{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T18:33:31Z","timestamp":1760985211747,"version":"3.40.4"},"publisher-location":"London","reference-count":69,"publisher":"Springer London","isbn-type":[{"type":"print","value":"9781447164968"},{"type":"electronic","value":"9781447164975"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-1-4471-6497-5_8","type":"book-chapter","created":{"date-parts":[[2014,9,18]],"date-time":"2014-09-18T06:49:30Z","timestamp":1411022970000},"page":"79-92","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Fuzzy Fibers: Uncertainty in dMRI Tractography"],"prefix":"10.1007","author":[{"given":"Thomas","family":"Schultz","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anna","family":"Vilanova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ralph","family":"Brecheisen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gordon","family":"Kindlmann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,9,19]]},"reference":[{"key":"8_CR1","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1002\/mrm.10209","volume":"48","author":"DC Alexander","year":"2002","unstructured":"Alexander, D.C., Barker, G.J., Arridge, S.R.: Detection and modeling of non-gaussian apparent diffusion coefficient profiles in human brain data. Magn. Reson. Med. 48, 331\u2013340 (2002)","journal-title":"Magn. Reson. Med."},{"key":"8_CR2","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.neuroimage.2006.09.018","volume":"34","author":"TEJ Behrens","year":"2007","unstructured":"Behrens, T.E.J., Johansen-Berg, H., Jbabdi, S., Rushworth, M.F.S., Woolrich, M.W.: Probabilistic diffusion tractography with multiple fibre orientations: what can we gain? NeuroImage 34, 144\u2013155 (2007)","journal-title":"NeuroImage"},{"key":"8_CR3","doi-asserted-by":"publisher","first-page":"1077","DOI":"10.1002\/mrm.10609","volume":"50","author":"TEJ Behrens","year":"2003","unstructured":"Behrens, T.E.J., Woolrich, M.W., Jenkinson, M., Johansen-Berg, H., Nunes, R.G., Clare, S., Matthews, P.M., Brady, J.M., Smith, S.M.: Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magn. Reson. Med. 50, 1077\u20131088 (2003)","journal-title":"Magn. Reson. Med."},{"key":"8_CR4","doi-asserted-by":"crossref","unstructured":"Bj\u00f6rnemo, M., Brun, A., Kikinis, R., Westin, C.F.: Regularized stochastic white matter tractography using diffusion tensor MRI. In: Dohi, T., Kikinis, R. (eds.) Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI), Lecture Notes in Computer Science, vol. 2488, pp. 435\u2013442. Springer, Berlin (2002)","DOI":"10.1007\/3-540-45786-0_54"},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Blaas, J., Botha, C.P., Peters, B., Vos, F.M., Post, F.H.: Fast and reproducible fiber bundle selection in DTI visualization. In: Silva, C., Gr\u00f6ller, E., Rushmeier, H. (eds) Proceedings of IEEE Visualization, pp. 59\u201364 (2005)","DOI":"10.1109\/VISUAL.2005.1532778"},{"key":"8_CR6","doi-asserted-by":"crossref","unstructured":"Brecheisen, R., Platel, B., ter Haar Romenij, B.M., Vilanova, A.: Illustrative uncertainty visualization for DTI fiber pathways. In: Poster Proceedings of EuroVis (2011)","DOI":"10.1007\/s00371-012-0733-9"},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"Brecheisen, R., Vilanova, A., Platel, B., ter Haar Romenij, B.M.: Parameter sensitivity visualization for DTI fiber tracking. IEEE Trans. Vis. Comput. Graph. 15(6), 1441\u20131448 (2009)","DOI":"10.1109\/TVCG.2009.170"},{"key":"8_CR8","unstructured":"Bretthorst, G.L., Kroenke, C.D., Neil, J.J.: Characterizing water diffusion in fixed baboon brain. In Fischer, R., Preuss, R., von Toussaint, U. (eds.