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Volumn 28, Issue 6, 2009, Pages 822-837

Encoding probabilistic brain atlases using Bayesian inference

Author keywords

Atlas formation; Bayesian inference; Brain modeling; Computational anatomy; Image registration; Mesh generation; Model comparison

Indexed keywords

ATLAS FORMATION; BAYESIAN INFERENCE; BRAIN MODELING; COMPUTATIONAL ANATOMY; MODEL COMPARISON;

EID: 66249105028     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2008.2010434     Document Type: Article
Times cited : (72)

References (61)
  • 1
    • 0033201366 scopus 로고    scopus 로고
    • Automated model-based tissue classification of MR images of the brain
    • Oct
    • K. Van Leemput, F. Maes, D. Vandermeulen, and P. Suetens, "Automated model-based tissue classification of MR images of the brain," IEEE Trans. Med. Imag., vol. 18, no. 10, pp. 897-908, Oct. 1999.
    • (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
  • 2
    • 0036826508 scopus 로고    scopus 로고
    • Automatic "pipeline" analysis of 3-D MRI data for clinical trials: Application to multiple sclerosis
    • Oct
    • A. Zijdenbos, R. Forghani, and A. Evans, "Automatic "pipeline" analysis of 3-D MRI data for clinical trials: Application to multiple sclerosis," IEEE Trans. Med. Imag., vol. 21, no. 10, pp. 1280-1291, Oct. 2002.
    • (2002) IEEE Trans. Med. Imag , vol.21 , Issue.10 , pp. 1280-1291
    • Zijdenbos, A.1    Forghani, R.2    Evans, A.3
  • 4
    • 20444501009 scopus 로고    scopus 로고
    • Unified segmentation
    • J. Ashburner and K. Friston, "Unified segmentation," NeuroImage, vol. 26, pp. 839-851, 2005.
    • (2005) NeuroImage , vol.26 , pp. 839-851
    • Ashburner, J.1    Friston, K.2
  • 5
    • 23844494015 scopus 로고    scopus 로고
    • Automatic segmentation of MR images of the developing newborn brain
    • M. Prastawa, J. Gilmore, W. Lin, and G. Gerig, "Automatic segmentation of MR images of the developing newborn brain," Med. Image Anal, vol. 9, pp. 457-466, 2005.
    • (2005) Med. Image Anal , vol.9 , pp. 457-466
    • Prastawa, M.1    Gilmore, J.2    Lin, W.3    Gerig, G.4
  • 6
    • 33748784605 scopus 로고    scopus 로고
    • Automatic anatomical brain MRI segmentation combining label propagation and decision fusion
    • Oct
    • R. Heckemann, J. Hajnal, P. Aljabar, D. Rueckert, and A. Hammers, "Automatic anatomical brain MRI segmentation combining label propagation and decision fusion,"NeuroImage, vol. 33, no. l,pp. 115-126, Oct. 2006.
    • (2006) NeuroImage , vol.33 , Issue.L , pp. 115-126
    • Heckemann, R.1    Hajnal, J.2    Aljabar, P.3    Rueckert, D.4    Hammers, A.5
  • 7
    • 33747434409 scopus 로고    scopus 로고
    • A Bayesian model for joint segmentation and registration
    • May
    • K. Pohl, J. Fisher, W. Grimson, R. Kikinis, and W. Wells, "A Bayesian model for joint segmentation and registration," NeuroImage, vol. 31, no. 1, pp. 228-239, May 2006.
    • (2006) NeuroImage , vol.31 , Issue.1 , pp. 228-239
    • Pohl, K.1    Fisher, J.2    Grimson, W.3    Kikinis, R.4    Wells, W.5
  • 8
    • 33746375691 scopus 로고    scopus 로고
    • A unified framework for atlas based brain image segmentation and registration
    • New York: Springer-Verlag, Lecture Note Computer Science, pp
    • E. D'Agostino, F. Maes, D. Vandermeulen, and P. Suetens, "A unified framework for atlas based brain image segmentation and registration," in WBIR 2006. New York: Springer-Verlag, 2006, vol. 4057, Lecture Note Computer Science, pp. 136-143.
