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Volumn 104, Issue 3, 2011, Pages

A review of atlas-based segmentation for magnetic resonance brain images

Author keywords

Atlas; Automated methods; Brain; Magnetic resonance imaging; Segmentation

Indexed keywords

ATLAS; ATLAS CONSTRUCTION; ATLAS-BASED METHODS; ATLAS-BASED SEGMENTATION; AUTOMATED APPROACH; AUTOMATED METHODS; HEALTHY SUBJECTS; INTENSITY IMAGES; INTERNAL STRUCTURE; LABEL PROPAGATION; MAGNETIC RESONANCE BRAIN IMAGES; PROBABILISTIC TECHNIQUE; QUANTITATIVE COMPARISON; REGISTRATION ALGORITHMS; RESEARCH DIRECTIONS; SEGMENTED IMAGES; TARGET IMAGES; TISSUE SEGMENTATION;

EID: 80655149028     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2011.07.015     Document Type: Article
Times cited : (362)

References (179)
  • 2
    • 33747423677 scopus 로고    scopus 로고
    • Multiple sclerosis: the role of MR imaging
    • Ge Y. Multiple sclerosis: the role of MR imaging. Am. J. Neuroradiol. 2006, 27(6):1165-1176.
    • (2006) Am. J. Neuroradiol. , vol.27 , Issue.6 , pp. 1165-1176
    • Ge, Y.1
  • 3
    • 72049102438 scopus 로고    scopus 로고
    • Neuroimaging to assess safety and efficacy of AD therapies
    • Hill D. Neuroimaging to assess safety and efficacy of AD therapies. Expert Opin. Investig. Drugs 2010, 19(1):23-26.
    • (2010) Expert Opin. Investig. Drugs , vol.19 , Issue.1 , pp. 23-26
    • Hill, D.1
  • 5
    • 51549120732 scopus 로고    scopus 로고
    • State of the art of level set methods in segmentation and registration of medical imaging modalities
    • Springer, US
    • Angelini E., Jin Y., Laine A. State of the art of level set methods in segmentation and registration of medical imaging modalities. Handbook of Biomedical Image Analysis 2007, Springer, US, pp. 47-101.
    • (2007) Handbook of Biomedical Image Analysis , pp. 47-101
    • Angelini, E.1    Jin, Y.2    Laine, A.3
  • 8
    • 0033169211 scopus 로고    scopus 로고
    • Nonrigid registration using free-form deformations: application to breast MR images
    • Rueckert D., Sonoda L., Hayes C., Hill D., Leach M., Hawkes D. Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans. Med. Imag. 1999, 18(8):712-721.
    • (1999) IEEE Trans. Med. Imag. , vol.18 , Issue.8 , pp. 712-721
    • Rueckert, D.1    Sonoda, L.2    Hayes, C.3    Hill, D.4    Leach, M.5    Hawkes, D.6
  • 9
    • 0032008619 scopus 로고    scopus 로고
    • A survey of medical image registration
    • Maintz J.B.A., Viergever M.A. A survey of medical image registration. Med. Image Anal. 1998, 2(1):1-36.
    • (1998) Med. Image Anal. , vol.2 , Issue.1 , pp. 1-36
    • Maintz, J.B.A.1    Viergever, M.A.2
  • 10
    • 0032785812 scopus 로고    scopus 로고
    • A survey of hierarchical non-linear medical image registration
    • Lester H., Arridge S.R. A survey of hierarchical non-linear medical image registration. Pattern Recogn. 1999, 32(1):129-149.
    • (1999) Pattern Recogn. , vol.32 , Issue.1 , pp. 129-149
    • Lester, H.1    Arridge, S.R.2
  • 12
    • 0043028206 scopus 로고    scopus 로고
    • Mutual-information-based registration of medical images: a survey
    • Pluim J.P.W., Maintz J.B.A., Viergever M.A. Mutual-information-based registration of medical images: a survey. IEEE Trans. Med. Imag. 2003, 22(8):986-1004.
    • (2003) IEEE Trans. Med. Imag. , vol.22 , Issue.8 , pp. 986-1004
    • Pluim, J.P.W.1    Maintz, J.B.A.2    Viergever, M.A.3
  • 16
    • 84857797636 scopus 로고    scopus 로고
    • N. Library of Medicine, The visible human project. last visit: 29/12/.
    • N. Library of Medicine, The visible human project. last visit: 29/12/2010. http://www.nlm.nih.gov/research/visible/.
    • (2010)
  • 17
    • 0026017296 scopus 로고
    • A computerized brain atlas: construction, anatomical content and some applications
    • Greitz T., Bohm C., Holte S., Eriksson L. A computerized brain atlas: construction, anatomical content and some applications. J. Comput. Assist. Tomogr. 1991, 15(1):26-38.
    • (1991) J. Comput. Assist. Tomogr. , vol.15 , Issue.1 , pp. 26-38
    • Greitz, T.1    Bohm, C.2    Holte, S.3    Eriksson, L.4
  • 18
    • 0027650074 scopus 로고
    • Transformations and algorithms in a computerized brain atlas
    • Thurjfell L., Bohm C., Greitz T., Eriksson L. Transformations and algorithms in a computerized brain atlas. IEEE Trans. Nucl. Sci. 1993, 40(4):1187-1191.
    • (1993) IEEE Trans. Nucl. Sci. , vol.40 , Issue.4 , pp. 1187-1191
    • Thurjfell, L.1    Bohm, C.2    Greitz, T.3    Eriksson, L.4
  • 20
    • 0020563226 scopus 로고
    • A computerized system for the elastic matching of deformed radiographic images to idealized atlas images
    • Bajcsy R., Lieberson R., Reivich M. A computerized system for the elastic matching of deformed radiographic images to idealized atlas images. J. Comput. Assist. Tomogr. 1983, 7(4):618-625.
    • (1983) J. Comput. Assist. Tomogr. , vol.7 , Issue.4 , pp. 618-625
    • Bajcsy, R.1    Lieberson, R.2    Reivich, M.3
  • 21
    • 0142245556 scopus 로고    scopus 로고
    • Digital anatomy atlas and its registration to MRI, fMRI, PET: the past presents a future
    • Bajcsy R. Digital anatomy atlas and its registration to MRI, fMRI, PET: the past presents a future. Int. Workshop on Biomedical Image Registration 2003, 201-211.
