{"version":1,"kind":"Article","sha256":"","slug":"636","location":"","dependencies":[],"doi":"10.54294/71u60v","thumbnail":"https://pub.desci.com/ipfs/bafkreiamxqiy26h276l3ykpol4rhjitlyylfbvkhotdrkvqwzqjxso6cua","frontmatter":{"title":"Simultaneous Manifold Learning and Clustering: Grouping White Matter Fiber Tracts Using a Volumetric White Matter Atlas","abstract":"We propose a new clustering algorithm. This algorithm performs clustering and manifold learning simultaneously by using a graph-theoretical approach to manifold learning. We apply this algorithm in order to cluster white matter ﬁber tracts obtained fromDiffusion TensorMRI (DT-MRI) through streamline tractography. Our algorithm is able perform clustering of these fiber tracts incorporating information about the shape of the ﬁber and a priori knowledge as the probability of the fiber belonging to known anatomical structures. This anatomical knowledge is incorporated as a volumetric white matter atlas, in this case LONI's ICBM DTI-81","license":"You are licensing your work to Kitware Inc. under the\nCreative Commons Attribution License Version 3.0.\n\nKitware Inc. agrees to the following:\n\nKitware is free\n * to copy, distribute, display, and perform the work\n * to make derivative works\n * to make commercial use of the work\n\nUnder the following conditions:\n\\\"by Attribution\\\" - Kitware must attribute the work in the manner specified by the author or licensor.\n\n * For any reuse or distribution, they must make clear to others the license terms of this work.\n * Any of these conditions can be waived if they get permission from the copyright holder.\n\nYour fair use and other rights are in no way affected by the above.\n\nThis is a human-readable summary of the Legal Code (the full license) available at\nhttp://creativecommons.org/licenses/by/3.0/legalcode","keywords":["clustering","learning"],"authors":[{"name":"Wassermann , Demian","affiliations":[]},{"name":"Deriche, Rachid","affiliations":[]}],"date_submitted":"2008-09-12 11:59:02","external_publication_id":636,"revision_cids":["bafkreiaqzhflnbejcr4bj5ygeqbrsmdgbf5iadg3xkb3zyybrvkhcwl56i"],"thumbnail":"https://pub.desci.com/ipfs/bafkreiamxqiy26h276l3ykpol4rhjitlyylfbvkhotdrkvqwzqjxso6cua"},"mdast":{"type":"root"},"downloads":[{"url":"https://ipfs.desci.com/ipfs/bafkreihdxkvspvfr5e6whpbxbagedshky7hhtztemkxjgtsf77jpxdnuqi","title":"root/insight-journal-metadata.json","filename":"insight-journal-metadata.json","extra":{"size_bytes":8566,"type":"file"}},{"url":"https://dweb.link/ipfs/bafkreid73fr74pme6r77wtks3cj3my4dthlmx6xqvlmstkdnlmhe2buezi","title":"root/article.pdf","filename":"article.pdf","extra":{"size_bytes":903643,"type":"file"}}],"references":{"cite":{"order":["ref1","ref2","ref3","ref4","ref5","ref6","ref7","ref8","ref9","ref10","ref11","ref12","ref13","ref14","ref15","ref16","ref17","ref18","ref19"]},"data":{"ref1":{"label":"ref1","enumerator":"1","url":"https://doi.org/10.1006/jmrb.1996.0086","html":"Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI+Journal of Magnetic Resonance B+111+3+1996+209+219+P. Basser+C. Pierpaoli"},"ref2":{"label":"ref2","enumerator":"2","url":"https://doi.org/10.1002/1531-8249(199902)45:2<265::aid-ana21>3.0.co;2-3","html":"Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging+Annals of Neurology+45+2+1999+265+269+S. Mori+B.J. Crain+V.P. Chacko+P.C.M.V. Zijl"},"ref3":{"label":"ref3","enumerator":"3","url":"https://doi.org/10.1016/s1053-8119(01)91371-0","html":"Automated fuzzy clustering of neuronal pathways in diffusion tensor tracking+Proc. Intl. Soc. Mag. Reson. Med+10+2002+J. Shimony+A. Snyder+N. Lori+T. Conturo"},"ref4":{"label":"ref4","enumerator":"4","url":"https://doi.org/10.1002/mrm.10415","html":"Classification and quantification of neuronal fiber pathways