Constructing a dictionary of human brain folding patterns

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5762 LNCS, Issue PART 2, 2009, Pages 117-124

  Sun, Zhong Yi ^a,c   Perrot, Matthieu ^a,c   Tucholka, Alan ^a,b,c   Rivière, Denis ^a,c   Mangin, Jean François ^a,c  

^a CEA SACLAY   (France)

^b INRIA   (France)

^c IFR 49   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN IMAGING; CLUSTERING TECHNIQUES; CORTICAL FOLDING; DISTANCE MATRICES; FOLDING PATTERNS; GEOMETRIC DISTANCES; GLOBAL NORMALIZATION; HIERARCHICAL CLUSTERING ALGORITHMS; HUMAN BRAIN; HUMAN CORTEX; ISOMAP ALGORITHMS; ITERATIVE CLOSEST POINT ALGORITHM; OPEN SOFTWARE; WEALTH OF INFORMATION;

DATA MINING; MEDICAL COMPUTING;

CLUSTERING ALGORITHMS;

ALGORITHM; ARTICLE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; BRAIN CORTEX; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; FACTUAL DATABASE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; CEREBRAL CORTEX; COMPUTER SIMULATION; DATABASES, FACTUAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MODELS, ANATOMIC; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84863402419     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04271-3_15     Document Type: Conference Paper

References (19)

1. Régis, J., Mangin, J.F., Ochiai, T., Frouin, V., Rivière, D., Cachia, A., Tamura, M., Samson, Y.: "sulcal root" generic model: a hypothesis to overcome the variability of the human cortex folding patterns. Neurol. Med. Chir. (Tokyo) 45, 1-17 (2005)
2. Lohmann, G., von Cramon, D.Y., Colchester, A.C.: Deep sulcal landmarks provide an organizing framework for human cortical folding. Cerebral Cortex 18(6), 1415-1420 (2008) (Pubitemid 351769796)
3. Welker,W.:Why does cerebral cortex fissure and fold? In: Cerebral Cortex, vol. 8B, pp. 3-136. Plenum Press, New York (1988)
4. Ono, M., Kubik, S., Abernathey, C.D.: Atlas of the cerebral sulci. Thieme (1990)
5. Lohmann, G., von Cramon, D.Y., Steinmetz, H.: Sulcal variability of twins. Cerebral Cortex 9, 754-763 (1999)
6. Le Goualher, G., Argenti, A.M., Duyme, M., et al.: Statistical sulcal shape comparisons: application to the detection of genetic encoding of the central sulcus shape. Neuroimage 11(5), 564-574 (2000) (Pubitemid 30346972)
7. Fischl, B., Rajendran, N., Busa, E., et al.: Cortical folding patterns and predicting cytoarchitecture. Cerebral Cortex 18(8), 1973-1980 (2008)
8. Friston, K., Ashburner, J., Poline, J.B., Frith, C.D., Heather, J.D., Frackowiak, R.S.J.: Spatial realignment and normalisation of images. Human Brain Mapping 2, 165-189 (1995)
9. Besl, P.J., McKay, H.D.: A method for registration of 3D shapes. IEEE Trans. PAMI 14(2), 239-256 (1992)
10. Fischl, B., Sereno,M.I., Tootle, R.B., Dale, A.M.: High-resolution intersubject averaging and a coordinate system for the cortical surface. Human Brain Mapping 8(4), 272-284 (1999)
11. Thompson, P.M., Woods, R.P., Mega, M.S., Toga, A.W.: Mathematical / computational challenges in creating deformable and probabilistic atlases of the human brain. Human Brain Mapping 9(2), 81-92 (2000)
12. Lyttelton, O., Boucher, M., Robbins, S., et al.: An unbiased iterative group registration template for cortical surface analysis. Neuroimage 34(4), 1535-1544 (2007) (Pubitemid 46187067)
13. Sun, Z.Y., Rivière, D., Poupon, F., Régis, J., Mangin, J.-F.: Automatic inference of sulcus patterns using 3D moment invariants. In:Ayache, N.,Ourselin, S., Maeder, A. (eds.)MICCAI2007,Part I.LNCS,vol.4791,pp.515-522.Springer,Heidelberg(2007)
14. Tenenbaum, J.B., De Silva, V., Langford, J.C.: A global geometric framework for nonlinear dimensionality reduction. Science 290, 2319-2323 (2000) (Pubitemid 32041577)
15. Sun, Z.Y., Rivière, D., Duchesnay, E., Thirion, B., Poupon, F., Mangin, J.F.: Defining cortical sulcus patterns using partial clustering based on bootstrap and bagging. In: 5th Proc. IEEE ISBI, Paris, France, May 2008, pp. 1629-1632 (2008)
16. Fraley, C., Raftery, A.E.: Normal mixture modelling and model-based clustering, Technical Report 504. Department of Statistics, University of Washington (2006)
17. Kaufman, L., Rousseuw, P.J.: In: Finding groups in data.Wiley series in probability and statistics (1990)
18. Duda, R.O., Hart, P.E., Stork, D.G.: In: Pattern Classification. Wiley, Chichester (2000)
19. Ashburner, J., Csernansky, J.G., Davatzikos, C., Fox, N.C., Frisoni, G.B., Thompson, P.M.: Computer-assisted imaging to assess brain structure in healthy and diseased brains. The Lancet Neurology 2, 79-88 (2003) (Pubitemid 37443328)