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering, pp. 3\u201315 (2004)"},{"issue":"1","key":"8_CR9","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1055\/s-0028-1087212","volume":"70","author":"U B\u00fcrgel","year":"2009","unstructured":"B\u00fcrgel, U., M\u00e4dler, B., Honey, C.R., Thron, A., Gilsbach, J., Coenen, V.A.: Fiber tracking with distinct software tools results in a clear diversity in anatomical fiber tract portrayal. Cen. Eur. Neurosurg. 70(1), 27\u201335 (2009)","journal-title":"Cen. Eur. Neurosurg."},{"issue":"4","key":"8_CR10","doi-asserted-by":"publisher","first-page":"1233","DOI":"10.1016\/j.neuroimage.2010.07.024","volume":"53","author":"F Calamante","year":"2010","unstructured":"Calamante, F., Tournier, J.D., Jackson, G.D., Connelly, A.: Track-density imaging (TDI): super-resolution white matter imaging using whole-brain track-density mapping. NeuroImage 53(4), 1233\u20131243 (2010)","journal-title":"NeuroImage"},{"key":"8_CR11","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1006\/nimg.2002.1136","volume":"17","author":"M Catani","year":"2002","unstructured":"Catani, M., Howard, R.J., Pajevic, S., Jones, D.K.: Virtual in vivo interactive dissection of white matter fasciculi in the human brain. NeuroImage 17, 77\u201394 (2002)","journal-title":"NeuroImage"},{"issue":"2","key":"8_CR12","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1016\/j.neuroimage.2006.07.001","volume":"33","author":"S Chung","year":"2006","unstructured":"Chung, S., Ying, L.: Comparison of bootstrap approaches for estimation of uncertainties of DTI parameters. NeuroImage 33(2), 531\u2013541 (2006)","journal-title":"NeuroImage"},{"key":"8_CR13","doi-asserted-by":"publisher","first-page":"348","DOI":"10.1016\/S1053-8119(02)00042-3","volume":"18","author":"O Ciccarelli","year":"2003","unstructured":"Ciccarelli, O., Parker, G.J.M., Toosy, A.T., Wheeler-Kingshott, C.A.M., Barker, G.J., Boulby, P.A., Miller, D.H., Thompson, A.J.: From diffusion tractography to quantitative white matter tract measures: a reproducibility study. NeuroImage 18, 348\u2013359 (2003)","journal-title":"NeuroImage"},{"key":"8_CR14","doi-asserted-by":"publisher","first-page":"716","DOI":"10.1002\/mrm.10415","volume":"49","author":"Z Ding","year":"2003","unstructured":"Ding, Z., Gore, J.C., Anderson, A.W.: Classification and quantification of neuronal fiber pathways using diffusion tensor MRI. Magn. Reson. Med. 49, 716\u2013721 (2003)","journal-title":"Magn. Reson. Med."},{"key":"8_CR15","doi-asserted-by":"crossref","unstructured":"Ehricke, H.-H., Klose, U., Grodd, W.: Visualizing MR diffusion tensor fields by dynamic fiber tracking and uncertainty mapping. Comput. Graph. 30, 255\u2013264 (2006)","DOI":"10.1016\/j.cag.2006.01.031"},{"key":"8_CR16","doi-asserted-by":"crossref","unstructured":"Farrell, J.A.D., Landman, B.A., Jones, C.K., Smith, S.A., Prince, J.L., van Zijl, P.C.M., Mori, S.: Effects of signal-to-noise ratio on the accuracy and reproducibility of diffusion tensor imaging-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T. J. Magn. Reson. Imag. 26, 756\u2013767 (2007)","DOI":"10.1002\/jmri.21053"},{"key":"8_CR17","doi-asserted-by":"crossref","unstructured":"Freidlin, R.Z., \u00d6zarslan, E., Komlosh, M.E., Chang, L.-C., Koay, C.G., Jones, D.K., Basser, P.J.: Parsimonious model selection for tissue segmentation and classification applications: a study using simulated and experimental DTI data. IEEE Trans. Med. Imaging 26(11), 1576\u20131584 (2007)","DOI":"10.1109\/TMI.2007.907294"},{"key":"8_CR18","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1016\/S0730-725X(02)00511-8","volume":"20","author":"H Greenspan","year":"2002","unstructured":"Greenspan, H., Oz, G., Kiryati, N., Peled, S.: MRI inter-slice reconstruction using super-resolution. Magn. Reson. Imaging 20, 437\u2013446 (2002)","journal-title":"Magn. Reson. Imaging"},{"key":"8_CR19","doi-asserted-by":"publisher","first-page":"545","DOI":"10.1016\/S1053-8119(03)00142-3","volume":"19","author":"P Hagmann","year":"2003","unstructured":"Hagmann, P., Thiran, J.