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Références bibliographiques[141] Bertrand Thirion, Edouard Duchesnay, Edward Hubbard, Jessica Dubois, Jean-Baptiste Poline, Denis Lebihan, and Stanislas Dehaene. Inverse retinotopy : inferringthe visual content of images from brain activation patterns. Neuroimage,33(4) :110416, December 2006.[142] J.P. Thirion. Image matching as a diusion process : an analogy with Maxwell'sdemons. Med Image Anal, 2(3) :243260, 1998.[143] P Thompson and A W Toga. A surface-based technique for warping threedimensionalimages of the brain. IEEE Trans Med Imaging, 15(4) :40217, 1996.[144] P M Thompson, C Schwartz, R T Lin, A A Khan, and A W Toga. Three-dimensionalstatistical analysis of sulcal variability in the human brain. J Neurosci, 16(13) :426174, July 1996.[145] A. W. Toga and P. M. Thompson. Mapping brain asymmetry. Nat. Rev. Neurosci.,4 :3748, Jan 2003.[146] Roberto Toro, Michel Perron, Bruce Pike, Louis Richer, Suzanne Veillette, ZdenkaPausova, and Tomás Paus. Brain size and folding of the human cerebral cortex.Cereb Cortex, 18(10) :23527, October 2008.[147] Duygu Tosun and Jerry L Prince. A geometry-driven optical ow warping forspatial normalization of cortical surfaces. IEEE Trans Med Imaging, 27(12) :173953, December 2008.[148] Duygu Tosun, Maryam E Rettmann, and Jerry L Prince. Mapping techniques foraligning sulci across multiple brains. Med Image Anal, 8(3) :295309, September2004.[149] Joshua T Trachtenberg, Brian E Chen, Graham W Knott, Guoping Feng, Joshua RSanes, Egbert Welker, and Karel Svoboda. Long-term in vivo imaging of experiencedependentsynaptic plasticity in adult cortex. Nature, 420(6917) :78894, December2002.[150] A. Trouve. An innite dimensional group approach for physics based models inpattern recognition. Preprint, 1995.[151] A. Trouve. Dieomorphisms groups and pattern matching in image analysis. InternationalJournal of Computer Vision, 28(3) :213221, 1998.[152] Z. Tu, S. Zheng, AL Yuille, AL Reiss, RA Dutton, AD Lee, AM Galaburda, I. Dinov,PM Thompson, and AW Toga. Automated extraction of the cortical sulci based on168
a supervised learning approach. IEEE Transactions on Medical Imaging, 26(4) :541552, 2007.[153] M. Vaillant and C. Davatzikos. Hierarchical matching of cortical features for deformablebrain image registration. In Springer, editor, Proc. Med Image ComputComput Assist Interv, LNCS, pages 182195. Springer, 1999.[154] D C Van Essen. A tension-based theory of morphogenesis and compact wiring inthe central nervous system. Nature, 385(6614) :3138, January 1997.[155] D C Van Essen and H A Drury. Structural and functional analyses of human cerebralcortex using a surface-based atlas. J Neurosci, 17(18) :7079102, September 1997.[156] D C Van Essen, H A Drury, S Joshi, and M I Miller. Functional and structuralmapping of human cerebral cortex : solutions are in the surfaces. Proc Natl AcadSci U S A, 95(3) :78895, February 1998.[157] David C Van Essen. A population-average, landmark- and surface-based (pals) atlasof human cerebral cortex. Neuroimage, 28(3) :63562, November 2005.[158] David C Van Essen and Donna Dierker. On navigating the human cerebral cortex :response to 'in praise of tedious anatomy'. Neuroimage, 37(4) :10504 ; discussion10668, October 2007.[159] David C Van Essen and Donna L Dierker. Surface-based and probabilistic atlasesof primate cerebral cortex. Neuron, 56(2) :20925, October 2007.[160] K E Watkins, T Paus, J P Lerch, A Zijdenbos, D L Collins, P Neelin, J Taylor, K JWorsley, and A C Evans. Structural asymmetries in the human brain : a voxel-basedstatistical analysis of 142 mri scans. Cereb Cortex, 11(9) :86877, September 2001.[161] M. A. Yassa and C. E. Stark. A quantitative evaluation of cross-participant registrationtechniques for MRI studies of the medial temporal lobe. Neuroimage,44 :319327, Jan 2009.[162] BTT Yeo, M. Sabuncu, H. Mohlberg, K. Amunts, K. Zilles, P. Golland, and B. Fischl.What Data to Co-register for Computing Atlases. In IEEE 11th InternationalConference on Computer Vision, 2007. ICCV 2007, pages 18, 2007.[163] B.T.T. Yeo, M. Sabuncu, T. Vercauteren, N. Ayache, B. Fischl, and P. Golland.Spherical demons : Fast surface registration. In Springer, editor, Proc. Med ImageComput Comput Assist Interv, LNCS, pages 745753. Springer, 2008.[164] S. Zheng, Z. Tu, A. L. Yuille, A. L. Reiss, R. A. Dutton, A. D. Lee, A. M. Galaburda,P. M. Thompson, I. Dinov, and A. W. Toga. A learning based algorithm169
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THÈSE DE DOCTORATSPÉCIALITÉ: PHY
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RemerciementsLe moment de remercier
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AbstractNeuroimaging at the group l
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et de supprimer les éventuelles er
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Table des matières2.3 Recalage non
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Table des matières10
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Table des gures121.5 L'organisation
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Table des gures141.18 Description m
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Table des gures164.4 a) Chaque sill
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Table des gures6.4 Ensemble de poin
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Table des gures8.4 Distribution des
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Table des gures229.1 Comparaison en
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Table des guresA.6 Les bords du fon
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Introductionsciences cognitives à
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Introductionde tous les sujets du g
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Chapitre 1Anatomie cérébrale et
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1.1. Description anatomique du cerv
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individu à l'autre.1.1. Descriptio
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1.2. Corrélation anatomo-fonctionn
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1.2. Corrélation anatomo-fonctionn
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NOLEGGIO, ARREDO, DESIGN PER EVENTI
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Chapitre 1. Anatomie cérébrale et
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Chapitre 2. État de l'artmations e
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Chapitre 2. État de l'artFig. 2.1
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Chapitre 2. État de l'artMNI305 d
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Chapitre 2. État de l'art• il mi
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Chapitre 2. État de l'artLa soluti
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Chapitre 2. État de l'art2.2.4 Les
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Chapitre 2. État de l'artpas d'inf
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Chapitre 2. État de l'artsulcale.2
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Chapitre 2. État de l'artnelles ho
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Chapitre 3Motivations et présentat
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Fig. 3.1 Schéma illustrant notre
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Chapitre 4Extraction de l'empreinte
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4.1. Segmentation et identication a
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4.2. L'empreinte sulcalenon contigu
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4.3. Prise en compte des variations
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4.4. La robustesse de l'empreinte s
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4.4. La robustesse de l'empreinte s
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Chapitre 5Recalage diéomorphique d
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5.1. Description des primitives sul
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5.2. Large Deformation Dieomorphic
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5.3. Recalage des empreintes sulcal
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Chapitre 6Recalage itératif d'empr
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6.1. Le modèle anatomique empiriqu
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6.1. Le modèle anatomique empiriqu
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6.2. Réglage des paramètres du re
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6.3. Élimination des erreurs d'ide
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Troisième partieRésultats et disc
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Chapitre 7. Évaluation de DISCOFig
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Page 142 and 143: Conclusions et perspectivesmasques
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Page 146 and 147: Annexe A. Détail des étapes inter
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