Canonical correlation analysis of sub-cortical brain structures using non-rigid registration

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4057 LNCS, Issue , 2006, Pages 66-74

  Rao, Anil ^a   Babalola, Kola ^b   Rueckert, Daniel ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; CORRELATION METHODS; MAGNETIC RESONANCE IMAGING; STATISTICAL METHODS; VECTORS;

CANONICAL CORRELATION ANALYSIS; NON-RIGID REGISTRATION; SUB-CORTICAL BRAIN STRUCTURES;

NEUROLOGY;

EID: 33746324845     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11784012_9     Document Type: Conference Paper

References (21)

1. J. Ashburner and K. J. Friston, Voxel-based morphometry - the methods, NeuroImage 11 (2000), no. 6, 805-821.
2. _, Why voxel-based morphometry should be used, NeuroImage 14 (2001), no. 6, 1238-1243.
3. J. Ashburner, C. Hutton, R. Frackowiak, I. Johnsrude, C. Price, and K. Friston, Identifying global anatomical differences: Deformation-based morphometry, Human Brain Mapping 6 (1998), 638-57.
4. R. Bajcsy and S. Kovačič, Multiresolution elastic matching, Computer Vision, Graphics and Image Processing 46 (1989), 1-21.
5. F. L. Bookstein, "Voxel-based morphometry" should not be used with imperfectly registered images, NeuroImage 14 (2001), no. 6, 1452-1462.
6. M. Bro-Nielsen and C. Gramkow, Fast fluid registration of medical images, Proc. 4th International Conference Visualization in Biomedical Computing (VBC'96), 1996, pp. 267-276.
7. G. E. Christensen, S. C. Joshi, and M. I. Miller, Individualizing anatomical atlases of the head, Proc. 4th International Conference Visualization in Biomdical Computing (VBC'96), 1996, pp. 434-348.
8. G. E. Christensen, M. I. Miller, J. L. Mars, and M. W. Vannier, Automatic analysis of medical images using a deformable textbook, Computer Assisted Radiology (Berlin, Germany), Springer-Verlag, June 1995, pp. 146-151.
9. M. K. Chung, K. J. Worsley, T. Paus, D. L. Collins C. Cherif, J. N. Giedd, J. L. Rapoport, and A. C. Evans, A unified statistical approach to deformation-based morphometry, NeuroImage 14 (2001), no. 3, 595-606.
10. D. L. Collins, P. Neelin, T. M. Peters, and A. C. Evans, Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space, Journal of Computer Assisted Tomography 18 (1994), no. 2, 192-205.
11. . T. F. Cootes, G. J. Edwards, and C. J. Taylor, Active appearance models, Proc. 5th European Conference on Computer Vision (ECCV'98), vol. 2, 1998, pp. 484-498.
12. T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham, Active Shape Models - their training and application, Computer Vision and Image Understanding 61 (1995), no. 1, 38-59.
13. J. Gee, M. Reivich, and R. Bajcsy, Elastically deforming 3D atlas to match anatomical brain images, Journal of Computer Assisted Tomography 17 (1993), no. 2, 225-236.
14. U. Grenander and M. I. Miller, Computational anatomy: An emerging discipline, Quarterly of Applied Mathematics 56 (1998), no. 4, 617-694.
15. B. Horn, Closed-form solution of absolute orientation using unit quaternions, Journal of the Optical Society of America 4 (1987), 629-642.
16. T. Laudadio, P. Pels, L. Lathauwer, P. Hecke, and S. Huffel, Tissue segmentation and classification of mrsi data using canonical correlation analysis, Magnetic Resonance in Medicine 54 (2005), 1519-1529.
17. T. Liu, D. Shen, and C. Davatzikos, Predictive modeling of anatomic structures using canonical correlation analysis, IEEE International Symposium on Biomdical Imaging, 2004.
18. K. V. Mardia, J. T. Kent, and J. M. Bibby, Multivariate analysis, Academic Press, Belfast, U. K., 1982.
19. J. Mazziotta, A. Toga, A. Evans, P. Fox, and J. Lancaster, A probabilistic atlas of the human brain: Theory and rationale for its developement. the international consortium for brain mapping, NeuroImage 2 (1995), no. 2, 89-101.
20. D. Rueckert, L. I. Sonoda, C. Hayes, D. L. G. Hill, M. O. Leach, and D. J. Hawkes, Non-rigid registration using free-form deformations: Application to breast MR images, IEEE Transactions on Medical Imaging 18 (1999), no. 8, 712-721.
21. L. Zollei, L. Panych, E. Grimson, and W. Wells, Exploratory identification of cardiac noise in fmri images, Sixth Int. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI '03), Lecture Notes in Computer Science, 2003.