The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Robust clustering of massive tractography datasets
Abstract
This paper presents a clustering method that detects the fiber bundles embedded in any MR-diffusion based tractography dataset. Our method can be seen as a compressing operation, capturing the most meaningful information enclosed in the fiber dataset. For the sake of efficiency, part of the analysis is based on clustering the white matter (WM) voxels rather than the fibers. The resulting regions of interest are used to define subset of fibers that are subdivided further into consistent bundles using a clustering of the fiber extremities. The dataset is reduced from more than one million fiber tracts to about two thousand fiber bundles. Validations are provided using simulated data and a physical phantom. We see our approach as a crucial preprocessing step before further analysis of huge fiber datasets. An important application will be the inference of detailed models of the subdivisions of white matter pathways and the mapping of the main U-fiber bundles.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Conceptually, the principle of inferring connectivity from local orientation fields can lead to problems as soon as pathways overlap, cross, branch, and have complex geometries7, 35, 36.”
From Tractography-based connectomes are dominated by false-positive connections (2016) · cites this paper as [36]
In the citing paper
“Regions of white matter bottlenecks have been discussed in the past35 and have been highlighted as critical with respect to tractographic findings36.”
From Tractography-based connectomes are dominated by false-positive connections (2016) · cites this paper as [36]
Citations
Cites
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
Smith, S. M., Jenkinson, M., Johansen‐Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., Watkins, K. E., Ciccarelli, O., Cader, M. Z., Matthews, P. M., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.024 · Cited by 6,598
Watersheds in digital spaces: an efficient algorithm based on immersion simulations
Vincent, L. M., & Soille, P. (1991) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.87344 · Cited by 5,663
Hierarchical Clustering Schemes
Johnson, S. C. (1967) · Psychometrika · doi:10.1007/bf02289588 · Cited by 4,948
Diffusion tensor imaging: Concepts and applications
Le Bihan, D., Mangin, J., Poupon, C., Clark, C. A., Pappata, S., Molko, N., & Chabriat, H. (2001) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1076 · Cited by 3,547
Self-citationTournier, J., Calamante, F., & Connelly, A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.016 · Cited by 2,191
Perisylvian language networks of the human brain
Catani, M., Jones, D. K., & ffytche, D. H. (2005) · Annals of Neurology · doi:10.1002/ana.20319 · Cited by 1,832
Reproducibility of quantitative tractography methods applied to cerebral white matter
Wakana, S., Caprihan, A., Panzenboeck, M. M., Fallon, J. H., Perry, M., Gollub, R. L., Hua, K., Zhang, J., Jiang, H., Dubey, P., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.049 · Cited by 1,686
A diffusion tensor imaging tractography atlas for virtual in vivo dissections.
CATANI, M., & THIEBAUTDESCHOTTEN, M. (2008) · Cortex · doi:10.1016/j.cortex.2008.05.004 · Cited by 1,642
Basser, P. J. (1995) · NMR in Biomedicine · doi:10.1002/nbm.1940080707 · Cited by 1,526
Hua, K., Zhang, J., Wakana, S., Jiang, H., Li, X., Reich, D. S., Calabresi, P. A., Pekar, J. J., van Zijl, P. C. M., & Mori, S. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.053 · Cited by 1,507
Reduction of eddy‐current‐induced distortion in diffusion MRI using a twice‐refocused spin echo
Reese, T. G., Heid, O., Weisskoff, R. M., & Wedeen, V. J. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10308 · Cited by 1,229
MRI Atlas of Human White Matter
Mori, S. (2005) · Cited by 1,103
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
Frangi, A. F., Schnabel, J. A., Davatzikos, C. A., Alberola-López, C., & Fichtinger, G. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-00937-3 · Cited by 1,049
MRI atlas of human white matter
Ling, C. L., & Rumpel, H. (2006) · Concepts in Magnetic Resonance Part A · doi:10.1002/cmr.a.20052 · Cited by 1,021
Use of watersheds in contour detection
Beucher, S. (1979) · Medical Entomology and Zoology · Cited by 1,003
Regularized, fast, and robust analytical Q-ball imaging
Descoteaux, M., Angelino, E., Fitzgibbons, S., & Deriche, R. (2007) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21277 · Cited by 850