-P., Jonasson, L., Vandergheynst, P., Clarke, S., Maeder, P., Meuli, R.: DTI mapping of human brain connectivity: statistical fibre tracking and virtual dissection. NeuroImage 19, 545\u2013554 (2003)","journal-title":"NeuroImage"},{"key":"8_CR20","unstructured":"Heidemann, R.M., Porter, D.A., Anwander, A., Feiweier, T., Calamante, F., Tournier, J.-S., Lohmann, G., Meyer, H., Kn\u00f6sche, T.R., Turner, R.: Whole-brain, multi-shot, diffusion-weighted imaging in humans at 7T with 1 mm isotropic resolution. In Proceedings of International Society of Magnetic Resonance in Medicine (ISMRM), p. 417 (2011)"},{"key":"8_CR21","doi-asserted-by":"publisher","first-page":"867","DOI":"10.1016\/j.neuroimage.2006.07.037","volume":"33","author":"E Heiervang","year":"2006","unstructured":"Heiervang, E., Behrens, T.E.J., Mackay, C.E., Robson, M.D., Johansen-Berg, H.: Between session reproducibility and between subject variability of diffusion MRI and tractography measures. NeuroImage 33, 867\u2013877 (2006)","journal-title":"NeuroImage"},{"issue":"4","key":"8_CR22","doi-asserted-by":"publisher","first-page":"382","DOI":"10.1214\/ss\/1009212519","volume":"14","author":"JA Hoeting","year":"1999","unstructured":"Hoeting, J.A., Madigan, D., Raftery, A.E., Volinsky, C.T.: Bayesian model averaging: a tutorial. Stat. Sci. 14(4), 382\u2013417 (1999)","journal-title":"Stat. Sci."},{"key":"8_CR23","unstructured":"Hsu, E.: Generalized line integral convolution rendering of diffusion tensor fields. In Proceedings of International Society of Magnetic Resonance in Medicine (ISMRM), p. 790 (2001)"},{"key":"8_CR24","doi-asserted-by":"crossref","unstructured":"Hao, H., Zhang, J., van Zijl, P.C.m., Mori, S.: Analysis of noise effects on DTI-based tractography using the brute-force and multi-ROI approach. Magn. Reson. Med. 52, 559\u2013565 (2004)","DOI":"10.1002\/mrm.20147"},{"key":"8_CR25","doi-asserted-by":"crossref","unstructured":"Hubbard, P.L., Parker, G.J.M.: Validation of tractography. In: Johansen-Berg, H., Behrens, T.E.J. (eds.) Diffusion MRI: From Quantitative Measurement to in-Vivo Neuroanatomy, pp. 353\u2013375. Academic Press, Massachusetts (2009)","DOI":"10.1016\/B978-0-12-374709-9.00016-X"},{"key":"8_CR26","unstructured":"Jeurissen, B., Leemans, A., Tournier, J-D. Jones, D.K., Sijbers, J.: Estimating the number of fiber orientations in diffusion MRI voxels: a spherical deconvolution study. In Proceedings of International Society of Magnetic Resonance in Medicine (ISMRM) (2010)"},{"key":"8_CR27","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1002\/hbm.21032","volume":"32","author":"B Jeurissen","year":"2011","unstructured":"Jeurissen, B., Leemans, A., Jones, D.K., Tournier, J.D., Sijbers, J.: Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution. Hum. Brain Mapp. 32, 461\u2013479 (2011)","journal-title":"Hum. Brain Mapp."},{"key":"8_CR28","doi-asserted-by":"crossref","unstructured":"Jiao, F., Phillips, J.M., Gur, Y., Johnson, C.R.: Uncertainty visualization in HARDI based on ensembles of ODFs. In: Hauser, H., Kobourov, S.G., Qu, H. (eds.) Proceedings of IEEE Pacific Visualization Symposium, pp. 193\u2013200 (2012)","DOI":"10.1109\/PacificVis.2012.6183591"},{"key":"8_CR29","doi-asserted-by":"crossref","unstructured":"Jiao, F., Phillips, J.M., Stinstra, J., Kr\u00fcger, J., Varma, R., Hsu, E., Korenberg, J., Johnson, C.R.: Metrics for uncertainty analysis and visualization of diffusion tensor images. In: Liao, H., Eddie Edwards, P.J., Pan, X., Fan, Y., Yang, G.