    • (2003) Int. Workshop on Biomedical Image Registration , pp. 201-211
    • Bajcsy, R.1
  • 23
    • 84857799258 scopus 로고    scopus 로고
    • Imaging Center, BrainWeb
    • last visit: 29/12/
    • M. Brain Imaging Center, BrainWeb: simulated brain database. last visit: 29/12/2010. http://www.bic.mni.mcgill.ca/brainweb/.
    • (2010) Simulated brain database
    • Brain, M.1
  • 25
    • 0032834702 scopus 로고    scopus 로고
    • Creation and use of a Tailarach-compatible atlas for accurate, automated, nonlinear intersubject registration, and analysis of functional imaging
    • Woods R., Dapretto M., Sicotte N., Toga A., Mazziotta J. Creation and use of a Tailarach-compatible atlas for accurate, automated, nonlinear intersubject registration, and analysis of functional imaging. Hum. Brain Mapp. 1999, 8(2-3):554-566.
    • (1999) Hum. Brain Mapp. , vol.8 , Issue.2-3 , pp. 554-566
    • Woods, R.1    Dapretto, M.2    Sicotte, N.3    Toga, A.4    Mazziotta, J.5
  • 27
    • 84857801568 scopus 로고    scopus 로고
    • Laboratory of Neuro Imaging (UCLA), International Consortium for Brain Mapping. last visit: 29/12/.
    • Laboratory of Neuro Imaging (UCLA), International Consortium for Brain Mapping. last visit: 29/12/2010. http://www.loni.ucla.edu/ICBM/.
    • (2010)
  • 28
    • 84857801569 scopus 로고    scopus 로고
    • Laboratory of Neuro Imaging (UCLA), International Consortium for Brain Mapping. last visit: 20/03/.
    • Laboratory of Neuro Imaging (UCLA), International Consortium for Brain Mapping. last visit: 20/03/2010. http://www.loni.ucla.edu/Atlases/.
    • (2010)
  • 29
    • 84857797630 scopus 로고    scopus 로고
    • Massachusetts General Hospital, Internet Brain Segmentation Repository, last visit: 29/12/.
    • Massachusetts General Hospital, Internet Brain Segmentation Repository. last visit: 29/12/2010. http://www.cma.mgh.harvard.edu/ibsr/.
    • (2010)
  • 30
    • 70749157039 scopus 로고    scopus 로고
    • A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions
    • Shiee N., Bazin P.L., Ozturk A., Reich D.S., Calabresi P.A., Pham D.L. A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions. NeuroImage 2010, 49(2):1524-1535.
    • (2010) NeuroImage , vol.49 , Issue.2 , pp. 1524-1535
    • Shiee, N.1    Bazin, P.L.2    Ozturk, A.3    Reich, D.S.4    Calabresi, P.A.5    Pham, D.L.6
  • 31
    • 48749119801 scopus 로고    scopus 로고
    • Homeomorphic brain image segmentation with topological and statistical atlases
    • Bazin P.L., Pham D.L. Homeomorphic brain image segmentation with topological and statistical atlases. Med. Image Anal. 2008, 12(5):616-625.
    • (2008) Med. Image Anal. , vol.12 , Issue.5 , pp. 616-625
    • Bazin, P.L.1    Pham, D.L.2
  • 36
    • 7044260966 scopus 로고    scopus 로고
    • Unbiased diffeomorphic atlas construction for computational anatomy
    • Joshi S., Davis B., Jomier M., Gerig G. Unbiased diffeomorphic atlas construction for computational anatomy. NeuroImage 2004, 23(1):151-160.
    • (2004) NeuroImage , vol.23 , Issue.1 , pp. 151-160
    • Joshi, S.1    Davis, B.2    Jomier, M.3    Gerig, G.4
  • 41
    • 80655130013 scopus 로고    scopus 로고
    • Evaluation of atlas construction strategies in the context of radiotherapy planning, in: Statist. Atlases Personal. Models Work., held in conjuction with MICCAI.
    • O. Commowick, G. Malandain, Evaluation of atlas construction strategies in the context of radiotherapy planning, in: Statist. Atlases Personal. Models Work., 2006, pp. 1-4, held in conjuction with MICCAI.
    • (2006) , pp. 1-4
    • Commowick, O.1    Malandain, G.2
  • 42
    • 0027531938 scopus 로고
    • Elastically deforming 3D atlas to match anatomical brain images
    • Gee J.C., Reivich M., Bajcsy R. Elastically deforming 3D atlas to match anatomical brain images. J. Comput. Assist. Tomogr. 1993, 17(2):225-236.
    • (1993) J. Comput. Assist. Tomogr. , vol.17 , Issue.2 , pp. 225-236
    • Gee, J.C.1    Reivich, M.2    Bajcsy, R.3
  • 47
    • 0031128523 scopus 로고    scopus 로고
    • Spatial transformation and registration of brain images using elastically deformable models
    • Davatzikos C. Spatial transformation and registration of brain images using elastically deformable models. Comput. Vis. Image Underst. 1997, 66(2):207-222.
    • (1997) Comput. Vis. Image Underst. , vol.66 , Issue.2 , pp. 207-222
    • Davatzikos, C.1
  • 48
    • 0033201364 scopus 로고    scopus 로고
    • Automatic 3-D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformations. i. Methodology and validation on normal subjects
    • Dawant B.M., Hartmann S.L., Thirion J.P., Maes F., Vandermeulen D., Demaerel P. Automatic 3-D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformations. i. Methodology and validation on normal subjects. IEEE Trans. Med. Imag. 1999, 18(10):909-916.
    • (1999) IEEE Trans. Med. Imag. , vol.18 , Issue.10 , pp. 909-916
    • Dawant, B.M.1    Hartmann, S.L.2    Thirion, J.P.3    Maes, F.4    Vandermeulen, D.5    Demaerel, P.6
  • 49
    • 0035469969 scopus 로고    scopus 로고
    • Segmentation of brain 3D MR images using level sets and dense registration
    • Baillard C., Hellier P., Barillot C. Segmentation of brain 3D MR images using level sets and dense registration. Med. Image Anal. 2001, 5(3):185-194.
    • (2001) Med. Image Anal. , vol.5 , Issue.3 , pp. 185-194
    • Baillard, C.1    Hellier, P.2    Barillot, C.3
  • 50
    • 16244384502 scopus 로고    scopus 로고
    • Mindboggle: a scatterbrained approach to automate brain labeling
    • Klein A., Hirsch J. Mindboggle: a scatterbrained approach to automate brain labeling. NeuroImage 2005, 24(2):261-280.