    • (2006) WBIR 2006 , vol.4057 , pp. 136-143
    • D'Agostino, E.1    Maes, F.2    Vandermeulen, D.3    Suetens, P.4
  • 9
    • 33747868671 scopus 로고    scopus 로고
    • Adaptive Markov modeling for mutual-information-based, unsupervised MRI brain-tissue classification
    • S. Awate, T. Tasdizen, N. Foster, and R. Whitaker, "Adaptive Markov modeling for mutual-information-based, unsupervised MRI brain-tissue classification," Med. Image Anal, vol. 10, no. 5, pp. 726-739, 2006.
    • (2006) Med. Image Anal , vol.10 , Issue.5 , pp. 726-739
    • Awate, S.1    Tasdizen, T.2    Foster, N.3    Whitaker, R.4
  • 10
    • 66249128848 scopus 로고    scopus 로고
    • J. Ashburner, Computational neuroanatomy, Ph.D. dissertation, Univ. London, London, U.K., 2000.
    • J. Ashburner, "Computational neuroanatomy," Ph.D. dissertation, Univ. London, London, U.K., 2000.
  • 11
    • 20344370043 scopus 로고    scopus 로고
    • Multi-subject registration for unbiased statistical atlas construction
    • MICCAI 2004. New York: Springer-Verlag
    • M. De Craene, A. du Bois d'Aische, B. Macq, and S. Warfield, "Multi-subject registration for unbiased statistical atlas construction," in MICCAI 2004. New York: Springer-Verlag, 2004, vol. 3216, Lecture Notes Computer Science, pp. 655-662.
    • (2004) Lecture Notes Computer Science , vol.3216 , pp. 655-662
    • De Craene, M.1    du Bois d'Aische, A.2    Macq, B.3    Warfield, S.4
  • 13
    • 7044239648 scopus 로고    scopus 로고
    • Geodesic estimation for large deformation anatomical shape averaging and interpolation
    • B. Avants and J. Gee, "Geodesic estimation for large deformation anatomical shape averaging and interpolation," NeuroImage, vol. 23, no. 1, pp. 139-150, 2004.
    • (2004) NeuroImage , vol.23 , Issue.1 , pp. 139-150
    • Avants, B.1    Gee, J.2
  • 15
    • 20344386763 scopus 로고    scopus 로고
    • Construction of a brain template from MR images using state-of-the-art registration and segmentation techniques
    • MICCAI 2004. New York: Springer-Verlag
    • D. Seghers, E. D'Agostino, F. Maes, D. Vandermeulen, and P. Suetens, "Construction of a brain template from MR images using state-of-the-art registration and segmentation techniques," in MICCAI 2004. New York: Springer-Verlag, 2004, vol. 3216, Lecture Notes Computer Science, pp. 696-703.
    • (2004) Lecture Notes Computer Science , vol.3216 , pp. 696-703
    • Seghers, D.1    D'Agostino, E.2    Maes, F.3    Vandermeulen, D.4    Suetens, P.5
  • 16
    • 33746363799 scopus 로고    scopus 로고
    • A unified information theoretic framework for pair- and group-wise registration of medical images,
    • Ph.D. dissertation, Massachusetts Institute of Technology, Cambridge
    • L. Zollei, "A unified information theoretic framework for pair- and group-wise registration of medical images," Ph.D. dissertation, Massachusetts Institute of Technology, Cambridge, 2006.
    • (2006)
    • Zollei, L.1
  • 18
    • 0142183421 scopus 로고    scopus 로고
    • Simultaneous population based image alignment for template free spatial normalisation of brain anatomy
    • C. Studholme, "Simultaneous population based image alignment for template free spatial normalisation of brain anatomy," Biomed. Image Registration - WBIR, vol. 2717, pp. 81-90, 2003.
