Small Animal Shanoir (SAS) A Cloud-Based Solution for Managing Preclinical MR Brain Imaging Studies.
MRI
data sharing
image processing
open science
population imaging
Journal
Frontiers in neuroinformatics
ISSN: 1662-5196
Titre abrégé: Front Neuroinform
Pays: Switzerland
ID NLM: 101477957
Informations de publication
Date de publication:
2020
2020
Historique:
received:
14
06
2019
accepted:
16
04
2020
entrez:
9
6
2020
pubmed:
9
6
2020
medline:
9
6
2020
Statut:
epublish
Résumé
Clinical multicenter imaging studies are frequent and rely on a wide range of existing tools for sharing data and processing pipelines. This is not the case for preclinical (small animal) studies. Animal population imaging is still in infancy, especially because a complete standardization and control of initial conditions in animal models across labs is still difficult and few studies aim at standardization of acquisition and post-processing techniques. Clearly, there is a need of appropriate tools for the management and sharing of data, post-processing and analysis methods dedicated to small animal imaging. Solutions developed for Human imaging studies cannot be directly applied to this specific domain. In this paper, we present the Small Animal Shanoir (SAS) solution for supporting animal population imaging using tools compatible with open data. The integration of automated workflow tools ensures accessibility and reproducibility of research outputs. By sharing data and imaging processing tools, hosted by SAS, we promote data preparation and tools for reproducibility and reuse, and participation in multicenter or replication "
Identifiants
pubmed: 32508612
doi: 10.3389/fninf.2020.00020
pmc: PMC7248267
doi:
Types de publication
Journal Article
Langues
eng
Pagination
20Informations de copyright
Copyright © 2020 Kain, Bodin, Loury, Chi, Louis, Simon, Lamy, Barillot and Dojat.
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