Unified segmentation

NeuroImage

Volumn 26, Issue 3, 2005, Pages 839-851

  Ashburner, John ^a   Friston, Karl J ^a  

^a WELLCOME TRUST CENTRE FOR NEUROIMAGING   (United Kingdom)

Author keywords

Bias correction; Image registration; Mixture of Gaussians; Tissue classification; Tissue probability maps

Indexed keywords

ARTICLE; IMAGING; MATHEMATICAL COMPUTING; MODEL; NORMAL DISTRIBUTION; PARAMETER; PRIORITY JOURNAL; PROBABILITY;

ALGORITHMS; BRAIN MAPPING; DATA INTERPRETATION, STATISTICAL; FUZZY LOGIC; IMAGE PROCESSING, COMPUTER-ASSISTED; LIKELIHOOD FUNCTIONS; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NONLINEAR DYNAMICS; NORMAL DISTRIBUTION; PROBABILITY THEORY;

EID: 20444501009     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2005.02.018     Document Type: Article

References (74)

1. Y. Amit, U. Grenander, and M. Piccioni Structural image restoration through deformable templates J. Am. Stat. Assoc. 86 1991 376 387
2. J.B. Arnold, J.S. Liow, K.A. Schaper, J.J. Stern, J.G. Sled, D.W. Shattuck, A.J. Worth, M.S. Cohen, R.M. Leahy, J.C. Mazziotta, and D.A. Rottenberg Qualitative and quantitative evaluation of six algorithms for correcting intensity nonuniformity effect NeuroImage 13 5 2001 931 943
3. J. Ashburner, and K.J. Friston Multimodal image coregistration and partitioning-a unified framework NeuroImage 6 3 1997 209 217
4. J. Ashburner, and K.J. Friston Nonlinear spatial normalization using basis functions Hum. Brain Mapp. 7 4 1999 254 266
5. J. Ashburner, and K.J. Friston Voxel-based morphometry-the methods NeuroImage 11 2000 805 821
6. J. Ashburner, J. Andersson, and K.J. Friston High-dimensional nonlinear image registration using symmetric priors NeuroImage 9 1999 619 628
7. J. Ashburner, J. Andersson, and K.J. Friston Image registration using a symmetric prior-in three-dimensions Hum. Brain Mapp. 9 4 2000 212 225
8. B. Avants, and J.C. Gee Geodesic estimation for large deformation anatomical shape averaging and interpolation NeuroImage 23 2004 S139 S150
9. J. Besag On the statistical analysis of dirty pictures J. R. Stat. Soc., B 48 3 1986 259 302
10. C.M. Bishop Neural Networks for Pattern Recognition 1995 Oxford Univ. Press
11. F.L. Bookstein Landmark methods for forms without landmarks: morphometrics of group differences in outline shape Med. Image Anal. 1 3 1997 225 243
12. M. Bro-Nielsen, and C. Gramkow Fast fluid registration of medical images Lect. Notes Comput. Sci. 1131 1996 267 276
13. G.E. Christensen, R.D. Rabbitt, M.I. Miller, S.C. Joshi, U. Grenander, T.A. Coogan, and D.C. Van Essen Topological properties of smooth anatomic maps Y. Bizais C. Barillot R. Di Paola Proc. Information Processing in Medical Imaging 1995 Kluwer Academic Publishers Dordrecht, The Netherlands
14. G.E. Christensen, R.D. Rabbitt, and M.I. Miller Deformable templates using large deformation kinematics IEEE Trans. Image Process. 5 1996 1435 1447
15. C. Cocosco, V. Kollokian, R.-S. Kwan, and A. Evans Brainweb: online interface to a 3D MRI simulated brain database NeuroImage 5 4 1997 S425
16. D.L. Collins, T.M. Peters, and A.C. Evans An automated 3D non-linear image deformation procedure for determination of gross morphometric variability in human brain Proc. Visualization in Biomedical Computing 1994