    • (2003) Biomed. Image Registration - WBIR , vol.2717 , pp. 81-90
    • Studholme, C.1
  • 19
    • 7044260966 scopus 로고    scopus 로고
    • Unbiased diffeomorphic atlas construction for computational anatomy
    • S. Joshi, B. Davis, M. Jomier, and G. Gerig, "Unbiased diffeomorphic atlas construction for computational anatomy," NeuroImage, vol. 23, no. 1, pp. 151-160, 2004.
    • (2004) NeuroImage , vol.23 , Issue.1 , pp. 151-160
    • Joshi, S.1    Davis, B.2    Jomier, M.3    Gerig, G.4
  • 20
    • 0032799995 scopus 로고    scopus 로고
    • High-dimensional image registration using symmetric priors
    • Jun
    • J. Ashburner, J. Andersson, and K. Friston, "High-dimensional image registration using symmetric priors," NeuroImage, vol. 9, no. 6, pt. 1, pp. 619-628, Jun. 1999.
    • (1999) NeuroImage , vol.9 , Issue.6 PART. 1 , pp. 619-628
    • Ashburner, J.1    Andersson, J.2    Friston, K.3
  • 21
    • 0034127786 scopus 로고    scopus 로고
    • Image registration using a symmetric prior-in three dimensions
    • Apr
    • J. Ashburner, J. Andersson, and K. Friston, "Image registration using a symmetric prior-in three dimensions," Human Brain Mapp., vol. 9, no. 4, pp. 212-225, Apr. 2000.
    • (2000) Human Brain Mapp , vol.9 , Issue.4 , pp. 212-225
    • Ashburner, J.1    Andersson, J.2    Friston, K.3
  • 22
  • 24
    • 0036689044 scopus 로고    scopus 로고
    • An accurate and efficient bayesian method for automatic segmentation of brain MRI
    • Aug
    • J. Marroquin, B. V. S. Botello, F. Calderon, and A. Fernandez-Bouzas, "An accurate and efficient bayesian method for automatic segmentation of brain MRI," IEEE Trans. Med. Imag., vol. 21, no. 8, pp. 934-945, Aug. 2002.
    • (2002) IEEE Trans. Med. Imag , vol.21 , Issue.8 , pp. 934-945
    • Marroquin, J.1    Botello, B.V.S.2    Calderon, F.3    Fernandez-Bouzas, A.4
  • 25
    • 0142260969 scopus 로고    scopus 로고
    • A fully automatic and robust brain MRI tissue classification method
    • C. Cocosco, A. Zijdenbos, and A. Evans, "A fully automatic and robust brain MRI tissue classification method," Med. Image Anal., vol. 7, pp. 513-527, 2003.
    • (2003) Med. Image Anal , vol.7 , pp. 513-527
    • Cocosco, C.1    Zijdenbos, A.2    Evans, A.3
  • 27
    • 79551686406 scopus 로고    scopus 로고
    • Probabilistic brain atlas encoding using Bayesian inference
    • MICCAI 2006. New York: Springer-Verlag
    • K. Van Leemput, "Probabilistic brain atlas encoding using Bayesian inference," in MICCAI 2006. New York: Springer-Verlag, 2006, vol. 4190, Lecture Notes Computer Science, pp. 704-711.
    • (2006) Lecture Notes Computer Science , vol.4190 , pp. 704-711
    • Van Leemput, K.1
  • 29
    • 0003754109 scopus 로고
    • Deformable shape models for anatomy,
    • Ph.D. dissertation, Washington Univ, Saint Louis, MO, Aug
    • G. Christensen, "Deformable shape models for anatomy," Ph.D. dissertation, Washington Univ., Saint Louis, MO, Aug. 1994.