-Z. (eds.) Proceedings of Medical Imaging and Augmented Reality. Lecture Notes in Computer Science, vol. 6326, pp. 179\u2013190 (2010)","DOI":"10.1007\/978-3-642-15699-1_19"},{"key":"8_CR30","doi-asserted-by":"crossref","unstructured":"Jones, D.K., Travis, A.R., Eden, G., Pierpaoli, C., Basser, P.J.: Pasta: pointwise assessment of streamline tractography attributes. Magn. Reson. Med. 53(6), 1462\u20131467 (2005)","DOI":"10.1002\/mrm.20484"},{"key":"8_CR31","doi-asserted-by":"crossref","unstructured":"Jones, D.K.: Determining and visualizing uncertainty in estimates of fiber orientation from diffusion tensor MRI. Magn. Reson. Med. 49, 7\u201312 (2003)","DOI":"10.1002\/mrm.10331"},{"issue":"9","key":"8_CR32","doi-asserted-by":"publisher","first-page":"1268","DOI":"10.1109\/TMI.2008.922191","volume":"27","author":"DK Jones","year":"2008","unstructured":"Jones, D.K.: Tractography gone wild: probabilistic fibre tracking using the wild bootstrap with diffusion tensor MRI. IEEE Trans. Med. Imaging 27(9), 1268\u20131274 (2008)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"3","key":"8_CR33","first-page":"341","volume":"2","author":"DK Jones","year":"2010","unstructured":"Jones, D.K.: Challenges and limitations of quantifying brain connectivity in vivo with diffusion MRI. Future Med. 2(3), 341\u2013355 (2010)","journal-title":"Future Med."},{"key":"8_CR34","doi-asserted-by":"publisher","first-page":"803","DOI":"10.1002\/nbm.1543","volume":"23","author":"DK Jones","year":"2010","unstructured":"Jones, D.K., Cercignani, M.: Twenty-five pitfalls in the analysis of diffusion MRI data. NMR Biomed. 23, 803\u2013820 (2010)","journal-title":"NMR Biomed."},{"key":"8_CR35","doi-asserted-by":"publisher","first-page":"1143","DOI":"10.1002\/mrm.20466","volume":"53","author":"DK Jones","year":"2005","unstructured":"Jones, D.K., Pierpaoli, C.: Confidence mapping in diffusion tensor magnetic resonance imaging tractography using a bootstrap approach. Magn. Reson. Med. 53, 1143\u20131149 (2005)","journal-title":"Magn. Reson. Med."},{"issue":"430","key":"8_CR36","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1080\/01621459.1995.10476572","volume":"90","author":"RE Kass","year":"1995","unstructured":"Kass, R.E., Raftery, A.E.: Bayes factors. J. Am. Stat. Assoc. 90(430), 773\u2013795 (1995)","journal-title":"J. Am. Stat. Assoc."},{"issue":"2","key":"8_CR37","doi-asserted-by":"publisher","first-page":"424","DOI":"10.1016\/j.neuroimage.2004.07.076","volume":"25","author":"M Kinoshita","year":"2005","unstructured":"Kinoshita, M., Yamada, K., Hashimoto, N., Kato, A., Izumoto, S., Baba, T., Maruno, M., Nishimura, T., Yoshimine, T.: Fiber-tracking does not accurately estimate size of fiber bundle in pathological condition: initial neurosurgical experience using neuronavigation and subcortical white matter stimulation. NeuroImage 25(2), 424\u2013429 (2005)","journal-title":"NeuroImage"},{"key":"8_CR38","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1006\/nimg.2001.1052","volume":"16","author":"MA Koch","year":"2002","unstructured":"Koch, M.A., Norris, D.G., Hund-Georgiadis, M.: An investigation of functional and anatomical connectivity using magnetic resonance imaging. NeuroImage 16, 241\u2013250 (2002)","journal-title":"NeuroImage"},{"issue":"2","key":"8_CR39","doi-asserted-by":"publisher","first-page":"524","DOI":"10.1016\/j.neuroimage.2004.08.050","volume":"24","author":"M Lazar","year":"2005","unstructured":"Lazar, M., Alexander, A.L.: Bootstrap white matter tractography (BOOT-TRAC). NeuroImage 24(2), 524\u2013532 (2005)","journal-title":"NeuroImage"},{"key":"8_CR40","doi-asserted-by":"crossref","unstructured":"McGraw, T., NadarM.S.: Stochastic DT-MRI connectivity mapping on the GPU. IEEE Trans. Visual. Comput. Graph. 