Mapping techniques for aligning sulci across multiple brains

Lecture Notes in Computer Science

Volumn 2879, Issue PART 2, 2003, Pages 862-869

  Tosun, Duygu ^a   Rettmann, Maryam E ^b   Prince, Jerry L ^a  

^a Johns Hopkins University   (United States)

^b NATIONAL INSTITUTE ON AGING   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTATIONAL METHODS; CONFORMAL MAPPING; GEOMETRY; IMAGE ANALYSIS; MAGNETIC RESONANCE IMAGING; MAGNETIZATION; MATHEMATICAL MODELS; PHOTOMAPPING; PROBABILITY; TOPOLOGY; MAPPING; MEDICAL COMPUTING; MEDICAL IMAGING; VISUALIZATION;

GEOMETRIC FEATURES; GYRAL CONVOLUTIONS; MAPPING TECHNIQUES; MULTIPLE BRAINS; AUTOMATIC LABELLING; CORTICAL SURFACES; GEOMETRIC FEATURE; PROBABILISTIC MAPS;

BRAIN; BRAIN MAPPING;

EID: 0345686660     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-39903-2_105     Document Type: Conference Paper

References (17)

1. G.J.Carman, H.A.Drury, and D.C.Van Essen. Computational methods for contraction and unfolding the crebral cortex. Cerebral Cortex, 5:506-517, 1995.
2. H.A.Drury, D.C.Van Essen, C.H.Anderson, C.W.Lee, T.A.Coogan, and J.W.Lewis. Computerized mappings of the cerebral cortex: A multiresolution flattening method and a surface-based coordinate system. J.Cog.Neurosci., 8:1-28, 1996.
3. B.Wandell, S.Engel, and H.Hel-Or. Creating images of the flattened cortical sheet. Invest.Opth.and Vis.Sci., 36(612), 1996.
4. S.Angenent, S.Haker, A.Tannenbaum, and R.Kikinis. On the Laplace-Beltrami operator and brain surface flattening. IEEE Trans.Med.Imag., 18(8):700-711, 1999.
5. B.Fischl, M.I.Sereno, and A.M.Dale. Cortical surface-based analysis II: Inflation, flattening, and a surface-based cortical system. NeuroImage, 8(4):272-284, 1999.
6. D.Tosun, M.E.Rettmann, X.Tao, X.Han, C.Xu, and J.L.Prince. Calculation of human cerebral cortical thickness on opposing sulcal banks. In Proc. of 7th Int. Conf. on Functional Mapping of the Human Brain (HBM), volume 4322, June 2001.
7. D.MacDonald, N.Kabani, D.Avis, and A.Evans. Automated 3D extraction of inner and outer surfaces of cerebral cortex from MRI. NeuroImage, 12(3):340-356, 2000.
8. P.M.Thompson, R.P.Woods, M.S.Mega, and A.W.Toga. Mathematical and computational challenges in creating deformable and probabilistic atlases of the human brain. Human Brain Mapping, 9:81-92, 2000.
9. X.Gu, Y.Wang, T.F.Chan, P.M.Thompson, and S.T.Yau. Genus zero surface conformal mapping and its application to brain surface mapping. submitted, 2003.
10. H.Z. Wang and S. J. Rieder. A spoiling sequence for suppression of residual transverse magnetization. Magn.Reson.Med., 15(2):175-91, 1990.
11. S.M.Resnick, A.F.Goldszal, C.Davatzikos, S.Golski, M.A.Kraut, E.J.Metter, R.N.Bryan, and A.B.Zonderman. One-year age changes in MRI brain volumes in older adults. Cerebral Cortex, 10(5):464-72, May 2000.
12. C.Xu, D.L.Pham, M.E.Rettmann, D.N.Yu, and J.L.Prince. Reconstruction of the human cerebral cortex from magnetic resonance images. IEEE Trans.Med.Imag., 18(6):467-480, 1999.
13. X.Han, C.Xu, and J.L.Prince. A topology preserving deformable model using level sets. In IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA2001), pages 213-220, Dec. 2001.
14. J.I.Sereno, A.M.Dale, A.Liu, and R.B.H.Tootell. A surface-based coordinate system for a canonical cortex. NeuroImage, 3:S252, 1996.
15. A.C.Smith, P.G.Batchelor, D.L.G.Hill, A.F.Dean, T.Cox, and D.J.Hawkes. The shape of the developing foetal cortex from MR images. Proc.Medical Image Understanding and Analysis(MIUA), 2000.
16. M.Meyer, M.Desbrun, P.Schroder, and A.H.Barr. Discrete differential geometry operators for triangulated 2-manifolds. VisMath'02 Proceedings, 2002.
17. M.E.Rettmann, X.Han, C.Xu, and J.L.Prince. Automated sulcal segmentation using watersheds on the cortical surface. NeuroImage, 15:329-344, February 2002.