Research ArticleBRAIN
A Method for Clustering White Matter Fiber Tracts
L.J. O’Donnell, M. Kubicki, M.E. Shenton, M.H. Dreusicke, W.E.L. Grimson and C.F. Westin
American Journal of Neuroradiology May 2006, 27 (5) 1032-1036;
L.J. O’Donnell
M. Kubicki
M.E. Shenton
M.H. Dreusicke
W.E.L. Grimson

References
- ↵Basser PJ, Mattiello J, LeBihan D. MR diffusion tensor spectroscopy and imaging. Biophys J 1994;66:259–67
- ↵Kubicki M, Westin CF, Maier SE, et al. Diffusion tensor imaging and its application to neuropsychiatric disorders. Harv Rev Psychiatry 2002;10:324–36
- ↵Lim KO, Helpern JA. Neuropsychiatric applications of DTI: a review. NMR Biomed 2002;15:587–93
- ↵Basser PJ, Pajevic S. In vivo fiber tractography using DT-MRI data. Magn Reson Med 2000;44:625–32
- ↵Brun A, Knutsson H, Park HJ, et al. Clustering Fiber Traces Using Normalized Cuts: Proceedings of the 7th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2004;368–75.
- ↵Fowlkes C, Belongie S, Chung F, et al. Spectral grouping using the Nystrom method. IEEE Trans Pattern Anal Mach Intell 2004;26:214–25
- Ng AY, Jordan MI, Weiss Y. On spectral clustering: analysis and an algorithm. In: Dietterich TG, Becker S, Ghahramani S, eds., Advances in Neural Information Processing Systems 14. Cambridge, Mass: MIT Press;2002;849–56
- ↵Shi J, Malik J. Normalized cuts and image segmentation. IEEE Trans Pattern Anal Mach Intell 2000;22:888–905
- ↵Brun A, Park HJ, Knutsson H, et al. Coloring of DTMRI fiber traces using Laplacian eigenmaps. Proceedings of the 9th International Conference on Computer Aided Systems Theory (EUROCAST), Las Palmas de Gran Canaria, Spain, February2003;564–72
- ↵Corouge I, Gouttard S, Gerig G. Towards a Shape Model of White Matter Fiber Bundles Using Diffusion Tensor MRI: Proceedings of the International Symposium of Biomedical Imaging (ISBI), Arlington, Va, April2004;344–47
- ↵Gerig G, Gouttard S, Corouge I. Analysis of Brain White Matter via Fiber Tract Modeling: Proceedings of the 26th Annual International Conference of the IEEE EMBS, San Francisco, Calif, 1–5 September2004;426
- ↵Huttenlocher D, Klanderman D, Rucklige A. Comparing images using the Hausdorff distance. IEEE Trans Pattern Anal Mach Intell 1993;15:850–63
- ↵O’Donnell L, Westin CF. White matter tract clustering and correspondence in populations. Proceedings of the 8th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Palm Springs, Calif, October2005;140–47
- ↵Gudbjartsson H, Maier SE, Mulkern RV, et al. Line scan diffusion imaging. Magn Reson Med 1996;36:509–19
- ↵Kubicki M, Park H, Westin CF, et al. DTI and MTR abnormalities in schizophrenia: analysis of white matter integrity. Neuroimage 2005;26:1109–18
- ↵Porikli F. Ambiguity Detection by Fusion and Conformity: A Spectral Clustering Approach. Presented at the IEEE International Conference Integration of Knowledge Intensive Multi-Agent Systems (KIMAS); Waltham, Mass, May2005;366–72
- ↵Zelnik-Manor L, Perona P. Self-Tuning Spectral Clustering. Presented at the Annual Meeting of the National Information Processing Systems; December 5–7,2005; Vancouver, B.C., Canada
- ↵Conturo TE, Lori NF, Cull TS, et al. Tracking neuronal fiber pathways in the living human brain. Proc Natl Acad Sci USA 1999;96:10422–27
- ↵Stieltjes B, Kaufmann WE, van Zijl PC, et al. Diffusion tensor imaging and axonal tracking in the human brainstem. Neuroimage 2001;14:723–35
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A Method for Clustering White Matter Fiber Tracts
L.J. O’Donnell, M. Kubicki, M.E. Shenton, M.H. Dreusicke, W.E.L. Grimson, C.F. Westin
American Journal of Neuroradiology May 2006, 27 (5) 1032-1036;
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