17. D.L. Collins, A.C. Evans, C. Holmes, and T.M. Peters Automatic 3D segmentation of neuro-anatomical structures from MRI Y. Bizais C. Barillot R. Di Paola Proc. Information Processing in Medical Imaging 1995 Kluwer Academic Publishers Dordrecht, The Netherlands
18. D. Collins, A. Zijdenbos, V. Kollokian, J. Sled, N. Kabani, C. Holmes, and A. Evans Design and construction of a realistic digital brain phantom IEEE Trans. Med. Imaging 17 3 1998 463 468
19. E. D'Agostino, F. Maes, D. Vandermeulen, and P. Suetens Non-rigid atlas-to-image registration by minimization of class-conditional image entropy C. Barillot D. Haynor P. Hellier Proc. MICCAI 2004. LNCS 3216 2004 Springer-Verlag Berlin Heidelberg
20. C. Davatzikos Spatial normalization of 3D images using deformable models J. Comput. Assist. Tomogr. 20 4 1996 656 665
21. A.P. Dempster, N.M. Laird, and D.B. Rubin Maximum Likelihood From Incomplete Data Via the EM Algorithm 1977
22. P.J. Edwards, D.L.G. Hill, and D.J. Hawkes Image guided interventions using a three component tissue deformation model Proc. Medical Image Understanding and Analysis 1997
23. A.C. Evans Commentary Hum. Brain Mapp. 2 1995 165 189
24. A.C. Evans, M. Kamber, D.L. Collins, and D. Macdonald An MRI-based probabilistic atlas of neuroanatomy S. Shorvon D. Fish F. Andermann G.M. Bydder S.H. Magnetic Resonance Scanning and Epilepsy NATO ASI Ser., Ser. A: Life Sci. vol. 264 1994 Plenum Press 263 274
25. B. Fischl, D.H. Salat, E. Busa, M. Albert, M. Dieterich, C. Haselgrove, A. van der Kouwe, R. Killiany, D. Kennedy, S. Klaveness, A. Montillo, N. Makris, B. Rosen, and A.M. Dale Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain Neuron 33 2002 341 355
26. B. Fischl, D.H. Salat, A. van der Kouwe, N. Makris, F. Ségonne, B.T. Quinn, and A.M. Dale Sequence-independent segmentation of magnetic resonance images NeuroImage 23 2004 S69 S84
27. K. Fissell, E. Tseytlin, D. Cunningham, C.S. Carter, W. Schneider, and J.D. Cohen Fiswidgets: a graphical computing environment for neuroimaging analysis Neuroinformatics 1 1 2003 111 125
28. K.J. Friston, J. Ashburner, C.D. Frith, J.-B. Poline, J.D. Heather, and R.S.J. Frackowiak Spatial registration and normalization of images Hum. Brain Mapp. 2 1995 165 189
29. M. Garza-Jinich, O. Yanez, V. Medina, and P. Meer Automatic correction of bias field in magnetic resonance images Proc International Conference on Image Analysis and Processing 1999
30. J.C. Gee, D.R. Haynor, L. Le Briquer, and R.K. Bajcsy Advances in elastic matching theory and its implementation P. Cinquin R. Kikinis S. Lavallee Proc. CVRMed-MRCAS'97 1997 Springer-Verlag Heidelberg
31. C.D. Good, I.S. Johnsrude, J. Ashburner, R.N.A. Henson, K.J. Friston, and R.S.J. Frackowiak A voxel-based morphometric study of ageing in 465 normal adult human brains NeuroImage 14 2001 21 36
32. P. Hellier, C. Barillot, I. Corouge, B. Gibaud, G. Le Goualher, D.L. Collins, A.C. Evans, G. Malandain, and N. Ayache Retrospective evaluation of inter-subject brain registration W.J. Niessen M.A. Viergever MIUA 2001 Springer Utrecht, The Netherlands
33. P. Hellier, J. Ashburner, I. Corouge, C. Barillot, and K.J. Friston Inter subject registration of functional and anatomical data using spm Medical Image Computing and Computer Assisted Intervention 2002, MICCAI'02, LNCS 2489 (Tokyo) 2002
