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Toward global tractography
Abstract
Diffusion-based tractography is an ill-posed problem, because the step-by-step reconstruction of a fibre bundle trajectory cannot afford any serious mistake in the evaluation of the local fibre orientations. Such evaluation is difficult, however, because the myriad fibres passing through a single voxel follow different directions. Modelling tractography as a global inverse problem is a simple framework which addresses the ill-posed nature of the problem. The key idea is that the results of tractography in the neighbourhood of an ambiguous local diffusion profile can help to infer the local fibre directions. This paper provides an overview of past achievements of global tractography and proposes guidelines for a future research programme in the hope that the potential of the technique will increase the interest of the community.
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“Global tractography aims to find the full track (i.e., whole brain) configuration that most optimally fits the acquired data (Reisert et al. 2011; Mangin et al. 2013; Christiaens et al. 2015b).”
From Diffusion MRI-based cortical connectome reconstruction: dependency on tractography procedures and neuroanatomical characteristics (2018) · cites this paper as Mangin et al. 2013
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Metadata
- Authors
- Mangin, J.-F., Fillard, P., Cointepas, Y., Le Bihan, D., Frouin, V., & Poupon, C.
- Affiliations
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
- Corresponding author
- Mangin, J.-F.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 80
- Pages
- 290-296
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2138625648
- Cited by
- 121
- References
- 43
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 6 · 2023: 4 · 2022: 9 · 2021: 11 · 2020: 8 · 2019: 8 · 2018: 13 · 2017: 12 · 2016: 11 · 2015: 12 · 2014: 11 · 2013: 5
- FWCI
- 10.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- 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, ill-posed inverse problems, white matter tracts
- MeSH terms
- Animals, Brain, Humans, Image Interpretation, Computer-Assisted, Models, Anatomic, Models, Neurological, Nerve Fibers, Myelinated, Nerve Net, Diffusion Tensor Imaging, Connectome
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