13(6), 1504\u20131511 (2007)","DOI":"10.1109\/TVCG.2007.70597"},{"key":"8_CR41","unstructured":"Nedjati-Gilani, S., Alexander, D.C.: Fanning and bending sub-voxel structures in diffusion MRI. In Proceedings International Society of Magnetic Resonance in Medicine (ISMRM), p. 1402 (2009)"},{"key":"8_CR42","doi-asserted-by":"crossref","unstructured":"Nedjati-Gilani, S., Alexander, D.C., Parker, G.J.M.: Regularized super-resolution for diffusion MRI. In Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), pp. 875\u2013878 (2008)","DOI":"10.1109\/ISBI.2008.4541136"},{"issue":"1","key":"8_CR43","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S1090-7807(02)00178-7","volume":"161","author":"S Pajevic","year":"2003","unstructured":"Pajevic, S., Basser, P.J.: Parametric and non-parametric statistical analysis of DT-MRI data. J. Magn. Reson. 161(1), 1\u201314 (2003)","journal-title":"J. Magn. Reson."},{"key":"8_CR44","doi-asserted-by":"crossref","unstructured":"Parker, G.J.M., Alexander, D.C.: Probabilistic monte carlo based mapping of cerebral connections utilising whole-brain crossing fibre information. In: Taylor, C.J., Noble, J.A. (eds.) Information Processing in Medical Imaging. Lecture Notes in Computer Science, vol. 2732, pp. 684\u2013695. Springer, Berlin (2003)","DOI":"10.1007\/978-3-540-45087-0_57"},{"key":"8_CR45","doi-asserted-by":"crossref","unstructured":"Parker, G.J.M., Haroon, H.A., Wheeler-Kingshott, C.A.M.: A framework for a streamline-based probabilistic index of connectivity (pico) using a structural interpretation of MRI diffusion measurements. J. Magn. Reson. Imaging 18, 242\u2013254 (2003)","DOI":"10.1002\/jmri.10350"},{"key":"8_CR46","doi-asserted-by":"crossref","unstructured":"Peled, S., Friman, O., Jolesz, F., Westin, C.-F.: Geometrically constrained two-tensor model for crossing tracts in DWI. Magn. Reson. Imaging 24(9), 1263\u20131270 (2006)","DOI":"10.1016\/j.mri.2006.07.009"},{"key":"8_CR47","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1002\/1522-2594(200101)45:1<29::AID-MRM1005>3.0.CO;2-Z","volume":"45","author":"S Peled","year":"2001","unstructured":"Peled, S., Yeshurun, Y.: Superresolution in MRI: application to human white matter fiber tract visualization by diffusion tensor imaging. Magn. Reson. Med. 45, 29\u201335 (2001)","journal-title":"Magn. Reson. Med."},{"key":"8_CR48","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1002\/mrm.10237","volume":"48","author":"S Peled","year":"2002","unstructured":"Peled, S., Yeshurun, Y.: Superresolution in MRI\u2014perhaps sometimes. Magn. Reson. Med. 48, 409 (2002)","journal-title":"Magn. Reson. Med."},{"key":"8_CR49","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1002\/jmri.10377","volume":"18","author":"A Pfefferbaum","year":"2003","unstructured":"Pfefferbaum, A., Adalsteinsson, E., Sullivan, E.V.: Replication of diffusion tensor imaging measurements of fractional anisotropy and trace in brain. J. Magn. Reson. Imaging 18, 427\u2013433 (2003)","journal-title":"J. Magn. Reson. Imaging"},{"key":"8_CR50","doi-asserted-by":"crossref","unstructured":"Qazi, A.A., Radmanesh, A., O\u2019Donnell, L., Kindlmann, G., Peled, S., Whalen, S., Westin, C.-F., Golby, A.J.: Resolving crossings in the corticospinal tract by two-tensor streamline tractography: method and clinical assessment using fMRI. NeuroImage, 47(Supplement 2), T98\u2013T106 (2009, in press)","DOI":"10.1016\/j.neuroimage.2008.06.034"},{"key":"8_CR51","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1002\/mrm.10203","volume":"48","author":"K Scheffler","year":"2002","unstructured":"Scheffler, K.: Superresolution in MRI? Magn. Reson. Med. 48, 408 (2002)","journal-title":"Magn. Reson. Med."