    • (2005) NeuroImage , vol.24 , Issue.2 , pp. 261-280
    • Klein, A.1    Hirsch, J.2
  • 52
    • 67349232610 scopus 로고    scopus 로고
    • Atlas-based segmentation of 3D cerebral structures with competitive level sets and fuzzy control
    • Ciofolo C., Barillot C. Atlas-based segmentation of 3D cerebral structures with competitive level sets and fuzzy control. Med. Image Anal. 2009, 13(3):456-470.
    • (2009) Med. Image Anal. , vol.13 , Issue.3 , pp. 456-470
    • Ciofolo, C.1    Barillot, C.2
  • 53
    • 2942737140 scopus 로고    scopus 로고
    • A hierarchical parametric algorithm for deformable multimodal image registration
    • Hellier P., Barillot C. A hierarchical parametric algorithm for deformable multimodal image registration. Comput. Meth. Prog. Biomed. 2004, 75(2):107-115.
    • (2004) Comput. Meth. Prog. Biomed. , vol.75 , Issue.2 , pp. 107-115
    • Hellier, P.1    Barillot, C.2
  • 54
    • 38849118482 scopus 로고    scopus 로고
    • Non-rigid registration of multi-modal images using both mutual information and cross-correlation
    • Andronache A., von Siebenthal M., Szekely G., Cattin P. Non-rigid registration of multi-modal images using both mutual information and cross-correlation. Med. Image Anal. 2008, 12(1):3-15.
    • (2008) Med. Image Anal. , vol.12 , Issue.1 , pp. 3-15
    • Andronache, A.1    von Siebenthal, M.2    Szekely, G.3    Cattin, P.4
  • 55
    • 34047161846 scopus 로고    scopus 로고
    • Atlas renormalization for improved brain MR image segmentation across scanner platforms
    • Han X., Fischl B. Atlas renormalization for improved brain MR image segmentation across scanner platforms. IEEE Trans. Med. Imag. 2007, 26(4):479-486.
    • (2007) IEEE Trans. Med. Imag. , vol.26 , Issue.4 , pp. 479-486
    • Han, X.1    Fischl, B.2
  • 56
    • 0032970425 scopus 로고    scopus 로고
    • Nonlinear spatial normalization using basis functions
    • Ashburner J., Friston K.J. Nonlinear spatial normalization using basis functions. Hum. Brain Mapp. 1999, 7(4):209-217.
    • (1999) Hum. Brain Mapp. , vol.7 , Issue.4 , pp. 209-217
    • Ashburner, J.1    Friston, K.J.2
  • 57
    • 12844270528 scopus 로고    scopus 로고
    • 3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization
    • Noblet V., Heinrich C., Heitz F., Armspach J.P. 3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization. IEEE Trans. Image Proc. 2005, 14(5):553-566.
    • (2005) IEEE Trans. Image Proc. , vol.14 , Issue.5 , pp. 553-566
    • Noblet, V.1    Heinrich, C.2    Heitz, F.3    Armspach, J.P.4
  • 59
    • 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. Med. Image Anal. 1998, 2(3):243-260.
    • (1998) Med. Image Anal. , vol.2 , Issue.3 , pp. 243-260
    • Thirion, J.P.1
  • 60
    • 63849264858 scopus 로고    scopus 로고
    • Diffeomorphic demons: efficient non-parametric image registration
    • Vercauteren T., Pennec X., Perchant A., Ayache N. Diffeomorphic demons: efficient non-parametric image registration. NeuroImage 2009, 45(Suppl. 1):S61-S72.
    • (2009) NeuroImage , vol.45 , Issue.SUPPL. 1
    • Vercauteren, T.1    Pennec, X.2    Perchant, A.3    Ayache, N.4
  • 62
  • 65
    • 64949185299 scopus 로고    scopus 로고
    • Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy
    • Aljabar P., Heckemann R.A., Hammers A., Hajnal J.V., Rueckert D. Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy. NeuroImage 2009, 46(3):726-738.
    • (2009) NeuroImage , vol.46 , Issue.3 , pp. 726-738
    • Aljabar, P.1    Heckemann, R.A.2    Hammers, A.3    Hajnal, J.V.4    Rueckert, D.5
  • 67
    • 33748784605 scopus 로고    scopus 로고
    • Automatic anatomical brain MRI segmentation combining label propagation and decision fusion
    • Heckemann R.A., Hajnal J.V., Aljabar P., Rueckert D., Hammers A. Automatic anatomical brain MRI segmentation combining label propagation and decision fusion. NeuroImage 2006, 33(1):115-126.
    • (2006) NeuroImage , vol.33 , Issue.1 , pp. 115-126
    • Heckemann, R.A.1    Hajnal, J.V.2    Aljabar, P.3    Rueckert, D.4    Hammers, A.5
  • 68
    • 68249109861 scopus 로고    scopus 로고
    • Combination strategies in multi-atlas image segmentation: application to brain MR data
    • Artaechevarria X., Muñoz-Barrutia A., Ortiz-de Solorzano C. Combination strategies in multi-atlas image segmentation: application to brain MR data. IEEE Trans. Med. Imag. 2009, 28(8):1266-1277.
    • (2009) IEEE Trans. Med. Imag. , vol.28 , Issue.8 , pp. 1266-1277
    • Artaechevarria, X.1    Muñoz-Barrutia, A.2    Ortiz-de Solorzano, C.3
  • 69
    • 0026860706 scopus 로고
    • Methods of combining multiple classifiers and their applications to handwriting recognition
    • Xu L., Krzyzak A., Suen C.Y. Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Trans. Syst. Man Cybern. 1992, 22(3):418-435.
    • (1992) IEEE Trans. Syst. Man Cybern. , vol.22 , Issue.3 , pp. 418-435
    • Xu, L.1    Krzyzak, A.2    Suen, C.Y.3
  • 70
    • 1842452933 scopus 로고    scopus 로고
    • Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains
    • Rohlfing T., Brandt R., Menzel R., Maurer C.R. Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains. NeuroImage 2004, 21(4):1428-1442.
    • (2004) NeuroImage , vol.21 , Issue.4 , pp. 1428-1442
    • Rohlfing, T.1    Brandt, R.2    Menzel, R.3    Maurer, C.R.4
  • 72
    • 67649512401 scopus 로고    scopus 로고
    • Multi-atlas-based segmentation with local decision fusion - application to cardiac and aortic segmentation in CT scans
    • Isgum I., Staring M., Rutten A., Prokop M., Viergever M.A., van Ginneken B. Multi-atlas-based segmentation with local decision fusion - application to cardiac and aortic segmentation in CT scans. IEEE Trans. Med. Imag. 2004, 28(7):1000-1010.
