Brain lobes revealed by spectral clustering

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2014, Pages 562-567

  Lefèvre, Julien ^a   Auzias, Guillaume ^b   Germanaud, David ^c,d  

^a AIX MARSEILLE UNIVERSITY   (France)

^b AIX MARSEILLE UNIVERSITÉ   (France)

^c NeuroSpin   (France)

^d HÔPITAL ROBERT DEBRÉ   (France)

Author keywords

[No Author keywords available]

Indexed keywords

NEUROIMAGING; PATTERN RECOGNITION;

ANATOMICAL LANDMARKS; CORTICAL SURFACES; INTRINSIC PROPERTY; LAPLACE-BELTRAMI OPERATOR; PRIORI INFORMATION; REPRODUCIBILITIES; SPECTRAL CLUSTERING; VISUAL SIMILARITY;

CLUSTERING ALGORITHMS;

EID: 84919933303     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2014.107     Document Type: Conference Paper

References (24)

1. L. P. Gratiolet, Mémoire sur les plis cérébraux de l'homme et des primates: Mit einem Atlas (4 pp. XIV pl.) in fol. 33i. A. Bertrand, 1854.
2. A. Cachia, J.-F. Mangin, D. Riviere, D. Papadopoulos-Orfanos, F. Kherif, I. Bloch, and J. Régis, "A generic framework for the parcellation of the cortical surface into gyri using geodesic voronoi diagrams," Medical Image Analysis, vol. 7, no. 4, pp. 403-416, 2003.
3. R. S. Desikan, F. Ségonne, B. Fischl, B. T. Quinn, B. C. Dickerson, D. Blacker, R. L. Buckner, A. M. Dale, R. P. Maguire, B. T. Hyman et al., "An automated labeling system for subdividing the human cerebral cortex on mri scans into gyral based regions of interest," Neuroimage, vol. 31, no. 3, pp. 968-980, 2006.
4. C. Destrieux, B. Fischl, A. Dale, and E. Halgren, "Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature," Neuroimage, vol. 53, no. 1, pp. 1-15, 2010.
5. B. Thirion, G. Flandin, P. Pinel, A. Roche, P. Ciuciu, and J.-B. Poline, "Dealing with the shortcomings of spatial normalization: Multi-subject parcellation of fmri datasets," Human brain mapping, vol. 27, no. 8, pp. 678-693, 2006.
6. A. Shamir, "A survey on mesh segmentation techniques," in Computer graphics forum, vol. 27, no. 6. Wiley Online Library, 2008, pp. 1539-1556.
7. R. Liu and H. Zhang, "Segmentation of 3d meshes through spectral clustering," in Computer Graphics and Applications, 2004. PG 2004. Proceedings. 12th Pacific Conference on. IEEE, 2004, pp. 298-305.
8. H. Zhang and R. Liu, "Mesh segmentation via recursive and visually salient spectral cuts," in Proc. of vision, modeling, and visualization. Citeseer, 2005, pp. 429-436.
9. A. Y. Ng, M. I. Jordan, Y. Weiss et al., "On spectral clustering: Analysis and an algorithm," Advances in neural information processing systems, vol. 2, pp. 849-856, 2002.
10. M. Kac, "Can one hear the shape of a drum?" The american mathematical monthly, vol. 73, no. 4, pp. 1-23, 1966.
11. C. Gordon, D. L. Webb, and S. Wolpert, "One cannot hear the shape of a drum," Bulletin of the American Mathematical Society, vol. 27, no. 1, pp. 134-138, 1992.
12. R. Lai, Y. Shi, I. Dinov, T. Chan, and A. Toga, "Laplace-beltrami nodal counts: A new signature for 3d shape analysis," in IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'09, 2009, pp. 694-697.
13. D. Germanaud, J. Lefevre, R. Toro, C. Fischer, and J. Dubois, "Larger is twistier: Spectral analysis of gyrification (spangy) applied to adult brain size polymorphism," NeuroImage, vol. 63, pp. 1257-1272, 2012.
14. Y. Shi, I. Dinov, and A. W. Toga, "Cortical shape analysis in the laplacebeltrami feature space," in Medical Image Computing and Computer-Assisted Intervention-MICCAI 2009. Springer, 2009, pp. 208-215.
15. G. Auzias, J. Lefevre, A. Le Troter, C. Fisher, M. Perrot, J. Régis, and O. Coulon, "Model-driven harmonic parameterization of the cortical surface: Hip-hop," IEEE, transaction on medical imaging, vol. 32, no. 5, pp. 873-887, 2013.
16. M. Berger, A panoramic view of Riemannian geometry. Springer Verlag, 2003.
17. M. Desbrun, M. Meyer, S. P., and A. Barr, "Implicit fairing of irregular meshes using diffusion and curvature flow," in Proceedings of the 26th annual conference on Computer graphics and interactive techniques, 1999, pp. 317-324.
18. U. Von Luxburg, "A tutorial on spectral clustering," Statistics and computing, vol. 17, no. 4, pp. 395-416, 2007.
19. B. Nadler and M. Galun, "Fundamental limitations of spectral clustering," in Advances in Neural Information Processing Systems, 2006, pp. 1017-1024.
20. A. Le Troter, D. Riviere, and O. Coulon, "An interactive sulcal fundi editor in brainvisa," in Proc. Org. Human Brain Mapp. Conf., 2011, p. 61.
21. J.-J. Kim, B. Crespo-Facorro, N. C. Andreasen, D. S. O'Leary, B. Zhang, G. Harris, and V. A. Magnotta, "An mri-based parcellation method for the temporal lobe," Neuroimage, vol. 11, no. 4, pp. 271-288, 2000.
22. Z. Lu and M. A. Carreira-Perpinán, "Constrained spectral clustering through affinity propagation," in Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on. IEEE, 2008, pp. 1-8.
23. O. Sidi, O. van Kaick, Y. Kleiman, H. Zhang, and D. Cohen-Or, "Unsupervised co-segmentation of a set of shapes via descriptor-space spectral clustering," in ACM Transactions on Graphics (TOG), vol. 30, no. 6. ACM, 2011, p. 126.
24. R. Toro, "On the possible shapes of the brain," Evolutionary Biology, vol. 39, no. 4, pp. 600-612, 2012.