Challenges in diffusion MRI tractography - Lessons learned from international benchmark competitions.
Accuracy
Algorithms
Challenges
Diffusion MRI
Tractography
Validation
Journal
Magnetic resonance imaging
ISSN: 1873-5894
Titre abrégé: Magn Reson Imaging
Pays: Netherlands
ID NLM: 8214883
Informations de publication
Date de publication:
04 2019
04 2019
Historique:
received:
08
10
2018
accepted:
17
11
2018
pubmed:
7
12
2018
medline:
25
6
2019
entrez:
4
12
2018
Statut:
ppublish
Résumé
Diffusion MRI (dMRI) fiber tractography has become a pillar of the neuroimaging community due to its ability to noninvasively map the structural connectivity of the brain. Despite widespread use in clinical and research domains, these methods suffer from several potential drawbacks or limitations. Thus, validating the accuracy and reproducibility of techniques is critical for sound scientific conclusions and effective clinical outcomes. Towards this end, a number of international benchmark competitions, or "challenges", has been organized by the diffusion MRI community in order to investigate the reliability of the tractography process by providing a platform to compare algorithms and results in a fair manner, and evaluate common and emerging algorithms in an effort to advance the state of the field. In this paper, we summarize the lessons from a decade of challenges in tractography, and give perspective on the past, present, and future "challenges" that the field of diffusion tractography faces.
Identifiants
pubmed: 30503948
pii: S0730-725X(18)30516-2
doi: 10.1016/j.mri.2018.11.014
pmc: PMC6331218
mid: NIHMS1516415
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S.
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
194-209Subventions
Organisme : NIBIB NIH HHS
ID : R01 EB017230
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS058639
Pays : United States
Organisme : NIBIB NIH HHS
ID : T32 EB001628
Pays : United States
Organisme : NICHD NIH HHS
ID : U54 HD083211
Pays : United States
Informations de copyright
Copyright © 2018 Elsevier Inc. All rights reserved.
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