    • (2004) IEEE Trans. Med. Imag. , vol.28 , Issue.7 , pp. 1000-1010
    • Isgum, I.1    Staring, M.2    Rutten, A.3    Prokop, M.4    Viergever, M.A.5    van Ginneken, B.6
  • 74
    • 1942438249 scopus 로고    scopus 로고
    • Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation
    • Warfield S.K., Zou K.H., Wells W.M. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation. IEEE Trans. Med. Imag. 2004, 23(7):903-921.
    • (2004) IEEE Trans. Med. Imag. , vol.23 , Issue.7 , pp. 903-921
    • Warfield, S.K.1    Zou, K.H.2    Wells, W.M.3
  • 75
    • 4043153403 scopus 로고    scopus 로고
    • Performance-based classifier combination in atlas-based image segmentation using expectation-maximization parameter estimation
    • Rohlfing T., Russakoff D.B., Maurer C.R. Performance-based classifier combination in atlas-based image segmentation using expectation-maximization parameter estimation. IEEE Trans. Med. Imag. 2004, 23(8):983-994.
    • (2004) IEEE Trans. Med. Imag. , vol.23 , Issue.8 , pp. 983-994
    • Rohlfing, T.1    Russakoff, D.B.2    Maurer, C.R.3
  • 76
    • 0033201366 scopus 로고    scopus 로고
    • Automated model-based tissue classification of MR images of the brain
    • Van Leemput K., Maes F., Vandermeulen D., Suetens P. Automated model-based tissue classification of MR images of the brain. IEEE Trans. Med. Imag. 1999, 18(10):897-908.
    • (1999) IEEE Trans. Med. Imag. , vol.18 , Issue.10 , pp. 897-908
    • Van Leemput, K.1    Maes, F.2    Vandermeulen, D.3    Suetens, P.4
  • 79
    • 33747868671 scopus 로고    scopus 로고
    • Adaptive Markov modeling for mutual-information-based, unsupervised MRI brain-tissue classification
    • Awate S.P., Tasdizen T., Foster N., Whitaker R.T. Adaptive Markov modeling for mutual-information-based, unsupervised MRI brain-tissue classification. Med. Image Anal. 2006, 10(5):726-739.
    • (2006) Med. Image Anal. , vol.10 , Issue.5 , pp. 726-739
    • Awate, S.P.1    Tasdizen, T.2    Foster, N.3    Whitaker, R.T.4
  • 80
    • 54549100129 scopus 로고    scopus 로고
    • Hippocampus segmentation in MR images using atlas registration, voxel classification, and graph cuts
    • van der Lijn F., den Heijer T., Breteler M.M.B., Niessen W. Hippocampus segmentation in MR images using atlas registration, voxel classification, and graph cuts. NeuroImage 2008, 43(4):708-720.
    • (2008) NeuroImage , vol.43 , Issue.4 , pp. 708-720
    • van der Lijn, F.1    den Heijer, T.2    Breteler, M.M.B.3    Niessen, W.4
  • 82
    • 54449096064 scopus 로고    scopus 로고
    • Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains
    • Bricq S., Collet C., Armspach J.P. Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains. Med. Image Anal. 2008, 12(6):639-652.
    • (2008) Med. Image Anal. , vol.12 , Issue.6 , pp. 639-652
    • Bricq, S.1    Collet, C.2    Armspach, J.P.3
  • 87
    • 0029377853 scopus 로고
    • Model-based 3-D segmentation of multiple sclerosis lesions in magnetic resonance brain images
    • Kamber M., Shinghal R., Collins D.L., Francis G.S., Evans A.C. Model-based 3-D segmentation of multiple sclerosis lesions in magnetic resonance brain images. IEEE Trans. Med. Imag. 1995, 14(3):442-453.
    • (1995) IEEE Trans. Med. Imag. , vol.14 , Issue.3 , pp. 442-453
    • Kamber, M.1    Shinghal, R.2    Collins, D.L.3    Francis, G.S.4    Evans, A.C.5
  • 88
    • 0036826508 scopus 로고    scopus 로고
    • Automatic "pipeline" analysis of 3-D MRI data for clinical trials: application to multiple sclerosis
    • Zijdenbos A.P., Forghani R., Evans A.C. Automatic "pipeline" analysis of 3-D MRI data for clinical trials: application to multiple sclerosis. IEEE Trans. Med. Imag. 2002, 21(10):1280-1291.
    • (2002) IEEE Trans. Med. Imag. , vol.21 , Issue.10 , pp. 1280-1291
    • Zijdenbos, A.P.1    Forghani, R.2    Evans, A.C.3
  • 91
    • 0142260969 scopus 로고    scopus 로고
    • A fully automatic and robust brain MRI tissue classification method
    • Cocosco C.A., Zijdenbos A.P., Evans A.C. A fully automatic and robust brain MRI tissue classification method. Med. Image Anal. 2003, 7(4):513-527.
    • (2003) Med. Image Anal. , vol.7 , Issue.4 , pp. 513-527
    • Cocosco, C.A.1    Zijdenbos, A.P.2    Evans, A.C.3
  • 94
    • 81355134134 scopus 로고    scopus 로고
    • Fully-automatic generation of training points for automatic multiple sclerosis segmentation
    • Tomas X., Warfield S.K. Fully-automatic generation of training points for automatic multiple sclerosis segmentation. Work. Med. Image Anal. Mult. Scler. 2009, 49-59.
    • (2009) Work. Med. Image Anal. Mult. Scler. , pp. 49-59
    • Tomas, X.1    Warfield, S.K.2
  • 95
    • 4444333897 scopus 로고    scopus 로고
    • A brain tumor segmentation framework based on outlier detection
    • Prastawa M., Bullitt E., Ho S., Gerig G. A brain tumor segmentation framework based on outlier detection. Med. Image Anal. 2004, 8(3):275-283.
    • (2004) Med. Image Anal. , vol.8 , Issue.3 , pp. 275-283
    • Prastawa, M.1    Bullitt, E.2    Ho, S.3    Gerig, G.4
  • 96
    • 80655130009 scopus 로고    scopus 로고
    • Automatic MS lesion segmentation by outlier detection and information theoretic region partitioning
    • Prastawa M., Gerig G. Automatic MS lesion segmentation by outlier detection and information theoretic region partitioning. Grand Challenge Work.: Mult. Scler. Lesion Segm. Challenge 2008, 1-8.