using diffusion tensor MRI+Magnetic Resonance in Medicine 49(4)+2003+716+721+Z. Ding+J. Gore+A. Anderson"},"ref5":{"label":"ref5","enumerator":"5","url":"https://doi.org/10.1007/978-3-540-30135-6_45","html":"Clustering fiber traces using normalized cuts+In: Medical Image Computing and Computer-Assisted Intervention MICCAI 2004+3216+2004+518+529+A. Brun+H. Park+H. Knutsson+M.E. Shenton+C. Westin"},"ref6":{"label":"ref6","enumerator":"6","url":"https://doi.org/10.1007/978-3-540-75759-7_20","html":"Volume 4792 of LNCS+2007+161+168+O 'Donnell+L.J. Westin+C.F. Golby+A.J.+S. Ourselin+Maeder+Intervention - MICCAI Computer-Assisted"},"ref7":{"label":"ref7","enumerator":"7","url":"https://doi.org/10.1109/cvpr.2007.383096","html":"Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs+Computer Vision and Pattern Recognition+2007+1+6+A. Tsai+C. Westin+III Hero+A. Willsky+A."},"ref8":{"label":"ref8","enumerator":"8","url":"https://doi.org/10.1109/iccv.2007.4409143","html":"A robust algorithm for fiberbundle atlas construction+2007+U. Ziyan+M.R. Sabuncu+W.E.L. Grimson+C.F. Westin"},"ref9":{"label":"ref9","enumerator":"9","url":"https://doi.org/10.1016/j.media.2007.10.003","html":"A unified framework for clustering and quantitative analysis of white matter fiber tracts+Medical Image Analysis+12+2+2008+191+202+M. Maddah+W.E.L. Grimson+S.K. Warfield+W.M.: Wells"},"ref10":{"label":"ref10","enumerator":"10","url":"https://doi.org/10.1109/isbi.2008.4540943","html":"A mathematical framework for incorporating anatomical knowledge in DT-MRI analysis+In: ISBI+2008+M. Maddah+L. Zollei+W.E.L. Grimson+C.F. Westin+W.M.: Wells"},"ref11":{"label":"ref11","enumerator":"11","url":"https://doi.org/10.1126/science.290.5500.2319","html":"Framework for Nonlinear Dimensionality Reduction+Science+290+5500+2000+2319+J. Tenenbaum+V. Silva+J.: A Global Langford+Geometric"},"ref12":{"label":"ref12","enumerator":"12","url":"https://doi.org/10.1109/iccv.2007.4408978","html":"Mode-seeking by medoidshifts+In: IEEE International Conference on Computer Vision. Number+141+2007+Y.A. Sheikh+E. Khan+T. Kanade"},"ref13":{"label":"ref13","enumerator":"13","url":"https://doi.org/10.1109/34.1000236","html":"Mean shift: a robust approach toward feature space analysis+IEEE PAMI 24+5+2002+603+619+D. Comaniciu+P. Meer"},"ref14":{"label":"ref14","enumerator":"14","html":"Graph approximations to geodesics on embedded manifolds+2000+M. Bernstein+V. Silva+J.C. Langford+J.B. Tenenbaum"},"ref15":{"label":"ref15","enumerator":"15","url":"https://doi.org/10.1109/tmi.2007.906785","html":"Automatic tractography segmentation using a highdimensional white matter atlas+IEEE Transactions on Medical Imaging+26+11+2007+1562+1575+O 'Donnell+L.J. Westin+C.F."},"ref16":{"label":"ref16","enumerator":"16","url":"https://doi.org/10.1007/978-3-540-45210-2_47","html":"Coloring of dt-mri fiber traces using laplacian eigenmaps+In: Computer Aided Systems Theory - EUROCAST+2809+2003+518+529+A. Brun+H. Park+H. Knutsson+C. Westin"},"ref17":{"label":"ref17","enumerator":"17","url":"https://doi.org/10.1016/j.media.2006.07.003","html":"Fiber tract-oriented statistics for quantitative diffusion tensor mri analysis+In: Medical Image Analysis+10+2005+786+798+I. Corouge+P.T. Fletcherb+S. Joshic+S. Gouttardd+Geriga"},"ref18":{"label":"ref18","enumerator":"18","url":"https://doi.org/10.1007/11866763_30","html":"High-dimensional white matter atlas generation and group analysis+: MICCAI. Volume 4191 of Lecture Notes in Computer Science+2006+243+251+O 'Donnell+L. Westin+C.F.+M. Nielsen+Sporring"},"ref19":{"label":"ref19","enumerator":"19","url":"https://doi.org/10.1007/s11263-008-0141-9","html":"Large deformation diffeomorphic metric curve mapping+International Journal of Computer Vision+2008+A. Qiu+M. Miller+L. Younes"}}}}