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research article

BMAT: An open-source BIDS managing and analysis tool

Vanden Bulcke, Colin
•
Wynen, Maxence
•
Detobel, Jules
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January 1, 2022
Neuroimage-Clinical

Magnetic Resonance Imaging (MRI) is an established technique to study in vivo neurological disorders such as Multiple Sclerosis (MS). To avoid errors on MRI data organization and automated processing, a standard called Brain Imaging Data Structure (BIDS) has been recently proposed. The BIDS standard eases data sharing and processing within or between centers by providing guidelines for their description and organization. However, the transformation from the complex unstructured non-open file data formats coming directly from the MRI scanner to a correct BIDS structure can be cumbersome and time consuming. This hinders a wider adoption of the BIDS format across different study centers. To solve this problem and ease the day-to-day use of BIDS for the neuroimaging scientific community, we present the BIDS Managing and Analysis Tool (BMAT). The BMAT software is a complete and easy-to-use local open-source neuroimaging analysis tool with a graphical user interface (GUI) that uses the BIDS format to organize and process brain MRI data for MS imaging research studies. BMAT provides the possibility to translate data from MRI scanners to the BIDS structure, create and manage BIDS datasets as well as develop and run automated processing pipelines, and is faster than its competitor. BMAT software propose the possibility to download useful analysis apps, especially applied to MS research with lesion segmentation and processing of imaging contrasts for novel disease biomarkers such as the central vein sign and the paramagnetic rim lesions.

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Type
research article
DOI
10.1016/j.nicl.2022.103252
Web of Science ID

WOS:000892538000009

Author(s)
Vanden Bulcke, Colin
Wynen, Maxence
Detobel, Jules
La Rosa, Francesco  
Absinta, Martina
Dricot, Laurence
Macq, Benoit
Cuadra, Meritxell Bach  
Maggi, Pietro
Date Issued

2022-01-01

Publisher

ELSEVIER SCI LTD

Published in
Neuroimage-Clinical
Volume

36

Article Number

103252

Subjects

Neuroimaging

•

Neurosciences & Neurology

•

neuroimaging

•

software

•

bids

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multiple sclerosis

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mri

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central vein sign

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multiple-sclerosis

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dicom

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lesions

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LTS5  
Available on Infoscience
January 2, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/193588
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