    • (2008) Grand Challenge Work.: Mult. Scler. Lesion Segm. Challenge , pp. 1-8
    • Prastawa, M.1    Gerig, G.2
  • 97
    • 1942486776 scopus 로고    scopus 로고
    • Improved watershed transform for medical image segmentation using prior information
    • Grau V., Mewes A.U.J., Alcaniz M., Kikinis R., Warfield S.K. Improved watershed transform for medical image segmentation using prior information. IEEE Trans. Med. Imag. 2004, 23(4):447-458.
    • (2004) IEEE Trans. Med. Imag. , vol.23 , Issue.4 , pp. 447-458
    • Grau, V.1    Mewes, A.U.J.2    Alcaniz, M.3    Kikinis, R.4    Warfield, S.K.5
  • 99
    • 1542397929 scopus 로고    scopus 로고
    • Evaluation of automated and semi-automated skull-stripping algorithms using similarity index and segmentation error
    • Lee J.M., Yoon U., Nam S.H., Kim J.H., Kim I.Y., Kim S.I. Evaluation of automated and semi-automated skull-stripping algorithms using similarity index and segmentation error. Comput. Biol. Med. 2003, 33(6):495-507.
    • (2003) Comput. Biol. Med. , vol.33 , Issue.6 , pp. 495-507
    • Lee, J.M.1    Yoon, U.2    Nam, S.H.3    Kim, J.H.4    Kim, I.Y.5    Kim, S.I.6
  • 102
    • 33646478856 scopus 로고    scopus 로고
    • Analysis and validation of automated skull stripping tools: a validation study based on 296 MR images from the Honolulu Asia aging study
    • Hartley S.W., Scher A.I., Korf E.S.C., White L.R., Launer L.J. Analysis and validation of automated skull stripping tools: a validation study based on 296 MR images from the Honolulu Asia aging study. NeuroImage 2006, 30(4):1179-1186.
    • (2006) NeuroImage , vol.30 , Issue.4 , pp. 1179-1186
    • Hartley, S.W.1    Scher, A.I.2    Korf, E.S.C.3    White, L.R.4    Launer, L.J.5
  • 103
    • 0031987383 scopus 로고    scopus 로고
    • Fully automatic segmentation of the brain in MRI
    • Stella Atkins M., Mackiewich B.T. Fully automatic segmentation of the brain in MRI. IEEE Trans. Med. Imag. 1998, 17(1):98-107.
    • (1998) IEEE Trans. Med. Imag. , vol.17 , Issue.1 , pp. 98-107
    • Stella Atkins, M.1    Mackiewich, B.T.2
  • 105
    • 0000013152 scopus 로고
    • On the statistical analysis of dirty pictures
    • Besag J. On the statistical analysis of dirty pictures. J. R. Stat. Soc. B 1986, 48(3):259-302.
    • (1986) J. R. Stat. Soc. B , vol.48 , Issue.3 , pp. 259-302
    • Besag, J.1
  • 106
    • 0002629270 scopus 로고
    • Maximum-likelihood from incomplete data via EM algorithm
    • Dempster A.P., Laird N.M., Rubin D.B. Maximum-likelihood from incomplete data via EM algorithm. J. R. Stat. Soc. B 1977, 39(1):1-38.
    • (1977) J. R. Stat. Soc. B , vol.39 , Issue.1 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 109
    • 84857797632 scopus 로고    scopus 로고
    • Northern California Institute for Research and Education (UCSF), Alzheimer's Disease Neuroimaging Initiative (ADNI), last visit: 01/03/.
    • Northern California Institute for Research and Education (UCSF), Alzheimer's Disease Neuroimaging Initiative (ADNI), last visit: 01/03/2011. http://www.adni-info.org/.
    • (2011)
  • 110
    • 33847774807 scopus 로고    scopus 로고
    • A review of methods for correction of intensity inhomogeneity in MRI
    • Vovk U., Pernus F., Likar B. A review of methods for correction of intensity inhomogeneity in MRI. IEEE Trans. Med. Imag. 2007, 26(3):405-421.
    • (2007) IEEE Trans. Med. Imag. , vol.26 , Issue.3 , pp. 405-421
    • Vovk, U.1    Pernus, F.2    Likar, B.3
  • 111
    • 0027658896 scopus 로고
    • A review on image segmentation techniques
    • Pal N.R., Pal S.K. A review on image segmentation techniques. Pattern Recogn. 1993, 26(9):1277-1294.
    • (1993) Pattern Recogn. , vol.26 , Issue.9 , pp. 1277-1294
    • Pal, N.R.1    Pal, S.K.2
  • 113
    • 0036989044 scopus 로고    scopus 로고
    • Computer vision and pattern recognition techniques for 2-D and 3-D MR cerebral cortical segmentation (Part I): a state-of-the-art review
    • Suri J.S., Singh S., Reden L. Computer vision and pattern recognition techniques for 2-D and 3-D MR cerebral cortical segmentation (Part I): a state-of-the-art review. Pattern Anal. Appl. 2002, 5:46-76.
    • (2002) Pattern Anal. Appl. , vol.5 , pp. 46-76
    • Suri, J.S.1    Singh, S.2    Reden, L.3
  • 114
    • 20444501009 scopus 로고    scopus 로고
    • Unified segmentation
    • Ashburner J., Friston K.J. Unified segmentation. NeuroImage 2005, 26(3):839-851.
    • (2005) NeuroImage , vol.26 , Issue.3 , pp. 839-851
    • Ashburner, J.1    Friston, K.J.2
  • 115
    • 0030170534 scopus 로고    scopus 로고
    • Fast k-NN classification for multichannel image data
    • Warfield S.K. Fast k-NN classification for multichannel image data. Pattern Recogn. Lett. 1996, 17(7):713-721.
    • (1996) Pattern Recogn. Lett. , vol.17 , Issue.7 , pp. 713-721
    • Warfield, S.K.1
  • 117
    • 67349126887 scopus 로고    scopus 로고
    • Automatic segmentation of newborn brain MRI
    • Weisenfeld N.I., Warfield S.K. Automatic segmentation of newborn brain MRI. NeuroImage 2009, 47(2):564-572.
    • (2009) NeuroImage , vol.47 , Issue.2 , pp. 564-572
    • Weisenfeld, N.I.1    Warfield, S.K.2
  • 121
    • 1642287714 scopus 로고    scopus 로고
    • Fetal brain MRI: segmentation and biometric analysis of the posterior fossa
    • Claude I., Daire J.L., Sebag G. Fetal brain MRI: segmentation and biometric analysis of the posterior fossa. IEEE Trans. Biomed. Eng. 2004, 51(4):617-626.
