1989) Proceedings SPIE Medical Imaging III: Image Processing , vol.1092 , pp. 183-193
    • Choi, H.S.1    Haynor, D.R.2    Kim, Y.3
  • 12
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm (with discussion)
    • Ser. B
    • Dempster A.P. Laird N.M. Rubin D.B. Maximum likelihood from incomplete data via the EM algorithm (with discussion) J. Roy. Stat. Soc. Ser. B 39 1 1977 1-38
    • (1977) J. Roy. Stat. Soc. , vol.39 , Issue.1 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 13
    • 0000013152 scopus 로고
    • On the statistical analysis of dirty pictures (with discussion)
    • Ser. B
    • Besag J.E. On the statistical analysis of dirty pictures (with discussion) J. Roy. Stat. Soc. Ser. B 48 3 1986 259-302
    • (1986) J. Roy. Stat. Soc. , vol.48 , Issue.3 , pp. 259-302
    • Besag, J.E.1
  • 14
    • 0037209490 scopus 로고    scopus 로고
    • EM procedures using mean field-like approximations for Markov model-based image segmentation
    • Celeux G. Forbes F. Peyrard N. EM procedures using mean field-like approximations for Markov model-based image segmentation Pattern Recognition 36 1 2003 131-144
    • (2003) Pattern Recognition , vol.36 , Issue.1 , pp. 131-144
    • Celeux, G.1    Forbes, F.2    Peyrard, N.3
  • 15
    • 0028466714 scopus 로고
    • Maximum-likelihood parameter-estimation for unsupervised stochastic model-based image segmentation
    • Zhang J. Modestino J.W. Langan D.A. Maximum-likelihood parameter- estimation for unsupervised stochastic model-based image segmentation IEEE Trans. Image Process. 3 4 1994 404-420
    • (1994) IEEE Trans. Image Process. , vol.3 , Issue.4 , pp. 404-420
    • Zhang, J.1    Modestino, J.W.2    Langan, D.A.3
  • 17
    • 84899029127 scopus 로고    scopus 로고
    • Very fast EM-based mixture model clustering using multiresolution kd-tree
    • M.S. Kearns, S.A. Solla, D.A. Cohn (Eds.), MIT Press, Cambridge, MA
    • A.W. Moore, Very fast EM-based mixture model clustering using multiresolution kd-tree, in: M.S. Kearns, S.A. Solla, D.A. Cohn (Eds.), Advances in Neural Information Processing Systems, Vol. 11, MIT Press, Cambridge, MA, 1999, pp. 543-549.
    • (1999) Advances in Neural Information Processing Systems , vol.11 , pp. 543-549
    • Moore, A.W.1
  • 18
    • 0002788893 scopus 로고    scopus 로고
    • A view of the EM algorithm that justifies incremental, sparse, and other variants
    • M. I. Jordan (Ed.), Dordrecht: Kluwer
    • Neal R.M. Hinton G.E. A view of the EM algorithm that justifies incremental, sparse, and other variants Jordan M.I. Learning in Graphical Models 1998 355-368 Kluwer Dordrecht
    • (1998) Learning in Graphical Models , pp. 355-368
    • Neal, R.M.1    Hinton, G.E.2
  • 21
    • 0035575419 scopus 로고    scopus 로고
    • Accelerating EM for large databases
    • Thiesson B. Meek C. Heckerman D. Accelerating EM for large databases Mach. Learning 45 3 2001 279-299
    • (2001) Mach. Learning , vol.45 , Issue.3 , pp. 279-299
    • Thiesson, B.1    Meek, C.2    Heckerman, D.3
  • 22
    • 0345832327 scopus 로고    scopus 로고
    • On the choice of the number of blocks with the incremental EM algorithm for the fitting of normal mixtures
    • Ng S.K. McLachlan G.J. On the choice of the number of blocks with the incremental EM algorithm for the fitting of normal mixtures Stat. Comput. 13 1 2003 45-55
    • (2003) Stat. Comput. , vol.13 , Issue.1 , pp. 45-55
    • Ng, S.K.1    McLachlan, G.J.2
  • 23
    • 0027594549 scopus 로고
    • Adaptive mixture density estimation
    • Priebe C.E. Marchette D.J. Adaptive mixture density estimation Pattern Recognition 26 5 1993 771-785
    • (1993) Pattern Recognition , vol.26 , Issue.5 , pp. 771-785
    • Priebe, C.E.1    Marchette, D.J.2
  • 27
    • 0028494865 scopus 로고
    • Parameter estimation and tissue segmentation from multispectral MR images
    • Liang Z. MacFall J.R. Harrington D.P. Parameter estimation and tissue segmentation from multispectral MR images IEEE Trans. Med. Imaging 13 3 1994 441-449
    • (1994) IEEE Trans. Med. Imaging , vol.13 , Issue.3 , pp. 441-449
    • Liang, Z.1    MacFall, J.R.2    Harrington, D.P.3
  • 29
    • 6644223703 scopus 로고    scopus 로고
    • On random sampling without replacement from a finite population
    • Kochar S.C. Korwar R. On random sampling without replacement from a finite population Ann. Inst. Statist. Math. 53 3 2001 631-646
    • (2001) Ann. Inst. Statist. Math. , vol.53 , Issue.3 , pp. 631-646
    • Kochar, S.C.1    Korwar, R.2
  • 31
    • 0038205852 scopus 로고    scopus 로고
    • Repairing faulty mixture models using density estimation
    • C. E. Brodley, & A. P. Danyluk (Eds.), San Francisco: Morgan Kaufmann
    • Sand P. Moore A.W. Repairing faulty mixture models using density estimation Brodley C.E. Danyluk A.P. Proceedings of the 18th International Conference on Machine Learning 2001 457-464 Morgan Kaufmann San Francisco
    • (2001) Proceedings of the 18th International Conference on Machine Learning , pp. 457-464
    • Sand, P.1    Moore, A.W.2
  • 32
    • 0033224771 scopus 로고    scopus 로고
    • Hyperspectral data analysis and supervised feature reduction via projection pursuit
    • Jimenez L.O. Landgrebe D.A. Hyperspectral data analysis and supervised feature reduction via projection pursuit IEEE Trans. Geosci. Remote 37 6 1999 2653-2667
    • (1999) IEEE Trans. Geosci. Remote , vol.37 , Issue.6 , pp. 2653-2667
    • Jimenez, L.O.1    Landgrebe, D.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.