Multi-Scale Analysis of Brain Surface Data

Modeling and Simulation in Science, Engineering and Technology

Volumn , Issue 9780817645557, 2008, Pages 255-263

  Hübsch, Thomas ^a   Tittgemeyer, Marc ^b  

^a MAX PLANCK INSTITUTE FOR HUMAN COGNITIVE AND BRAIN SCIENCES   (Germany)

^b MAX PLANCK INSTITUTE FOR NEUROLOGICAL RESEARCH   (Germany)

Author keywords

Brain surface visualization; shape analysis; spherical harmonic

Indexed keywords

EID: 84889707676     PISSN: 21643679     EISSN: 21643725     Source Type: Book Series    
DOI: 10.1007/978-0-8176-4556-4_23     Document Type: Chapter

References (24)

1. Hofman, M.A.: The fractal geometry of convoluted brains. J. Hirnforsch., 32, 103–11 (1991).
2. Kennedy, D.N., et al.: Gyri of the human neocortex: an MRI-based analysis of volume and variance. Cereb. Cortex, 8, 372–84 (1998).
3. Prothero, J.: Small brain, large brain—a quest for nature’s scale-up rules. J. Hirnforsch., 39, 335–47 (1999).
4. Prothero, J.W., Sundsten, S.W.: Folding of the cerebral cortex in mammals. A scalingmodel. Brain Behav. Evol. 24, 152–67 (1984).
5. Richman, D.: Mechanical model of brain convolutional development. Science, 189, 18–21 (1975).
6. Price, D., Willshaw, D.: Mechanisms of Cortical Development, 1st edition. Oxford: Oxford University Press (2000).
7. Hofman, M.A.: Size and shape of the cerebral cortex in mammals. I. The cortical surface. Brain Behav. Evol., 27, 28–40 (1985).
8. Hofman, M.A.: Size and shape of the cerebral cortex in mammals. II. The cortical volume. Brain Behav. Evol., 32, 17–26 (1988).
9. Joshi, M., et al.: Brain segmentation and the generation of cortical surfaces. Neuroimage, 9, 461–76 (1999).
10. Blow, T.: Spherical diffusion for 3d surface smoothing. 1st International Symposium on 3D Data Processing, Visualization and Transmission, Padova, Italy, 449–458 (2002).
11. Brechbühler, C., Gerig, G., Kübler, O.: Parametrization of closed surfaces for 3-d shape description. CVIU, 61, 154–170 (1995).
12. Van Essen, D.C., Drury, H.A.: Structural and functional analyses of human cerebral cortex using a surface-based atlas. J. Neurosci., 17, 7079–102 (1997).
13. Riviere, D., et al.: Automatic recognition of cortical sulci of the human brain using a congregation of neural networks. Med. Image Anal., 6, 77–92 (2002).
14. Pham, D.L., Prince J.L.: An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities. Pattern Recognition Letters, 20, 57–68 (1999).
15. Fischl, B., Sereno, M.I., Dale, A.M.: Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system. Neuroimage, 9, 195–207 (1999).
16. Kelemen, A., Szekely, G., Gerig, G.: Elastic model-based segmentation of 3-Dneuroradiological data sets. IEEE Trans. Med. Imaging, 18, 828–39 (1999).
17. Griffin, L.D.: The intrinsic geometry of the cerebral cortex. J. Theor. Biol., 166, 261–73 (1994).
18. Haker, S., et al.: Conformal surface parameterization for texture mapping. IEEE Trans. Visualization and Computer Graphics, 6, 181–189 (2000).
19. Yu, P., et al.: Shape analysis of neuroanatomical structures based on spherical wavelets. 11th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Toronto, Canada (2005).
20. Van Essen, D.C., et al.: Functional and structural mapping of human cerebral cortex: solutions are in the surfaces. Adv. Neurol., 84, 23–34 (2000).
21. Brechbuehler, C.: Description and analysis of 3-D shapes by parametrization of closed surfaces. Diss., ETH Zurich, (1995).
22. Thompson, P.M., Schwartz, C., Toga, A.W.: High-resolution random mesh algorithms for creating a probabilistic 3Dsurf ace atlas of the human brain. Neuroimage, 3, 19–34 (1996).
23. Lohmann, G., et al.: LIPSIA—a new software system for the evaluation of functional magnetic resonance images of the human brain. Comput. Med. Imaging Graph., 25, 449–57 (2001).
24. Quicken, M., Brechbühler, C., Hug, J., Blattmann, H., Szekely, G.: Parameterization of closed surfaces for parametric surface description. Computer Vision and Pattern Recognition CVPR (2000).