Self-citationClustering Fiber Traces Using Normalized Cuts
Brun, A., Knutsson, H. E., Park, H., Shenton, M. E., & Westin, C. (2004) · Lecture notes in computer science · doi:10.1007/b100265 · Cited by 787
Deterministic and probabilistic tractography based on complex fibre orientation distributions
Descoteaux, M., Deriche, R., Knosche, T. R., & Anwander, A. (2009) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.2004424 · Cited by 698
Self-citationOishi, K., Zilles, K., Amunts, K., Faria, A. V., Jiang, H., Li, X., Akhter, K., Hua, K., Woods, R. P., Toga, A. W., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.07.009 · Cited by 577
Deformable registration of diffusion tensor MR images with explicit orientation optimization
ZHANG, H., Yushkevich, P. A., Alexander, D. C., & Gee, J. C. (2006) · Medical Image Analysis · doi:10.1016/j.media.2006.06.004 · Cited by 461
Automatic Tractography Segmentation Using a High-Dimensional White Matter Atlas
O’Donnell, L. J., & Westin, C. (2007) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.906785 · Cited by 413
Deformable Registration of Diffusion Tensor MR Images with Explicit Orientation Optimization
Zhang, H. G., Yushkevich, P. A., & Gee, J. C. (2005) · Lecture notes in computer science · doi:10.1007/11566465_22 · Cited by 389
Lawes, I. N. C., Barrick, T. R., Murugam, V., Spierings, N. M. K., Evans, D. R., Song, M., & Clark, C. A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.06.041 · Cited by 379
Jones, D. K., Catani, M., Pierpaoli, C. M., Reeves, S., Shergill, S. S., O'Sullivan, M. J., Golesworthy, P., McGuire, P. K., Horsfield, M. A., Simmons, A., et al. (2005) · Human Brain Mapping · doi:10.1002/hbm.20179 · Cited by 233
Poupon, C., Rieul, B., Kezele, I., Perrin, M., Poupon, F., & Mangin, J. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21789 · Cited by 198
Self-citationTowards a shape model of white matter fiber bundles using diffusion tensor MRI
Corouge, I., Gouttard, S., & Gerig, G. (2005) · doi:10.1109/isbi.2004.1398545 · Cited by 179
Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis
COROUGE, I., FLETCHER, P., JOSHI, S., GOUTTARD, S., & GERIG, G. (2006) · Medical Image Analysis · doi:10.1016/j.media.2006.07.003 · Cited by 177
Structure-specific statistical mapping of white matter tracts
Yushkevich, P. A., Zhang, H. G., Simon, T. J., & Gee, J. C. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.01.013 · Cited by 167
Classification and quantification of neuronal fiber pathways using diffusion tensor MRI
Ding, Z., Gore, J. C., & Anderson, A. W. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10415 · Cited by 159
Fiber Tracking in q-Ball Fields Using Regularized Particle Trajectories
Perrin, M., Poupon, C., Cointepas, Y., Rieul, B., Golestani, N., Pallier, C., Rivière, D., Constantinesco, A., Bihan, D. L., & Mangin, J. (2005) · Lecture notes in computer science · doi:10.1007/11505730_5 · Cited by 143
Self-citationWassermann, D., Bloy, L., Kanterakis, E., Verma, R., & Rachid Deriche, B. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.004 · Cited by 142
A method for clustering white matter fiber tracts.
O’Donnell, L. J., Kubicki, M. R., Shenton, M. E., Dreusicke, M., Grimson, W. E. L., & Westin, C. (2006) · PubMed Central · Cited by 136
Analysis of brain white matter via fiber tract modeling
Gerig, G., Gouttard, S., & Corouge, I. (2005) · doi:10.1109/iembs.2004.1404229 · Cited by 112
Impact of Rician Adapted Non-Local Means Filtering on HARDI
Descoteaux, M., Wiest-Daesslé, N., Prima, S., Barillot, C., & Rachid Deriche, B. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-85990-1_15 · Cited by 99
Self-citationDT-REFinD: Diffusion Tensor Registration With Exact Finite-Strain Differential
Yeo, B. T. T., Vercauteren, T. K., Fillard, P., Peyrat, J., Pennec, X., Golland, P., Ayache, N., & Olivier Clatz, A. (2009) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2009.2025654 · Cited by 89
Automated Atlas-Based Clustering of White Matter Fiber Tracts from DTMRI
Maddah, M., Mewes, A. U. J., Haker, S. J., Grimson, W. E. L., & Warfield, S. K. (2005) · Lecture notes in computer science · doi:10.1007/11566465_24 · Cited by 82
A hybrid approach to automatic clustering of white matter fibers
Li, H., Xue, Z., Guo, L., Liu, T., Hunter, J. V., & Wong, S. T. C. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.08.017 · Cited by 78
Nonlinear Registration of Diffusion MR Images Based on Fiber Bundles
Ziyan, U., Sabuncu, M. R., O’Donnell, L. J., & Westin, C. (2007) · Springer eBooks · doi:10.1007/978-3-540-75757-3_43 · Cited by 46
