Unified statistical approach to cortical thickness analysis

Lecture Notes in Computer Science

Volumn 3565, Issue , 2005, Pages 627-638

  Chung, Moo K ^a   Robbins, Steve ^b   Evans, Alan C ^b  

^a University of Wisconsin Madison   (United States)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; CONVOLUTION; DATA ACQUISITION; DATA REDUCTION; GEODESY; PROBLEM SOLVING; STATISTICAL METHODS;

CLINICAL POPULATION; DATA SMOOTHING; EUCLIDEAN DISTANCE; HUMAN BRAIN CORTEX;

IMAGE ANALYSIS;

ADOLESCENT; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTISM; AUTOMATED PATTERN RECOGNITION; BRAIN CORTEX; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; THREE DIMENSIONAL IMAGING;

ADOLESCENT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; AUTISTIC DISORDER; CEREBRAL CORTEX; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33750937614     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11505730_52     Document Type: Conference Paper

References (24)

1. A. Andrade, Kherif, J. F., Mangin, K.J. Worsley, A. Paradis, O. Simon, S. Dehaene, D. Le Bihan, and J-B. Poline. Detection of fmri activation using cortical surface mapping. Human Brain Mapping, 12:79-93, 2001.
2. N. Berline, E. Getzler, and Vergne M. Heat kernels and dirac operators. Springer-Verlag, 1991.
3. A. Cachia, J.-F. Mangin, Riviére D., D. Papadopoulos-Orfanos, F. Kherif, I. Bloch, and J. Régis. A generic framework for parcellation of the cortical surface into gyri using geodesic voronoï diagrams. Image Analysis, 7:403-416, 2003.
4. P. Chaudhuri and J. S. Marron. Scale space view of curve estimation. The Annals of Statistics, 28:408-428, 2000.
5. M.K. Chung, S. Robbins, Davidson R.J. Alexander A.L. Dalton, K.M., and A.C. Evans. Cortical thickness analysis in autism with heat kernel smoothing. NeuroImage, 2005 in press.
6. M.K. Chung and J. Taylor. Diffusion smoothing on brain surface via finite element method. In Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), 2004.
7. M.K. Chung, K.J. Worsley, S. Robbins, and A.C. Evans. Tensor-based brain surface modeling and analysis. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume I, pages 467-473, 2003.
8. M.K. Chung, K.J. Worsley, S. Robbins, T. Paus, Taylor, J.N. J., Giedd, J.L. Rapoport, and A.C. Evans. Deformation-based surface morphometry applied to gray matter deformation. NeuroImage, 18:198-213, 2003.
9. A.M. Dale and B. Fischl. Cortical surface-based analysis i. segmentation and surface reconstruction. NeuroImage, 9:179-194, 1999.
10. C. Davatzikos and R.N. Bryan. Using a deformable surface model to obtain a shape representation of the cortex. Proceedings of the IEEE International Conference on Computer Vision, 1995.
11. S.E. Jones, B.R. Buchbinder, and I. Aharon. Three-dimensional mapping of cortical thickness using laplace's equation. Human Brain Mapping, 11:12-32, 2000.
12. S.C. Joshi, J. Wang, M.I. Miller, D.C. Van Essen, and U. Grenander. On the differential geometry of the cortical surface. Vision Geometry IV, pages 304-311, 1995.
13. K. Kollakian. Performance analysis of automatic techniques for tissue classification in magnetic resonance images of the human brain. Technical Report Master's thesis, Concordia University, Montreal, Quebec, Canada, 1996.
14. J.D. MacDonald, N. Kabani, D. Avis, and A.C. Evans. Automated 3-d extraction of inner and outer surfaces of cerebral cortex from mri. NeuroImage, 12:340-356, 2000.
15. P. Perona and J. Malik. Scale-space and edge detection using anisotropic diffusion. IEEE Trans. Pattern Analysis and Machine Intelligence, 12:629-639, 1990.
16. S.M. Robbins. Anatomical standardization of the human brain in euclidean 3-space and on the cortical 2-manifold. Technical Report PhD thesis, School of Computer Science, McGill University, Montreal, Quebec, Canada, 2003.
17. S. Rosenberg. The Laplacian on a Riemannian Manifold. Cambridge University Press, 1997.
18. J.G. Sled, A.P. Zijdenbos, and A.C. Evans. A nonparametric method for automatic correction of intensity nonuniformity in mri data. IEEE Transactions on Medical Imaging, 17:87-97, 1988.
19. N. Sochen, R. Kimmel, and R. Malladi. A general framework for low level vision. IEEE Transactions on Image Processing, 7:310-318, 1998.
20. P.M. Thompson and A.W. Toga. A surface-based technique for warping 3-dimensional images of the brain. IEEE Transactions on Medical Imaging, 15:1-16, 1996.
21. G. Wahba. Spline models for observational data. SIAM, 1990.
22. F.-Y. Wang. Sharp explict lower bounds of heat kernels. Annals of Probability, 24:1995-2006, 1997.
23. 2, f and t fields. Advances in Applied Probability., 26:13-42, 1994.
24. K.J. Worsley, J.E. Taylor, F. Tomaiuolo, and J. Lerch. Unified univariate and multivariate random field theory. Neurolmage, 2005.