34. S.C. Joshi, and M.I. Miller Landmark matching via large deformation diffeomorphisms IEEE Transactions on Medical Imaging 9 8 2000 1357 1370
35. S. Joshi, B. Davis, M. Jomier, and G. Gerig Unbiased diffeomorphic atlas construction for computational anatomy NeuroImage 23 2004 S151 S160
36. R.K.-S. Kwan, A.C. Evans, and G.B. Pike An extensible MRI simulator for post-processing evaluation Proc. Visualization in Biomedical Computing 1996
37. J. Kybic, and M. Unser Fast parametric elastic image registration IEEE Trans. Med. Imaging 12 11 2003 1427 1442
38. D.H. Laidlaw, K.W. Fleischer, and A.H. Barr Partial-volume Bayesian classification of material mixtures in MR volume data using voxel histograms IEEE Trans. Med. Imaging 17 1 1998 74 86
39. B. Likar, M.A. Viergever, and F. Pernuš Retrospective correction of MR intensity inhomogeneity by information minimization IEEE Trans. Med. Imaging 20 12 2001 1398 1410
40. D. MacDonald, N. Kabani, D. Avis, and A.C. Evans Automated 3-d extraction of inner and outer surfaces of cerebral cortex from MRI NeuroImage 12 2000 340 356
41. J.-F. Mangin Entropy minimization for automatic correction of intensity nonuniformity Proc. IEEE Workshop on Mathematical Methods in Biomedical Image Analysis 2000
42. M.I. Miller Computational anatomy: shape, growth, and atrophy comparison via diffeomorphisms NeuroImage 23 2004 S19 S33
43. M. Miller, and L. Younes Group actions, homeomorphisms, and matching: a general framework Int. J. Comput. Vis. 41 1 2001 61 84
44. M.I. Miller, G.E. Christensen, Y. Amit, and U. Grenander Mathematical textbook of deformable neuroanatomies Proc. Natl. Acad. Sci. 90 1993 11944 11948
45. M. Miller, A. Banerjee, G. Christensen, S. Joshi, and N. Khaneja Statistical methods in computational anatomy Stat. Methods Med. Res. 6 1997 267 299
46. R.M. Neal, and G.E. Hinton A view of the EM algorithm that justifies incremental, sparse, and other variants M.I. Jordan Learning in Graphical Model 1998
47. D.L. Pham, and J.L. Prince Adaptive fuzzy segmentation of magnetic resonance images IEEE Trans. Med. Imaging 18 9 1999 737 752
48. A. Pitiot, H. Delingette, P.M. Thompson, and N. Ayache Expert knowledge-guided segmentation system for brain MRI NeuroImage 23 2004 S85 S96
49. W.H. Press, S.A. Teukolsky, W.T. Vetterling, and B.P. Flannery Numerical Recipes in C Second edition 1992 Cambridge Cambridge
50. D.E. Rex, J.Q. Maa, and A.W. Toga The LONI pipeline processing environment NeuroImage 19 3 2003 1033 1048
51. D. Rueckert, L.I. Sonoda, C. Hayes, D.L.G. Hill, M.O. Leachand, and D.J. Hawkes Nonrigid registration using free-form deformations: application to breast MR images IEEE Trans. Med. Imaging 18 8 1999 712 721
52. D.W. Shattuck, S.R. Sandor-Leahy, K.A. Schaper, D.A. Rottenberg, and R.M. Leahy Magnetic resonance image tissue classification using a partial volume model NeuroImage 13 5 2001 856 876
53. L.A. Shepp, and Y. Vardi Maximum likelihood reconstruction in positron emission tomography IEEE Trans. Med. Imaging 1 1982 113 122
54. J.G. Sled, A.P. Zijdenbos, and A.C. Evans A non-parametric method for automatic correction of intensity non-uniformity in MRI data IEEE Trans. Med. Imaging 17 1 1998 87 97