    • (1994)
    • Christensen, G.1
  • 30
    • 0012298067 scopus 로고    scopus 로고
    • Brownian warps: A least committed prior for non-rigid registration
    • MICCAI 2002. New York: Springer-Verlag
    • M. Nielsen, P. Johansen, A. Jackson, and B. Lautrup, "Brownian warps: A least committed prior for non-rigid registration," in MICCAI 2002. New York: Springer-Verlag, 2002, vol. 2489, Lecture Notes Computer Science, pp. 557-564.
    • (2002) Lecture Notes Computer Science , vol.2489 , pp. 557-564
    • Nielsen, M.1    Johansen, P.2    Jackson, A.3    Lautrup, B.4
  • 31
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • A. Dempster, N. Laird, and D. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. R. Stat. Soc., vol. 39, pp. 1-38, 1977.
    • (1977) J. R. Stat. Soc , vol.39 , pp. 1-38
    • Dempster, A.1    Laird, N.2    Rubin, D.3
  • 32
    • 0000582521 scopus 로고
    • Statistical analysis of non-lattice data
    • J. Besag, "Statistical analysis of non-lattice data," Statistician, vol. 24, no. 3, pp. 179-195, 1975.
    • (1975) Statistician , vol.24 , Issue.3 , pp. 179-195
    • Besag, J.1
  • 33
    • 66249083029 scopus 로고    scopus 로고
    • Internet brain segmentation repository IBSR, Online, Available
    • Internet brain segmentation repository (IBSR) [Online]. Available: http://www.cma.mgh.harvard.edu/ibsr
  • 34
    • 0031106962 scopus 로고    scopus 로고
    • Multimodality image registration by maximization of mutual information
    • Apr
    • F. Maes, A. Collignon, D. Vandermeulen, G. Marchal, and P. Suetens, "Multimodality image registration by maximization of mutual information," IEEE Trans. Med. Imag., vol. 16, no. 2, pp. 187-198, Apr. 1997.
    • (1997) IEEE Trans. Med. Imag , vol.16 , Issue.2 , pp. 187-198
    • Maes, F.1    Collignon, A.2    Vandermeulen, D.3    Marchal, G.4    Suetens, P.5
  • 36
    • 0030383840 scopus 로고    scopus 로고
    • Progressive meshes
    • H. Hoppe, "Progressive meshes," in ACM SIGGRAPH 1996, 1996, pp. 99-108.
    • (1996) ACM SIGGRAPH 1996 , pp. 99-108
    • Hoppe, H.1
  • 38
    • 0000013152 scopus 로고
    • On the statistical analysis of dirty pictures
    • J. Besag, "On the statistical analysis of dirty pictures," J. R. Stat. Soc. Series B (Methodological), vol. 48, no. 3, pp. 259-302, 1986.
    • (1986) J. R. Stat. Soc. Series B (Methodological) , vol.48 , Issue.3 , pp. 259-302
    • Besag, J.1
  • 41
    • 0033201365 scopus 로고    scopus 로고
    • Automated model-based bias field correction of MR images of the brain
    • Oct
    • K. Van Leemput, F. Maes, D. Vandermeulen, and P. Suetens, "Automated model-based bias field correction of MR images of the brain," IEEE Trans. Med. Imag., vol. 18, no. 10, pp. 885-896, Oct. 1999.
    • (1999) IEEE Trans. Med. Imag , vol.18 , Issue.10 , pp. 885-896
    • Van Leemput, K.1    Maes, F.2    Vandermeulen, D.3    Suetens, P.4
  • 42
    • 0033181293 scopus 로고    scopus 로고
    • Adaptive fuzzy segmentation of magnetic resonance images
    • Sep
    • D. Pham and J. Prince, "Adaptive fuzzy segmentation of magnetic resonance images," IEEE Trans. Med. Imag., vol. 18, no. 9, pp. 737-752, Sep. 1999.