    • (2004) IEEE Trans. Biomed. Eng. , vol.51 , Issue.4 , pp. 617-626
    • Claude, I.1    Daire, J.L.2    Sebag, G.3
  • 124
    • 77956276314 scopus 로고    scopus 로고
    • Atlas-based segmentation of developing tissues in the human brain with quantitative validation in young fetuses
    • Habas P.A., Kim K., Rousseau F., Glenn O.A., Barkovich A.J., Studholme C. Atlas-based segmentation of developing tissues in the human brain with quantitative validation in young fetuses. Hum. Brain Mapp. 2010, 31(9):1348-1358.
    • (2010) Hum. Brain Mapp. , vol.31 , Issue.9 , pp. 1348-1358
    • Habas, P.A.1    Kim, K.2    Rousseau, F.3    Glenn, O.A.4    Barkovich, A.J.5    Studholme, C.6
  • 126
    • 34247387963 scopus 로고    scopus 로고
    • Age and gender effects on human brain anatomy: a voxel-based morphometric study in healthy elderly
    • Smith C.D., Chebrolu H., Wekstein D.R., Schmitt F.A., Markesbery W.R. Age and gender effects on human brain anatomy: a voxel-based morphometric study in healthy elderly. Neurobiol. Aging 2007, 28(7):1075-1087.
    • (2007) Neurobiol. Aging , vol.28 , Issue.7 , pp. 1075-1087
    • Smith, C.D.1    Chebrolu, H.2    Wekstein, D.R.3    Schmitt, F.A.4    Markesbery, W.R.5
  • 128
    • 79952705538 scopus 로고    scopus 로고
    • Regional specificity of MRI contrast parameter changes in normal ageing revealed by voxel-based quantification (VBQ)
    • Draganski B., Ashburner J., Hutton C., Kherif F., Frackowiak R., Helms G., Weiskopf N. Regional specificity of MRI contrast parameter changes in normal ageing revealed by voxel-based quantification (VBQ). NeuroImage 2011, 55(4):1423-1434.
    • (2011) NeuroImage , vol.55 , Issue.4 , pp. 1423-1434
    • Draganski, B.1    Ashburner, J.2    Hutton, C.3    Kherif, F.4    Frackowiak, R.5    Helms, G.6    Weiskopf, N.7
  • 130
    • 0033201367 scopus 로고    scopus 로고
    • Automatic 3-D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformations. ii. Validation on severly atrophied brains
    • Hartmann S.L., Thirion J.P., Maes F., Vandermeulen D., Demaerel P. Automatic 3-D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformations. ii. Validation on severly atrophied brains. IEEE Trans. Med. Imag. 1999, 18(10):917-926.
    • (1999) IEEE Trans. Med. Imag. , vol.18 , Issue.10 , pp. 917-926
    • Hartmann, S.L.1    Thirion, J.P.2    Maes, F.3    Vandermeulen, D.4    Demaerel, P.5
  • 132
    • 68549125555 scopus 로고    scopus 로고
    • Voxel-based morphometry: an automated technique for assessing structural changes in the brain
    • Whitwell J.L. Voxel-based morphometry: an automated technique for assessing structural changes in the brain. J. Neurosci. 2009, 29(31):9661-9664.
    • (2009) J. Neurosci. , vol.29 , Issue.31 , pp. 9661-9664
    • Whitwell, J.L.1
  • 134
    • 77951688568 scopus 로고    scopus 로고
    • Automatic cerebral and cerebellar hemisphere segmentation in 3D MRI: adaptive disconnection algorithm
    • Zhao L., Ruotsalainen U., Hirvonen J., Hietala J., Tohka J. Automatic cerebral and cerebellar hemisphere segmentation in 3D MRI: adaptive disconnection algorithm. Med. Image Anal. 2010, 14(3):360-372.
    • (2010) Med. Image Anal. , vol.14 , Issue.3 , pp. 360-372
    • Zhao, L.1    Ruotsalainen, U.2    Hirvonen, J.3    Hietala, J.4    Tohka, J.5
  • 135
    • 48349141247 scopus 로고    scopus 로고
    • Detection of infract lesions from single MRI modality using inconsistency between voxel intensity and spatial location - a 3D automatic approach
    • Shen S., Szameitat A.J., Sterr A. Detection of infract lesions from single MRI modality using inconsistency between voxel intensity and spatial location - a 3D automatic approach. IEEE Trans. Inform. Technol. Biomed. 2008, 12(4):532-540.
    • (2008) IEEE Trans. Inform. Technol. Biomed. , vol.12 , Issue.4 , pp. 532-540
    • Shen, S.1    Szameitat, A.J.2    Sterr, A.3
  • 136
    • 77349123530 scopus 로고    scopus 로고
    • An improved lesion detection approach based on similarity measurement between fuzzy intensity segmentation and spatial probability maps
    • Shen S., Szameitat A.J., Sterr A. An improved lesion detection approach based on similarity measurement between fuzzy intensity segmentation and spatial probability maps. Magn. Reson. Imaging 2010, 28(2):245-254.
    • (2010) Magn. Reson. Imaging , vol.28 , Issue.2 , pp. 245-254
    • Shen, S.1    Szameitat, A.J.2    Sterr, A.3
  • 137
    • 44649098840 scopus 로고    scopus 로고
    • Lesion identification using unified segmentation-normalisation models and fuzzy clustering
    • Seghier M.L., Ramlackhansingha A., Criniona A.P.L.J., Pricea C.J. Lesion identification using unified segmentation-normalisation models and fuzzy clustering. NeuroImage 2008, 41(4):1253-1266.
    • (2008) NeuroImage , vol.41 , Issue.4 , pp. 1253-1266
    • Seghier, M.L.1    Ramlackhansingha, A.2    Criniona, A.P.L.J.3    Pricea, C.J.4
  • 140
    • 33845968863 scopus 로고    scopus 로고
    • Dense deformation field estimation for atlas-based segmentation of pathological MR brain images
    • Bach Cuadra M., Craene M.D., Duay V., Macq B., Pollo C., Thiran J.P. Dense deformation field estimation for atlas-based segmentation of pathological MR brain images. Comput. Meth. Prog. Biomed. 2006, 84(2-3):66-75.
