Sammba-MRI: A Library for Processing SmAll-MaMmal BrAin MRI Data in Python

Small-mammal neuroimaging offers incredible opportunities to investigate structural and functional aspects of the brain. Many tools have been developed in the last decade to analyse small animal data, but current softwares are less mature than the available tools that process human brain data. The P...

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Autores principales: Celestine, Marina, Nadkarni, Nachiket A., Garin, Clément M., Bougacha, Salma, Dhenain, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7270712/
https://www.ncbi.nlm.nih.gov/pubmed/32547380
http://dx.doi.org/10.3389/fninf.2020.00024
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author Celestine, Marina
Nadkarni, Nachiket A.
Garin, Clément M.
Bougacha, Salma
Dhenain, Marc
author_facet Celestine, Marina
Nadkarni, Nachiket A.
Garin, Clément M.
Bougacha, Salma
Dhenain, Marc
author_sort Celestine, Marina
collection PubMed
description Small-mammal neuroimaging offers incredible opportunities to investigate structural and functional aspects of the brain. Many tools have been developed in the last decade to analyse small animal data, but current softwares are less mature than the available tools that process human brain data. The Python package Sammba-MRI (SmAll-MaMmal BrAin MRI in Python; http://sammba-mri.github.io) allows flexible and efficient use of existing methods and enables fluent scriptable analysis workflows, from raw data conversion to multimodal processing.
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spelling pubmed-72707122020-06-15 Sammba-MRI: A Library for Processing SmAll-MaMmal BrAin MRI Data in Python Celestine, Marina Nadkarni, Nachiket A. Garin, Clément M. Bougacha, Salma Dhenain, Marc Front Neuroinform Neuroscience Small-mammal neuroimaging offers incredible opportunities to investigate structural and functional aspects of the brain. Many tools have been developed in the last decade to analyse small animal data, but current softwares are less mature than the available tools that process human brain data. The Python package Sammba-MRI (SmAll-MaMmal BrAin MRI in Python; http://sammba-mri.github.io) allows flexible and efficient use of existing methods and enables fluent scriptable analysis workflows, from raw data conversion to multimodal processing. Frontiers Media S.A. 2020-05-28 /pmc/articles/PMC7270712/ /pubmed/32547380 http://dx.doi.org/10.3389/fninf.2020.00024 Text en Copyright © 2020 Celestine, Nadkarni, Garin, Bougacha and Dhenain. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Celestine, Marina
Nadkarni, Nachiket A.
Garin, Clément M.
Bougacha, Salma
Dhenain, Marc
Sammba-MRI: A Library for Processing SmAll-MaMmal BrAin MRI Data in Python
title Sammba-MRI: A Library for Processing SmAll-MaMmal BrAin MRI Data in Python
title_full Sammba-MRI: A Library for Processing SmAll-MaMmal BrAin MRI Data in Python
title_fullStr Sammba-MRI: A Library for Processing SmAll-MaMmal BrAin MRI Data in Python
title_full_unstemmed Sammba-MRI: A Library for Processing SmAll-MaMmal BrAin MRI Data in Python
title_short Sammba-MRI: A Library for Processing SmAll-MaMmal BrAin MRI Data in Python
title_sort sammba-mri: a library for processing small-mammal brain mri data in python
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7270712/
https://www.ncbi.nlm.nih.gov/pubmed/32547380
http://dx.doi.org/10.3389/fninf.2020.00024
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