    • (1999) IEEE Trans. Med. Imag , vol.18 , Issue.9 , pp. 737-752
    • Pham, D.1    Prince, J.2
  • 43
    • 0034745001 scopus 로고    scopus 로고
    • Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
    • Y. Zhang, M. Brady, and S. Smith, "Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm," IEEE Trans. Med. Imag., vol. 20, no. 1, pp. 45-57, 2001.
    • (2001) IEEE Trans. Med. Imag , vol.20 , Issue.1 , pp. 45-57
    • Zhang, Y.1    Brady, M.2    Smith, S.3
  • 44
    • 66249126197 scopus 로고    scopus 로고
    • Bayesian shape and appearance models Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Univ. Oxford, Oxford, U.K
    • Tech. Rep. TR07BP1
    • B. Patenaude, S. Smith, D. Kennedy, and M. Jenkinson, Bayesian shape and appearance models Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Univ. Oxford, Oxford, U.K., Tech. Rep. TR07BP1, 2007.
    • (2007)
    • Patenaude, B.1    Smith, S.2    Kennedy, D.3    Jenkinson, M.4
  • 45
    • 41649091676 scopus 로고    scopus 로고
    • Brain anatomical structure segmentation by hybrid discriminative/ generative models
    • Apr
    • Z. Tu, K. Narr, P. Dollar, I. Dinov, P. Thompson, and A. Toga, "Brain anatomical structure segmentation by hybrid discriminative/ generative models," IEEE Trans. Med. Imag., vol. 27, no. 4, pp. 495-508, Apr. 2008.
    • (2008) IEEE Trans. Med. Imag , vol.27 , Issue.4 , pp. 495-508
    • Tu, Z.1    Narr, K.2    Dollar, P.3    Dinov, I.4    Thompson, P.5    Toga, A.6
  • 46
    • 33644857757 scopus 로고    scopus 로고
    • Data driven image models through continuous joint alignment
    • Feb
    • E. Learned-Miller, "Data driven image models through continuous joint alignment," IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 2, pp. 236-250, Feb. 2006.
    • (2006) IEEE Trans. Pattern Anal. Mach. Intell , vol.28 , Issue.2 , pp. 236-250
    • Learned-Miller, E.1
  • 47
    • 1942438249 scopus 로고    scopus 로고
    • Simultaneous truth and performance level estimation (STAPLE): An algorithm for the validation of image segmentation
    • Jul
    • S. Warfield, K. Zou, and W. Wells, "Simultaneous truth and performance level estimation (STAPLE): An algorithm for the validation of image segmentation," IEEE Trans. Med. Imag., vol. 23, no. 7, pp. 903-921, Jul. 2004.
    • (2004) IEEE Trans. Med. Imag , vol.23 , Issue.7 , pp. 903-921
    • Warfield, S.1    Zou, K.2    Wells, W.3
  • 48
    • 33846207428 scopus 로고    scopus 로고
    • Towards a coherent statistical framework for dense deformable template estimation
    • S. Allassonnière, Y. Amit, and A. Trouvé, "Towards a coherent statistical framework for dense deformable template estimation," J. R. Stat. Soc: Series B (Stat. Methodol), vol. 69, no. 1, pp. 3-29, 2007.
    • (2007) J. R. Stat. Soc: Series B (Stat. Methodol) , vol.69 , Issue.1 , pp. 3-29
    • Allassonnière, S.1    Amit, Y.2    Trouvé, A.3
  • 50
    • 0041525280 scopus 로고    scopus 로고
    • Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration
    • Aug
    • D. Rueckert, A. Frangi, and J. Schnabel, "Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration," IEEE Trans. Med. Imag., vol. 22, no. 8, pp. 1014-1025, Aug. 2003.
    • (2003) IEEE Trans. Med. Imag , vol.22 , Issue.8 , pp. 1014-1025
    • Rueckert, D.1    Frangi, A.2    Schnabel, J.3
  • 51
    • 0004078704 scopus 로고    scopus 로고
    • Large deformation diffeomorphisms and Gaussian random fields for statistical characterization of brain submanifolds,
    • Ph.D. dissertation, Washington Univ, St. Louis, MO
    • S. Joshi, "Large deformation diffeomorphisms and Gaussian random fields for statistical characterization of brain submanifolds," Ph.D. dissertation, Washington Univ., St. Louis, MO, 1998.
