Computing 3D non-rigid brain registration using extended robust point matching for composite multisubject fMRI analysis

Lecture Notes in Computer Science

Volumn 2879, Issue PART 2, 2003, Pages 788-795

  Papademetris, Xenophon ^c   Jackowski, Andrea P ^c   Schultz, Robert T ^c   Staib, Lawrence H ^a,b   Duncan, James S ^a,b  

^a Yale University   (United States)

^b YALE UNIVERSITY   (United States)

^c YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BRAIN; COMPUTATIONAL METHODS; IMAGE ANALYSIS; NEUROSURGERY; ROBUSTNESS (CONTROL SYSTEMS); STATISTICAL METHODS; THREE DIMENSIONAL; COMPUTATIONAL EFFICIENCY; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; MEDICAL IMAGING;

DATA-SETS; FUSIFORM GYRUS; NON-RIGID BRAIN REGISTRATION; ROBUST POINT MATCHING (RPM); ACTIVATION MAPS; FUNCTIONAL MAGNETIC RESONANCE IMAGES; INTENSITY-BASED REGISTRATION; ROBUST POINT MATCHING; SPECIFIC AREAS; THREE DIMENSIONAL DATA SETS;

MAGNETIC RESONANCE IMAGING; IMAGE MATCHING;

EID: 0345686668     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-39903-2_96     Document Type: Conference Paper

References (14)

1. G. E. Christensen, M. I. Miller, and M. W. Vannier. Individualizing neuroanatomical atlases using a massively parallel computer. Computer, 32-38, Jan. 1996.
2. H. Chui and A. Rangarajan. A new algorithm for non-rigid point matching. In Proceedings of IEEE Conf. on Computer Vision and Pattern Recognition-CVPR 2000, volume 2, pages 44-51. IEEE Press, 2000.
3. D. L. Collins, G. Le Goualher, and A. C. Evans. Non-linear cerebral registration with sulcal constraints. In Medical Image Computing and Computer Assisted Intervention, pages 974-984. Springer, Berlin, 1998.
4. I. Corouge, C. Barillot, P. Hellier, P. Toulouse, and B. Gibaud. Non-linear local registration of functional data. In Medical Image Computing and Computer Aided Intervention (MICCAI), pages 948-956, 2001.
5. C. Davatzikos. Spatial transformation and registration of brain images using elastically deformable models. Comp. Vision Image Under., 66(2):207-222, 1997.
6. J. Feldmar, G. Malandain, J. Declerck, and N. Ayache. Extension of the ICP algorithm to non-rigid intensity-based registration of 3D volumes. In Proc. Workshop Math. Meth. Biomed. Image Anal., pages 84-93, June 1996.
7. K. J. Friston, J. Ashburner, J. B. Poline, R. S. J. Frackowiak, and R. Turner. Spatial registration and normalization of images. Hum. Brain Mapping, 2:165-189, 1995.
8. A. Rangarajan, H. Chui, and F. L. Bookstein. The softassign Procrustes matching algorithm. In Information Proc. Med. Imaging, pages 29-42, 1997.
9. 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(8):712-721, August 1999.
10. R.T. Schultz, D.J. Grelotti, A. Klin, J. Kleinman, C. Van der Gaag, R. Marios, and P. Skudlarski. The role of the fusiform face area in social cognition: Implications for the pathobiology of autism. Phil. Trans. Roy. Soc, Ser. B, 458:415-427, 2003.
11. C. Studholme, D. Hill, and D. Hawkes. Automated 3D registration of magnetic resonance and positron emission tomography brain images by multiresolution optimisation of voxel similarity measures. Med. Phys., 24(1):25-35, 1997.
12. J. Talairach and P. Tournoux. Co-planar Stereotaxic Atlas of the Human Brain. Thieme Medical Publishers, New York, 1988.
13. J. P. Thirion. Image matching as a diffusion process: An analogy with maxwell's demons. Med. Image Anal., 2(3):243-260, 1998.
14. A. W. Toga. Brain Warping. Academic Press, San Diego, 1999.