Adaptive mean-shift registration of white matter tractographies

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI

Volumn , Issue , 2008, Pages 692-695

  Zvitia, Orly ^a   Mayer, Arnaldo ^a   Greenspan, Hayit ^a  

^a TEL AVIV UNIVERSITY   (Israel)

Author keywords

Gaussian mixture model; Mean shift; Registration; Tractography; White matter

Indexed keywords

GAUSSIAN MIXTURE MODEL; MEAN-SHIFT; REGISTRATION; TRACTOGRAPHY; WHITE MATTER;

FIBERS;

EID: 51049112263     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2008.4541090     Document Type: Conference Paper

References (11)

1. A. Goh and R. Vidal, "Algebraic methods for direct and feature based registration of diffusion tensor images," in ECCV (3), 2006, pp. 514-525.
2. J. Ruiz Alzola et al., "Nonrigid registration of 3d tensor medical data," Med. Image Anal., vol. 6, pp. 143-161, June 2002.
3. H. Zhang et al., "Deformable registration of diffusion tensor mr images with explicit orientation optimization," in LNCS 3749. MICCAI, 2005, pp. 172-179.
4. L. O'Donnell and C-F. Westin, "White matter tract clustering and correspondence in populations," in Workshop Statistical Registration. MICCAI, 2005, pp. 407-415.
5. A. Leemans et al., "Multiscale white matter fiber tract coregistration: a new feature-based approach to align diffusion tensor data," Magnetic resonance in medicine, vol. 55, pp. 1414-1423, June 2006.
6. A. Mayer and H. Greenspan, "Direct registration of white matter tractographies and application to atlas construction," in Workshop Statistical Registration. MICCAI, 2007.
7. B. Georgescu et al., "Mean shift based clustering in high dimensions: A texture classification example," in ICCV, 2003, pp. 456- 463.
8. D. Comaniciu and P. Meer, "Mean shift: a robust approach toward feature space analysis," IEEE transactions on pattern analysis and machine inteligence, vol. 24, no. 5, pp. 603-619, 2002.
9. B. Jian and B. C. Vemuri, "A robust algorithm for point set registration using misture of gaussians," in ICCV, 2005, pp. 1246-1251.
10. M.A. Fischler and R.C. Bolles, "Random sample consensus: a paradigm for model fitting with application to image analysis and automated cartography," Commun. Assoc. Comp. Mach., vol. 24, pp. 381-395, 1981.
11. H. Jiang et al., "Dtistudio:resource program for diffusion tensor computing and fiber bundle tracking," computer methods and programs in biomedicine, vol. 81, no. 2, pp. 106-116, 2006.