Connectivity‐Based Parcellation of the Cortical Mantle Usingq‐Ball Diffusion Imaging
Perrin, M., Cointepas, Y., Cachia, A., Poupon, C., Thirion, B., Rivière, D., Cathier, P., Kouby, V. E., Constantinesco, A., Bihan, D. L., et al. (2008) · International Journal of Biomedical Imaging · doi:10.1155/2008/368406 · Cited by 40
Self-citationDiffusion Maps Clustering for Magnetic Resonance Q‐Ball Imaging Segmentation
Wassermann, D., Descoteaux, M., & Rachid Deriche, B. (2008) · International Journal of Biomedical Imaging · doi:10.1155/2008/526906 · Cited by 33
Self-citationShape Bottlenecks and Conservative Flow Systems
Mangin, J., Régis, J. M., & Frouin, V. (1996) · Cited by 29
Self-citationMR Diffusion-Based Inference of a Fiber Bundle Model from a Population of Subjects
Kouby, V. E., Cointepas, Y., Poupon, C., Rivière, D., Narly Golestani, A., Poline, J.-B., Bihan, D. L., & Mangin, J. (2005) · Lecture notes in computer science · doi:10.1007/11566465_25 · Cited by 24
Self-citationO’Donnell, L. J., Westin, C., & Golby, A. J. (2007) · Springer eBooks · doi:10.1007/978-3-540-75759-7_20 · Cited by 20
A Statistical Model of White Matter Fiber Bundles Based on Currents
Durrleman, S., Fillard, P., Pennec, X., Trouvé, A., & Ayache, N. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02498-6_10 · Cited by 16
Inference of a HARDI Fiber Bundle Atlas Using a Two-Level Clustering Strategy
Guevara, P., Poupon, C., Rivière, D., Cointepas, Y., Marrakchi‐Kacem, L., Descoteaux, M., Fillard, P., Thirion, B., & Mangin, J. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15705-9_67 · Cited by 10
Self-citationBelief Propagation Based Segmentation of White Matter Tracts in DTI
Bazin, P., Bogovic, J., Reich, D. S., Prince, J. L., & Pham, D. L. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04268-3_116 · Cited by 10
Mean q-Ball Strings Obtained by Constrained Procrustes Analysis with Point Sliding
Kezele, I., Poupon, C., Perrin, M., Cointepas, Y., Kouby, V. E., Poupon, F., & Mangin, J. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-85988-8_123 · Cited by 5
Self-citation
Cited by
Sorted by citations
Tractography-based connectomes are dominated by false-positive connections
Maier-Hein, K. H., Neher, P., Houde, J.-C., Côté, M.-A., Garyfallidis, E., Zhong, J., Chamberland, M., Yeh, F.-C., Lin, Y.-C., Ji, Q., et al. (2016) · doi:10.1101/084137 · Cited by 1,376
Self-citationDubois, J., Dehaene-Lambertz, G., Kulikova, S., Poupon, C., Hüppi, P. S., & Hertz-Pannier, L. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2013.12.044 · Cited by 851
Self-citationShort frontal lobe connections of the human brain
Catani, M., Dell’Acqua, F., Vergani, F., Malik, F., Hodge, H., Roy, P. K., Valabrègue, R., & de Schotten, M. T. (2011) · Cortex · doi:10.1016/j.cortex.2011.12.001 · Cited by 828
QuickBundles, a Method for Tractography Simplification
Garyfallidis, E., Brett, M., Correia, M., Williams, G. B., & Nimmo‐Smith, I. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00175 · Cited by 315
Worbe, Y., Marrakchi‐Kacem, L., Lecomte, S., Valabrègue, R., Poupon, F., Guevara, P., Tucholka, A., Mangin, J., Vidailhet, M., Lehéricy, S., et al. (2014) · Brain · doi:10.1093/brain/awu311 · Cited by 257
Self-citation
Metadata
- Authors
- Guevara, P., Poupon, C., Rivière, D., Cointepas, Y., Descoteaux, M., Thirion, B., & Mangin, J.-F.
- Affiliations
- University of Concepción (CL)
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
- Université de Sherbrooke (CA)
- Institut national de recherche en sciences et technologies du numérique (FR)
- Corresponding author
- Guevara, P.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2011-02
- Volume
- 54
- Issue
- 3
- Pages
- 1975-1993
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W1966699768
- Cited by
- 157
- References
- 47
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 7 · 2023: 8 · 2022: 9 · 2021: 8 · 2020: 16 · 2019: 8 · 2018: 8 · 2017: 11 · 2016: 15 · 2015: 15 · 2014: 17 · 2013: 13 · 2012: 5
- FWCI
- 6.50
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Région Ile-de-France (France)
- French Embassy in Chile
- CONICYT Chile
- University of Concepción (Chile)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Keywords
- diffusion MRI tractography
- MeSH terms
- Adult, Algorithms, Brain, Child, Computer Simulation, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Nerve Fibers, Neural Pathways, Reproducibility of Results, Cluster Analysis, Databases, Factual, Phantoms, Imaging, Data Compression, Diffusion Tensor Imaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
