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BMAT: An open-source BIDS managing and analysis tool.
Vanden Bulcke, Colin; Wynen, Maxence; Detobel, Jules; La Rosa, Francesco; Absinta, Martina; Dricot, Laurence; Macq, Benoît; Bach Cuadra, Meritxell; Maggi, Pietro.
Afiliação
  • Vanden Bulcke C; ICTEAM Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium; Louvain Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium. Electronic address: colin.vandenbulcke@uclouvain.be.
  • Wynen M; ICTEAM Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium; Louvain Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium; CIBM Center for Biomedical Imaging, Lausanne, Switzerland; Radiology Department, Lausanne Univer
  • Detobel J; ICTEAM Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium; Louvain Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium.
  • La Rosa F; Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland; CIBM Center for Biomedical Imaging, Lausanne, Switzerland; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Absinta M; Institute of Experimental Neurology, Division of Neuroscience, Vita-Salute San Raffaele University and Hospital, Milan, Italy.
  • Dricot L; Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium.
  • Macq B; ICTEAM Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
  • Bach Cuadra M; CIBM Center for Biomedical Imaging, Lausanne, Switzerland; Radiology Department, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
  • Maggi P; Louvain Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium; Department of Neurology, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Department of Neurology, Lausanne University Hospital and Uni
Neuroimage Clin ; 36: 103252, 2022.
Article em En | MEDLINE | ID: mdl-36451357
ABSTRACT
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neuroimagem / Esclerose Múltipla Limite: Humans Idioma: En Revista: Neuroimage Clin Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neuroimagem / Esclerose Múltipla Limite: Humans Idioma: En Revista: Neuroimage Clin Ano de publicação: 2022 Tipo de documento: Article