    • (2006) Comput. Meth. Prog. Biomed. , vol.84 , Issue.2-3 , pp. 66-75
    • Bach Cuadra, M.1    Craene, M.D.2    Duay, V.3    Macq, B.4    Pollo, C.5    Thiran, J.P.6
  • 141
    • 64949125157 scopus 로고    scopus 로고
    • Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth
    • Zacharaki E.I., Hogea C.S., Shen D., Biros G., Davatzikos C. Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth. NeuroImage 2009, 46(3):762-774.
    • (2009) NeuroImage , vol.46 , Issue.3 , pp. 762-774
    • Zacharaki, E.I.1    Hogea, C.S.2    Shen, D.3    Biros, G.4    Davatzikos, C.5
  • 142
    • 0033153746 scopus 로고    scopus 로고
    • Nonlinear elastic registration of brain images with tumor pathology using a biomechanical model
    • Kyriakou S., Davatzikos C. Nonlinear elastic registration of brain images with tumor pathology using a biomechanical model. IEEE Trans. Med. Imag. 1999, 18(7):580-592.
    • (1999) IEEE Trans. Med. Imag. , vol.18 , Issue.7 , pp. 580-592
    • Kyriakou, S.1    Davatzikos, C.2
  • 144
    • 0036015568 scopus 로고    scopus 로고
    • Brain atlas deformation in the presence of small and large space-occupying tumors
    • Dawant B.M., Hartmann S.L., Pan S., Gadamsetty S. Brain atlas deformation in the presence of small and large space-occupying tumors. Comput. Aided Surg. 2002, 7(1):1-10.
    • (2002) Comput. Aided Surg. , vol.7 , Issue.1 , pp. 1-10
    • Dawant, B.M.1    Hartmann, S.L.2    Pan, S.3    Gadamsetty, S.4
  • 146
    • 12844274494 scopus 로고    scopus 로고
    • Segmentation of brain structures in presence of a space-occupying lesion
    • Pollo C., Bach Cuadra M., Cuisenaire O., Villemure J.-G., Thiran J.P. Segmentation of brain structures in presence of a space-occupying lesion. NeuroImage 2005, 24(4):990-996.
    • (2005) NeuroImage , vol.24 , Issue.4 , pp. 990-996
    • Pollo, C.1    Bach Cuadra, M.2    Cuisenaire, O.3    Villemure, J.-G.4    Thiran, J.P.5
  • 147
    • 23644462428 scopus 로고    scopus 로고
    • Toward atlas-assisted automatic interpretation of MRI morphological brain scans in the presence of tumor
    • Nowinski W.L., Belov D. Toward atlas-assisted automatic interpretation of MRI morphological brain scans in the presence of tumor. NeuroImage 2005, 12(8):1049-1057.
    • (2005) NeuroImage , vol.12 , Issue.8 , pp. 1049-1057
    • Nowinski, W.L.1    Belov, D.2
  • 148
    • 0034151398 scopus 로고    scopus 로고
    • Adaptive, template moderated, spatially varying statistical classification
    • Warfield S.K., Kaus M., Jolesz F.A., Kikinis R. Adaptive, template moderated, spatially varying statistical classification. Med. Image Anal. 2000, 4(1):43-55.
    • (2000) Med. Image Anal. , vol.4 , Issue.1 , pp. 43-55
    • Warfield, S.K.1    Kaus, M.2    Jolesz, F.A.3    Kikinis, R.4
  • 149
    • 0036880516 scopus 로고    scopus 로고
    • HAMMER: Hierarchical attribute matching mechanism for elastic registration
    • Shen D., Davatzikos C. HAMMER: Hierarchical attribute matching mechanism for elastic registration. IEEE Trans. Med. Imag. 2002, 21(11):1421-1439.
    • (2002) IEEE Trans. Med. Imag. , vol.21 , Issue.11 , pp. 1421-1439
    • Shen, D.1    Davatzikos, C.2
  • 150
    • 43449092116 scopus 로고    scopus 로고
    • ORBIT: a multiresolution framework for deformable registration of brain tumor images
    • Zacharaki E.I., Shen D., Lee S.K., Davatzikos C. ORBIT: a multiresolution framework for deformable registration of brain tumor images. IEEE Trans. Med. Imag. 2008, 27(8):1003-1017.
    • (2008) IEEE Trans. Med. Imag. , vol.27 , Issue.8 , pp. 1003-1017
    • Zacharaki, E.I.1    Shen, D.2    Lee, S.K.3    Davatzikos, C.4
  • 151
    • 17144381300 scopus 로고    scopus 로고
    • Non-rigid registration algorithm with spatially varying stiffness properties
    • Duay V., D'Haese P.F., Li R., Dawant B.M. Non-rigid registration algorithm with spatially varying stiffness properties. IEEE Int. Symp. Biomed. Imag. 2004, 408-411.
    • (2004) IEEE Int. Symp. Biomed. Imag. , pp. 408-411
    • Duay, V.1    D'Haese, P.F.2    Li, R.3    Dawant, B.M.4
  • 156
    • 70449602140 scopus 로고    scopus 로고
    • GPU-accelerated, gradient-free MI deformable registration for atlas-based MR brain image segmentation
    • Han X., Hibbard L., Willcut V. GPU-accelerated, gradient-free MI deformable registration for atlas-based MR brain image segmentation. Computer Vision and Pattern Recognition Workshop 2009, 141-148.
    • (2009) Computer Vision and Pattern Recognition Workshop , pp. 141-148
    • Han, X.1    Hibbard, L.2    Willcut, V.3
  • 158
    • 0141596155 scopus 로고    scopus 로고
    • Normative pediatric brain data for spatial normalization and segmentation differs from standard adult data
    • Wilke M., Schmithorst V., Holland S. Normative pediatric brain data for spatial normalization and segmentation differs from standard adult data. Magnetic Resonance in Medicine 2003, 50(4):749-757.
    • (2003) Magnetic Resonance in Medicine , vol.50 , Issue.4 , pp. 749-757
    • Wilke, M.1    Schmithorst, V.2    Holland, S.3
  • 159
    • 54449096531 scopus 로고    scopus 로고
    • Infant brain probability templates for MRI segmentation and normalization
    • Altaye M., Holland S.K., Wilke M., Gaser C. Infant brain probability templates for MRI segmentation and normalization. NeuroImage 2008, 43(4):721-730.
    • (2008) NeuroImage , vol.43 , Issue.4 , pp. 721-730
    • Altaye, M.1    Holland, S.K.2    Wilke, M.3    Gaser, C.4
  • 160
    • 80655124043 scopus 로고    scopus 로고
    • Mapping brain maturation
    • Toga A.W., Thompson P.M., Sowell E.R. Mapping brain maturation. Focus 2006, 4(3):378-390.
