Coloring of DT-MRI fiber traces using laplacian eigenmaps

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

Volumn 2809, Issue , 2004, Pages 518-529

  Brun, Anders ^a   Park, Hae Jeong ^a   Knutsson, Hans ^b   Westin, Carl Fredrik ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b LINKÖPING UNIVERSITY HOSPITAL   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

DATA VISUALIZATION; FACE RECOGNITION; LAPLACE TRANSFORMS; MAPPING; SYSTEM THEORY;

FIBER BUNDLES; LAPLACIAN EIGENMAPS; LOW DIMENSIONAL EUCLIDEAN SPACES; LOW-DIMENSIONAL SPACES; NONLINEAR DIMENSIONALITY REDUCTION; POSTPROCESSING METHODS; RGB COLOR SPACE; SIMILARITY MEASURE;

FIBERS;

EID: 0242276276     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Article

References (19)

1. P. J. Basser Inferring microstructural features and the physiological state of tissues from diffusion-weighted images. NMR in Biomedicine. 8 (1995) 333-344.
2. P. J. Basser, S. Pajevic, C. Pierpaoli, J. Duda, and A. Aldroubi In vivo fiber tractography using DT-MRI data. Magn. Reson. Med., 44 (2000) 625-632.
3. M. Belkin and P. Niyogi Laplacian eigenmaps and spectral techniques for embedding and clustering, in T. G. Diettrich, S. Becker, and Z. Ghahramani (eds:) Advances in Neural Information Processing Systems 14. MIT Press, Cambridge, MA 2002.
4. M. Brand and K. Huang A unifying theorem for spectral embedding and clustering. 2003.
5. M. Catani, R. J. Howard, S. Pajevic, and D. K. Jones. Virtual in vivo interactive dissection of white matter fasciculi in the human brain. Neuroimage 17, pp 77-94, 2002.
6. Z. Ding, J. C. Gore, and A. W. Anderson. Classification and quantification of neuronal fiber pathways using diffusion tensor MRI. Mag. Reson. Med. 49:716-721, 2003.
7. C. Fowlkes, S. Belongie, and J. Malik. Efficient Spatiotemporal Grouping Using the Nyström Method CVPR, Hawaii, December 2001.
8. S. J. Gaffney and P. Smyth. Curve clustering with random effects regression mixtures, in C. M. Bishop and B. J. Frey (eds:) Proc. Ninth Int. Workshop on AI and Stat., Florida, 2003.
9. D. Gering, A. Nabavi, R. Kikinis, W. Eric L. Grimson, N. Hata, P. Everett, F. Jolesz, and W. Wells III. An Integrated Visualization System for Surgical Planning and Guidance using Image Fusion and Interventional Imaging. Proceedings of Second International Conference on Medical Image Computing and Computer-assisted Interventions, Lecture Notes in Computer Science, pp. 809-819, 1999.
10. G. Kindlmann, D. Weinstein, and D. Hart Strategies for Direct Volume Rendering of Diffusion Tensor Fields IEEE transactions on Visualization and Computer Graphics Vol. 6, No. 2.2000.
11. D. Lebihan, E. Breton, D. Lallemand, P. Grenier, E. Cabanis, and M. LavalJeantet MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology 161, 401-407, 1986.
12. T. McGraw, B.C. Vemuri, Z. Wang, Y. Chen, and T. Mareci Line integral convolution for visualization of fiber tract maps from DTI Proceedings of Fifth International Conference on Medical Image Computing and Computer-assisted Interventions, Lecture Notes in Computer Science, pp. 615-622, 2003.
13. M. Meila and J. Shi A random walks view of spectral segmentation. In AI and Statistics (AISTATS) 2001, 2001.
14. B. Schölkopf, A. Smola, and K. Müller Nonlinear component analysis as a kernel eigenvalue problem. Nerual Computation, 10(5):1299-1319, 1998.
15. J. S. Shimony, A. Z. Snyder, N. Lori, and T. E. Conturo Automated fuzzy clustering of neuronal pathways in diffusion tensor tracking. Proc. Intl. Soc. Mag. Reson. Med. 10, Honolulu, Hawaii, May 2002.
16. E. Weisstein Eric Weisstein's world of mathematics, http://mathworld. wolfram.com/, May 15, 2003.
17. C.-F. Westin, S. Peled, H. Gudbjartsson, R. Kikinis, and F. A. Jolesz Geometrical Diffusion Measures for MRI from Tensor Basis Analysis Proc. of the International Society for Magnetic Resonance Medicine (ISMRM), Vancouver Canada, April 1997.
18. C.-F. Westin, S. E. Maier, B. Khidir, P. Everett, F. A. Jolesz, and R. Kikinis Image Processing for Diffusion Tensor Magnetic Resonance Imaging Proceedings of Second International Conference on Medical Image Computing and Computer-assisted Interventions, Lecture Notes in Computer Science, pp. 641-652, 1999,
19. S. Zhang, T. Curry, D. S. Morris, and D. H. Laidlaw. Streamtubes and streamsurfaces for visualizing diffusion tensor MRI volume images. Visualization '00 Work in Progress October 2000.