},{"key":"8_CR52","doi-asserted-by":"crossref","unstructured":"Scherrer, B., Gholipour, A., Warfield, S.K.: Super-resolution in diffusion-weighted imaging. In: Fichtinger, G., Martel, A., Peters, T. (eds.) Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI). Lecture Notes in Computer Science, vol. 6892, pp. 124\u2013132. Springer, Berlin (2011)","DOI":"10.1007\/978-3-642-23629-7_16"},{"key":"8_CR53","unstructured":"Schultz. T.: Feature extraction for visual analysis of DW-MRI data. Ph.D. thesis, Universit\u00e4t des Saarlandes (2009)"},{"key":"8_CR54","doi-asserted-by":"crossref","unstructured":"Schultz, T: Learning a reliable estimate of the number of fiber directions in diffusion MRI. In: Ayache, N. et al. (eds.) Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 493\u2013500 (2012) (Part III volume 7512 of LNCS)","DOI":"10.1007\/978-3-642-33454-2_61"},{"issue":"3","key":"8_CR55","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1111\/cgf.12099","volume":"32","author":"T Schultz","year":"2013","unstructured":"Schultz, T., Schlaffke, L., Sch\u00f6lkopf, B., Schmidt-Wilcke, T.: HiFiVE: a Hilbert space embedding of fiber variability estimates for uncertainty modeling and visualization. Comput. Graph. Forum 32(3), 121\u2013130 (2013)","journal-title":"Comput. Graph. Forum"},{"key":"8_CR56","doi-asserted-by":"crossref","unstructured":"Schultz, T., Seidel, H.P.: Estimating crossing fibers: a tensor decomposition approach. IEEE Trans. Visual. Comput. Graph. 14(6):1635\u20131642 (2008)","DOI":"10.1109\/TVCG.2008.128"},{"key":"8_CR57","doi-asserted-by":"crossref","unstructured":"Schultz, T., Theisel, H., Seidel, H.P.: Topological visualization of brain diffusion MRI data. IEEE Trans. Visual. Comput. Graph. 13(6), 1496\u20131503 (2007)","DOI":"10.1109\/TVCG.2007.70602"},{"key":"8_CR58","doi-asserted-by":"crossref","unstructured":"Schultz, T., Westin, C.F., Kindlmann, G.: Multi-diffusion-tensor fitting via spherical deconvolution: a unifying framework. In Jiang, T. et al. (eds.) Proceedings of Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 673\u2013680. Springer, Berlin (2010) (vol. 6361 of Lecture Notes in Computer Science)","DOI":"10.1007\/978-3-642-15705-9_82"},{"key":"8_CR59","doi-asserted-by":"crossref","unstructured":"A.J. Sherbondy, R.F. Dougherty, M. Ben-Shachar, S. Napel, and B. Wandell. Contrack: Finding the most likely pathways between brain regions using diffusion tractography. Journal of Vision, 8:1, 2008.","DOI":"10.1167\/8.9.15"},{"key":"8_CR60","doi-asserted-by":"publisher","unstructured":"Sotiropoulos, S.N., Jbabdi, S., Xu, J., Andersson, J.L., Moeller, S., Auerbach, E.J., Glasser, M.F., Hernandez, M., Sapiro, M., Jenkinson, M., Feinberg, D.A., Yacoub, E., Lenglet, C., Van Essen, D.C., Ugurbil, K., Behrens, T.E.J.: Advances in diffusion MRI acquisition and processing in the human connectome project. NeuroImage. doi:10.1016\/j.neuroimage.2013.05.057 (2013)","DOI":"10.1016\/j.neuroimage.2013.05.057"},{"key":"8_CR61","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1002\/jmri.22584","volume":"34","author":"F Tensaouti","year":"2011","unstructured":"Tensaouti, F., Lahlou, I., Clarisse, P., Lotterie, J.A., Berry, I.: Quantitative and reproducibility study of four tractography alorithms used in clinical routine. Journal of Magnetic Resonance Imaging 34, 165\u2013172 (2011)","journal-title":"Journal of Magnetic Resonance Imaging"},{"key":"8_CR62","doi-asserted-by":"crossref","unstructured":"Tournier, J.D., Calamante, F., Connelly, A.: Non-negativity constrained super-resolved spherical deconvolution: robust determination of the fibre orientation distribution in diffusion MRI. NeuroImage 35, 1459\u20131472 (2007)","DOI":"10.1016\/j.neuroimage.2007.02.016"},{"issue":"2","key":"8_CR63","doi-asserted-by":"publisher","first-page":"370","DOI":"10.1016\/j.neuroimage.2008.12.028","volume":"45","author":"AN Voineskos","year":"2009","unstructured":"Voineskos, A.N., O\u2019Donnell, L.J., Lobaugh, N.J., Markant, D., Ameis, S.H., Niethammer, M., Mulsant, B.H., Pollock, B.G., Kennedy, J.L., Westin, C.