Abstract
Visualization and mapping of function on the cortical surface is difficult because of its sulcal and gyral convolutions. Methods to unfold and flatten the cortical surface for visualization and measurement have been described in the literature. This makes visualization and measurement possible, but comparison across multiple subjects is still difficult because of the lack of a standard mapping technique. In this paper, we describe an approach that maps each hemisphere of the cortex to a portion of a sphere in a standard way. To quantify how accurately the geometric features — i.e., sulci and gyri — are mapped into the same location, sulcal alignment across multiple brains are analyzed, and probabilistic maps for different sulcal regions are generated to be used in automatic labelling of segmented sulcal regions.
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Carman, G.J., Drury, H.A., Van Essen, D.C.: Computational methods for contruction and unfolding the crebral cortex. Cerebral Cortex 5, 506–517 (1995)
Drury, H.A., Van Essen, D.C., Anderson, C.H., Lee, C.W., Coogan, T.A., Lewis, J.W.: Computerized mappings of the cerebral cortex: A multiresolution flattening method and a surface-based coordinate system. J. Cog. Neurosci. 8, 1–28 (1996)
Wandell, B., Engel, S., Hel-Or, H.: Creating images of the flattened cortical sheet. Invest. Opth. and Vis. Sci. 36(612) (1996)
Angenent, S., Haker, S., Tannenbaum, A., Kikinis, R.: On the Laplace-Beltrami operator and brain surface flattening. IEEE Trans. Med. Imag. 18(8), 700–711 (1999)
Fischl, B., Sereno, M.I., Dale, A.M.: Cortical surface-based analysis II: Inflation, flattening, and a surface-based cortical system. NeuroImage 8(4), 272–284 (1999)
Tosun, D., Rettmann, M.E., Tao, X., Han, X., Xu, C., Prince, J.L.: Calculation of human cerebral cortical thickness on opposing sulcal banks. In: Proc.of 7th Int. Conf. on Functional Mapping of the Human Brain (HBM), June 2001, vol. 4322 (2001)
MacDonald, D., Kabani, N., Avis, D., Evans, A.: Automated 3D extraction of inner and outer surfaces of cerebral cortex from MRI. NeuroImage 12(3), 340–356 (2000)
Thompson, P.M., Woods, R.P., Mega, M.S., Toga, A.W.: Mathematical and computational challenges in creating deformable and probabilistic atlases of the human brain. Human Brain Mapping 9, 81–92 (2000)
Gu, X., Wang, Y., Chan, T.F., Thompson, P.M., Yau, S.T.: Genus zero surface conformal mapping and its application to brain surface mapping (2003) (submitted)
Wang, H.Z., Rieder, S.J.: A spoiling sequence for suppression of residual transverse magnetization. Magn. Reson. Med. 15(2), 175–191 (1990)
Resnick, S.M., Goldszal, A.F., Davatzikos, C., Golski, S., Kraut, M.A., Metter, E.J., Bryan, R.N., Zonderman, A.B.: One-year age changes in MRI brain volumes in older adults. Cerebral Cortex 10(5), 464–472 (2000)
Xu, C., Pham, D.L., Rettmann, M.E., Yu, D.N., Prince, J.L.: Reconstruction of the human cerebral cortex from magnetic resonance images. IEEE Trans. Med. Imag. 18(6), 467–480 (1999)
Han, X., Xu, C., Prince, J.L.: A topology preserving deformable model using level sets. In: IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA 2001), December 2001, pp. 213–220 (2001)
Sereno, J.I., Dale, A.M., Liu, A., Tootell, R.B.H.: A surface-based coordinate system for a canonical cortex. NeuroImage 3, S252 (1996)
Smith, A.C., Batchelor, P.G., Hill, D.L.G., Dean, A.F., Cox, T., Hawkes, D.J.: The shape of the developing foetal cortex from MR images. In: Proc. Medical Image Understanding and Analysis (MIUA) (2000)
Meyer, M., Desbrun, M., Schroder, P., Barr, A.H.: Discrete differential geometry operators for triangulated 2-manifolds. In: VisMath 2002 Proceedings (2002)
Rettmann, M.E., Han, X., Xu, C., Prince, J.L.: Automated sulcal segmentation using watersheds on the cortical surface. NeuroImage 15, 329–344 (2002)
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Tosun, D., Rettmann, M.E., Prince, J.L. (2003). Mapping Techniques for Aligning Sulci across Multiple Brains. In: Ellis, R.E., Peters, T.M. (eds) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. MICCAI 2003. Lecture Notes in Computer Science, vol 2879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39903-2_105
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DOI: https://doi.org/10.1007/978-3-540-39903-2_105
Publisher Name: Springer, Berlin, Heidelberg
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