Cortical constraints for non-linear cortical registration

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

Volumn 1131, Issue , 1996, Pages 307-316

  Collins, D L ^a   Le Goualher, G ^a   Venugopal, R ^b   Caramanos, A ^b   Evans, A C ^b   Barillot, C ^a  

^a Laboratoire SIM   (France)

^b MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

CORTICAL STRUCTURES; DATA VOLUME; GRADIENT MAGNITUDE IMAGE; HUMAN BRAIN; NON LINEAR;

VISUALIZATION;

EID: 84947753810     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0046968     Document Type: Conference Paper

References (21)

1. R. Bajcsy and S. Kovacic. Multiresolution elastic matching. Computer Vision, Graphics, and Image Processing, 46:1-21, 1989.
2. F. Bookstein. Thin-plate splines and the atlas problem for biomedical images. In A. Colchester and D. Hawkes, editors, Information Processing in Medical Imaging, volume 511 of Lecture Notes in Computer Science, pages 326-342, Wye, UK, July 1991. IPMI, Springer-Verlag.
3. G. Christensen, R. Rabbitt, and M. Miller. 3d brain mapping using a deformable neuroanatomy. Physics in Med and Biol, 39:609-618, 1994.
4. D. Collins, C. Holmes, T. Peters, and A. Evans. Automatic 3D model-based neuro-anatomical segmentation. Human Brain Mapping, 3(3):190-208, 1996.
5. D. L. Collins, Τ. M. Peters, and A. C. Evans. An automated 3D non-linear image deformation procedure for determination of gross morphometric variability in human brain. In Proceedings of Conference on Visualization in Biomedical Computing. SPIE, 1994.
6. D. Dean, P. Buckley, F. Bookstein, J. Kamath, and D. Kwon. Three dimensional mr-based morphometric comparison of schizophrenic and normal cerebral ventricles. In Proceedings of Conference on Visualization in Biomedical Computing, Lecture Notes in Computer Science, page this volume. Springer-Verlag, Sept. 1996.
7. A. C. Evans, W. Dai, D. L. Collins, P. Neelin, and T. Marrett. Warping of a computerized 3-D atlas to match brain image volumes for quantitative neuroanatomical and functional analysis. In Proceedings of the International Society of Optical Engineering: Medical Imaging V, volume 1445, San Jose, California, 27 February - 1 March 1991. SPIE.
8. A. C. Evans, S. Marrett, J. Torrescorzo, S. Ku, and L. Collins. MRI-PET correlation in three dimensions using a volume-of-interest (VOI) atlas. Journal of Cerebral Blood Flow and Metabolism, 11(2):A69-78, Mar 1991.
9. L. M. J. Florack, B. M. ter Haar Romeny, J. J. Koenderink, and M. A. Viergever. Scale and the differential structure of images. Image and Vison Computing, 10:376-388, 1992.
10. P. T. Fox, M. A. Mintun, E. M. Reiman, and M. E. Raichle. Enhanced detection of focal brain responses using intersubject averaging and change-distribution analysis of subtracted PET images. Journal of Cerebral Blood Flow and Metabolism, 8:642-653, 1988.
11. K. Friston, C. Frith, P. Liddle, and R. Frackowiak. Plastic transformation of PET images. Journal of Computer Assisted Tomography, 15(1):634-639, 1991.
12. N. A. G. Subsol, J.-P. Thirion. Application of an automatically built 3d morpho-metric brain atlas: study of cerebral ventricle shape. In Proceedings of Conference on Visualization in Biomedical Computing, Lecture Notes in Computer Science, page this volume. Springer-Verlag, Sept. 1996.
13. Y. Ge, J. Fitzpatrick, R. Kessler, and R. Margolin. Intersubject brain image registration using both cortical and subcortical landmarks. In Proceedings of SPIE Medical Imaging, volume 2434, pages 81-95. SPIE, 1995.
14. J. Gee, L. LeBriquer, and C. Barillot. Probabilistic matching of brain images. In Y. Bizais and C. Barillot, editors, Information Processing in Medical Imaging, He Berder, France, July 1995. IPMI, Kluwer.
15. G. L. Goualher, C. Barillot, Y. Bizais, and J.-M. Scarabin. Three-dimensional segmentation of cortical sulci using active models. In SPIE Medical Imaging, page in press, Newport-Beach, Calif., 1996. SPIE.
16. F. Lachmann and С. Barillot. Brain tissue classification from mri by means of texture analysis. In SPIE Medical Imaging VI, volume 1652, pages 72-83, Newport-Beach, Calif., 1992. SPIE.
17. F. Leitner, I. Marque, S. Lavalee, and P. Cinquin. Dynamic segmentation: finding the edge with snake splines. In Int. Conf. on Curves and Surfaces, pages 279-284. Academic Press, June 1991.
18. S. Luo and A. Evans. Matching sulci in 3d space using force-based deformation. IEEE Transactions on Medical Imaging, submitted Nov., 1994.
19. S. Sandor and R. Leahy. Towards automated labelling of the cerebral cortex using a deformable atlas. In Y. Bizais, C. Barillot, and R. DiPaola, editors, Information Processing in Medical Imaging, pages 127-138, Brest, France, Aug 1995. IPMI, Kluwer.
20. B. tar Haar Romeny, L. M. Florack, J. J. Koenderink, and M. A. Viergever. Scale space: its natural operators and differential invariants. In A. C. F. Colchester and D. J. Hawkes, editors, Information Processing in Medical Imaging, page 239, Wye, UK, July 1991. IPMI.
21. J. Zhengping and P. H. Mowforth. Mapping between MR brain images and a voxel model. Med Inf (bond), 16(2):183-93, Apr-Jun 1991.