    • (2006) Focus , vol.4 , Issue.3 , pp. 378-390
    • Toga, A.W.1    Thompson, P.M.2    Sowell, E.R.3
  • 161
    • 51049095438 scopus 로고    scopus 로고
    • Construction of a patient-specific atlas of the brain: application to normal aging
    • Ericsson A., Aljabar P., Rueckert D. Construction of a patient-specific atlas of the brain: application to normal aging. IEEE Int. Symp. Biomed. Imag. 2008, 480-483.
    • (2008) IEEE Int. Symp. Biomed. Imag. , pp. 480-483
    • Ericsson, A.1    Aljabar, P.2    Rueckert, D.3
  • 162
    • 77956061106 scopus 로고    scopus 로고
    • A spatiotemporal atlas of MR intensity, tissue probability and shape of the fetal brain with application to segmentation
    • Habas P.A., Kim K., Corbett-Detig J.M., Rousseau F., Glenn O.A., Barkovich A.J., Studholme C. A spatiotemporal atlas of MR intensity, tissue probability and shape of the fetal brain with application to segmentation. NeuroImage 2010, 53(2):460-470.
    • (2010) NeuroImage , vol.53 , Issue.2 , pp. 460-470
    • Habas, P.A.1    Kim, K.2    Corbett-Detig, J.M.3    Rousseau, F.4    Glenn, O.A.5    Barkovich, A.J.6    Studholme, C.7
  • 166
    • 77951945513 scopus 로고    scopus 로고
    • Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation
    • Shi F., Yap P.-T., Fan Y., Gilmore J.H., Lin W., Shen D. Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation. NeuroImage 2010, 51(2):684-693.
    • (2010) NeuroImage , vol.51 , Issue.2 , pp. 684-693
    • Shi, F.1    Yap, P.-T.2    Fan, Y.3    Gilmore, J.H.4    Lin, W.5    Shen, D.6
  • 167
    • 27744524665 scopus 로고    scopus 로고
    • Computer-aided placement of deep brain stimulators: from planningto intraoperative guidance
    • D'Haese P.-F., Cetinkaya E., Konrad P., Kao C., Dawant B. Computer-aided placement of deep brain stimulators: from planningto intraoperative guidance. IEEE Trans. Med. Imag. 2005, 24(11):1469-1478.
    • (2005) IEEE Trans. Med. Imag. , vol.24 , Issue.11 , pp. 1469-1478
    • D'Haese, P.-F.1    Cetinkaya, E.2    Konrad, P.3    Kao, C.4    Dawant, B.5
  • 168
    • 33750818076 scopus 로고    scopus 로고
    • A cross validation study of deep brain stimulation targeting: from experts to atlas-based, segmentation-based and automatic registration algorithms
    • Sanchez Castro F., Pollo C., Meuli R., Maeder P., Cuisenaire O., Bach Cuadra M., Villemure J., Thiran J. A cross validation study of deep brain stimulation targeting: from experts to atlas-based, segmentation-based and automatic registration algorithms. IEEE Trans. Med. Imag. 2006, 25(11):1440-1450.
    • (2006) IEEE Trans. Med. Imag. , vol.25 , Issue.11 , pp. 1440-1450
    • Sanchez Castro, F.1    Pollo, C.2    Meuli, R.3    Maeder, P.4    Cuisenaire, O.5    Bach Cuadra, M.6    Villemure, J.7    Thiran, J.8
  • 171
    • 0037347363 scopus 로고    scopus 로고
    • Image registration via level-set motion: applications to atlas-based segmentation
    • Vemuri B.C., Ye J., Chen Y., Leonard C.M. Image registration via level-set motion: applications to atlas-based segmentation. Med. Image Anal. 2003, 7(1):1-20.
    • (2003) Med. Image Anal. , vol.7 , Issue.1 , pp. 1-20
    • Vemuri, B.C.1    Ye, J.2    Chen, Y.3    Leonard, C.M.4
  • 172
    • 0035698224 scopus 로고    scopus 로고
    • A variational framework for joint segmentation and registration, in
    • MMBIA 2001. IEEE Workshop on
    • A. Yezzi, L. Zollei, T. Kapur, A variational framework for joint segmentation and registration, in: Mathematical Methods in Biomedical Image Analysis, 2001. MMBIA 2001. IEEE Workshop on 2001, pp. 44-51.
    • (2001) Mathematical Methods in Biomedical Image Analysis , pp. 44-51
    • Yezzi, A.1    Zollei, L.2    Kapur, T.3
  • 174
    • 60349104078 scopus 로고    scopus 로고
    • Mumford shah based registration: a comparison of a level set and a phase field approach
    • Droske M., Ring W., Rumpf M. Mumford shah based registration: a comparison of a level set and a phase field approach. Comput. Visual. Sci. 2009, 12:101-114.
    • (2009) Comput. Visual. Sci. , vol.12 , pp. 101-114
    • Droske, M.1    Ring, W.2    Rumpf, M.3
  • 175
    • 0142210305 scopus 로고    scopus 로고
    • Map MRF joint segmentation and registration of medical images
    • Wyatt P.P., Noble J. Map MRF joint segmentation and registration of medical images. Med. Image Anal. 2003, 7(4):539-552.
    • (2003) Med. Image Anal. , vol.7 , Issue.4 , pp. 539-552
    • Wyatt, P.P.1    Noble, J.2
  • 177
    • 0000250265 scopus 로고
    • Measures of the amount of ecologic association between species
    • Dice L.R. Measures of the amount of ecologic association between species. Ecology 1945, 26(3):297-302.
    • (1945) Ecology , vol.26 , Issue.3 , pp. 297-302
    • Dice, L.R.1
  • 178
    • 0026045948 scopus 로고
    • Measurement and reliability: statistical thinking considerations
    • Bartko J. Measurement and reliability: statistical thinking considerations. Schizophr. Bull. 1991, 17(3):483-489.
    • (1991) Schizophr. Bull. , vol.17 , Issue.3 , pp. 483-489
    • Bartko, J.1
  • 179
    • 84980090975 scopus 로고
    • The distribution of flora in the alpine zone
    • Jaccard P. The distribution of flora in the alpine zone. New Phytol. 1912, 11(2):37-50.
    • (1912) New Phytol. , vol.11 , Issue.2 , pp. 37-50
    • Jaccard, P.1


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