    • (1998)
    • Joshi, S.1
  • 52
    • 33747837711 scopus 로고    scopus 로고
    • Statistical representation of high-dimensional deformation fields with application to statistically constrained 3D warping
    • Oct
    • Z. Xue, D. Shen, and C. Davatzikos, "Statistical representation of high-dimensional deformation fields with application to statistically constrained 3D warping," Med. Image Anal., vol. 10, no. 5, pp. 740-751, Oct. 2006.
    • (2006) Med. Image Anal , vol.10 , Issue.5 , pp. 740-751
    • Xue, Z.1    Shen, D.2    Davatzikos, C.3
  • 54
    • 0033201360 scopus 로고    scopus 로고
    • Elastic model-based segmentation of 3-D neuroradiological data sets
    • Oct
    • A. Kelemen, G. Szekely, and G. Gerig, "Elastic model-based segmentation of 3-D neuroradiological data sets," IEEE Trans. Med. Imag., vol. 18, no. 10, pp. 828-839, Oct. 1999.
    • (1999) IEEE Trans. Med. Imag , vol.18 , Issue.10 , pp. 828-839
    • Kelemen, A.1    Szekely, G.2    Gerig, G.3
  • 56
    • 10844297447 scopus 로고    scopus 로고
    • Compact representations for fast nonrigid registration of medical images,
    • Ph.D. dissertation, Massachusetts Inst. Technol, Cambridge
    • S. Timoner, "Compact representations for fast nonrigid registration of medical images," Ph.D. dissertation, Massachusetts Inst. Technol., Cambridge, 2003.
    • (2003)
    • Timoner, S.1
  • 57
    • 0344033872 scopus 로고    scopus 로고
    • The adaptive bases algorithm for intensity-based nonrigid image registration
    • Nov
    • G. Rohde, A. Aldroubi, and B. Dawant, "The adaptive bases algorithm for intensity-based nonrigid image registration," IEEE Trans. Med. Imag., vol. 22, no. 11, pp. 1470-1479, Nov. 2003.
    • (2003) IEEE Trans. Med. Imag , vol.22 , Issue.11 , pp. 1470-1479
    • Rohde, G.1    Aldroubi, A.2    Dawant, B.3
  • 58
    • 0000273048 scopus 로고    scopus 로고
    • Annealed importance sampling
    • R. Neal, "Annealed importance sampling," Statist. Comput., vol. 11, no. 2, pp. 125-139, 2001.
    • (2001) Statist. Comput , vol.11 , Issue.2 , pp. 125-139
    • Neal, R.1
  • 59
    • 0030269623 scopus 로고    scopus 로고
    • Deformable templates using large deformation kinematics
    • G. Christensen, R. Rabbitt, and M. Miller, "Deformable templates using large deformation kinematics," IEEE Trans. Image Process., vol. 5, no. 10, pp. 1435-1447, 1996.
    • (1996) IEEE Trans. Image Process , vol.5 , Issue.10 , pp. 1435-1447
    • Christensen, G.1    Rabbitt, R.2    Miller, M.3
  • 60
    • 5444276422 scopus 로고    scopus 로고
    • Computing large deformation metric mappings via geodesic flows of diffeomorphisms
    • M. Beg, M. Miller, A. Trouvé, and L. Younes, "Computing large deformation metric mappings via geodesic flows of diffeomorphisms," Int. J. Comput. Vis., vol. 61, no. 2, pp. 139-157, 2005.
    • (2005) Int. J. Comput. Vis , vol.61 , Issue.2 , pp. 139-157
    • Beg, M.1    Miller, M.2    Trouvé, A.3    Younes, L.4


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