55. C. Studholme, V. Cardenas, E. Song, F. Ezekiel, A. Maudsley, and M. Weiner Accurate template-based correction of brain MRI intensity distortion with application to dementia and aging IEEE Trans. Med. Imaging 23 1 2004 99 110
56. M. Styner Parametric estimate of intensity inhomogeneities applied to MRI IEEE Trans. Med. Imaging 19 3 2000 153 165
57. P. Thévenaz, and M. Unser Optimization of mutual information for multiresolution image registration IEEE Trans. Image Process. 9 12 2000 2083 2099
58. P. Thévenaz, T. Blu, and M. Unser Interpolation revisited IEEE Trans. Med. Imaging 19 7 2000 739 758
59. Thirion, J.-P., 1995. Fast non-rigid matching of 3D medical images. Tech. Rep. 2547, Institut National de Recherche en Informatique et en Automatique. Available from http://www.inria.fr/rrrt/rr-2547.html.
60. J. Tohka, A. Zijdenbos, and A. Evans Fast and robust parameter estimation for statistical partial volume models in brain MRI NeuroImage 23 2004 84 97
61. M. Unser, A. Aldroubi, and M. Eden B-spline signal processing: Part I-theory IEEE Trans. Signal Process. 41 2 1993 821 833
62. M. Unser, A. Aldroubi, and M. Eden B-spline signal processing: Part II-efficient design and applications IEEE Trans. Signal Process. 41 2 1993 834 848
63. M. Vaillant, M. Miller, L. Younes, and A. Trouvé Statistics on diffeomorphisms via tangent space representations NeuroImage 23 2004 S161 S169
64. 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. Imaging 18 10 1999 885 896
65. K. Van Leemput, F. Maes, D. Vandermeulen, and P. Suetens Automated model-based tissue classification of MR images of the brain IEEE Trans. Med. Imaging 18 10 1999 897 908
66. K. Van Leemput, F. Maes, D. Vandermeulen, and P. Suetens A statistical framework for partial volume segmentation W. Niessen M. Viergever Proc. MICCAI 2001. LNCS 2208 2001 Springer-Verlag Heidelberg
67. W.M. Wells III, W.E.L. Grimson, R. Kikinis, and F.A. Jolesz Adaptive segmentation of MRI data IEEE Trans. Med. Imaging 15 4 1996 429 442
68. W.M. Wells III, P. Viola, H. Atsumi, S. Nakajima, and R. Kikinis Multi-modal volume registration by maximisation of mutual information Med. Image Anal. 1 1 1996 35 51
69. R.P. Woods Characterizing volume and surface deformations in an atlas framework: theory, applications, and implementation NeuroImage 18 3 2003 769 788
70. R.P. Woods, S.T. Grafton, C.J. Holmes, S.R. Cherry, and J.C. Mazziotta Automated image registration: I. General methods and intrasubject, intramodality validation J. Comput. Assist. Tomogr. 22 1 1998 139 152
71. R.P. Woods, S.T. Grafton, J.D.G. Watson, N.L. Sicotte, and J.C. Mazziotta Automated image registration: II. Intersubject validation of linear and nonlinear models J. Comput. Assist. Tomogr. 22 1 1998 153 165
72. C. Xiaohua, M. Brady, and D. Rueckert Simultaneous segmentation and registration for medical image C. Barillot D. Haynor P. Hellier Proc. MICCAI 2004. LNCS 3216 2004 Springer-Verlag Berlin Heidelberg
73. 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. Imaging 20 1 2001 45 57
74. A.P. Zijdenbos, R. Forghani, and A.C. Evans Automatic "pipeline" analysis of 3-D MRI data for clinical trials: application to multiple sclerosis IEEE Trans. Med. Imaging 21 10 2002 1280 1291