TractoInferno - A large-scale, open-source, multi-site database for machine learning dMRI tractography.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
25 11 2022
25 11 2022
Historique:
received:
21
01
2022
accepted:
09
11
2022
entrez:
26
11
2022
pubmed:
27
11
2022
medline:
30
11
2022
Statut:
epublish
Résumé
TractoInferno is the world's largest open-source multi-site tractography database, including both research- and clinical-like human acquisitions, aimed specifically at machine learning tractography approaches and related ML algorithms. It provides 284 samples acquired from 3 T scanners across 6 different sites. Available data includes T1-weighted images, single-shell diffusion MRI (dMRI) acquisitions, spherical harmonics fitted to the dMRI signal, fiber ODFs, and reference streamlines for 30 delineated bundles generated using 4 tractography algorithms, as well as masks needed to run tractography algorithms. Manual quality control was additionally performed at multiple steps of the pipeline. We showcase TractoInferno by benchmarking the learn2track algorithm and 5 variations of the same recurrent neural network architecture. Creating the TractoInferno database required approximately 20,000 CPU-hours of processing power, 200 man-hours of manual QC, 3,000 GPU-hours of training baseline models, and 4 Tb of storage, to produce a final database of 350 Gb. By providing a standardized training dataset and evaluation protocol, TractoInferno is an excellent tool to address common issues in machine learning tractography.
Identifiants
pubmed: 36433966
doi: 10.1038/s41597-022-01833-1
pii: 10.1038/s41597-022-01833-1
pmc: PMC9700736
doi:
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
725Subventions
Organisme : Wellcome Trust
ID : 206270
Pays : United Kingdom
Informations de copyright
© 2022. The Author(s).
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