-F., Shenton, M.E.: Quantitative examination of a novel clustering method using magnetic resonance diffusion tensor tractography. NeuroImage 45(2), 370\u2013376 (2009)","journal-title":"NeuroImage"},{"issue":"4","key":"8_CR64","doi-asserted-by":"publisher","first-page":"1384","DOI":"10.1016\/j.neuroimage.2010.03.046","volume":"51","author":"C Vollmar","year":"2010","unstructured":"Vollmar, C., O\u2019Muircheartaigh, J., Barker, G.J., Symms, M.R., Thompson, P., Kumari, V., Duncan, J.S., Richardson, M.P., Koepp, M.J.: Identical, but not the same: intra-site and inter-site reproducibility of fractional anisotropy measures on two 3.0 T scanners. NeuroImage 51(4), 1384\u20131394 (2010)","journal-title":"NeuroImage"},{"key":"8_CR65","doi-asserted-by":"publisher","first-page":"630","DOI":"10.1016\/j.neuroimage.2007.02.049","volume":"36","author":"S Wakana","year":"2007","unstructured":"Wakana, S., Caprihan, A., Panzenboeck, M.M., Fallon, J.H., Perry, M., Gollub, R.L., Hua, K., Zhang, J., Jiang, H., Dubey, P., Blitz, A., van Zijl, P., Mori, S.: Reproducibility of quantitative tractography methods applied to cerebral white matter. NeuroImage 36, 630\u2013644 (2007)","journal-title":"NeuroImage"},{"key":"8_CR66","unstructured":"Westin, C.F., Peled, S., Gubjartsson, H., Kikinis, R., Jolesz, F.A.: Geometrical diffusion measures for MRI from tensor basis analysis. In Proceedings of International Society of Magnetic Resonance in Medicine (ISMRM) (1997)"},{"issue":"3","key":"8_CR67","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1002\/hbm.20395","volume":"29","author":"B Whitcher","year":"2008","unstructured":"Whitcher, B., Tuch, D.S., Wisco, J.J., Gregory Sorenson, A., Wang, L.: Using the wild bootstrap to quantify uncertainty in DTI. Human Brain Map. 29(3), 346\u2013362 (2008)","journal-title":"Human Brain Map."},{"key":"8_CR68","doi-asserted-by":"crossref","unstructured":"Wu, J.S., Mao, Y., Zhou, L.F., Tang, W.J., Hu, J., Song, Y.Y., Hong, X.N., Du, G.H.: Clinical evaluation and follow-up outcome of diffusion tensor imaging-based functional neuronavigation: a prospective, controlled study in patients with gliomas involving pyramidal tracts. Neurosurgery 61(5), 935\u2013949 (2007)","DOI":"10.1227\/01.neu.0000303189.80049.ab"},{"key":"8_CR69","unstructured":"Zheng, X., Pang, A.: HyperLIC. In Proceedings of IEEE Visualization, pp. 249\u2013256 (2003)"}],"container-title":["Mathematics and Visualization","Scientific Visualization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-1-4471-6497-5_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,4]],"date-time":"2025-05-04T18:09:17Z","timestamp":1746382157000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-1-4471-6497-5_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9781447164968","9781447164975"],"references-count":69,"URL":"https:\/\/doi.org\/10.1007\/978-1-4471-6497-5_8","relation":{},"ISSN":["1612-3786","2197-666X"],"issn-type":[{"type":"print","value":"1612-3786"},{"type":"electronic","value":"2197-666X"}],"subject":[],"published":{"date-parts":[[2014]]},"assertion":[{"value":"19 September 2014","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}