MP3: Medical Software for Processing Multi-Parametric Images Pipelines

This article presents an open source software able to convert, display and process medical images. It differentiates itself from the existing software by its ability to design complex processing pipelines and to wisely execute them on a large database. An MP3 pipeline can contain unlimited homemade...

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Vydané v:Frontiers in Neuroinformatics Ročník 14; s. 594799 - 10
Hlavní autori: Brossard, Clément, Montigon, Olivier, Boux, Fabien, Delphin, Aurélien, Christen, Thomas, Barbier, Emmanuel L., Lemasson, Benjamin
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Lausanne Frontiers Media SA 16.11.2020
Frontiers Research Foundation
Frontiers Media
Frontiers Media S.A
Predmet:
[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]
[INFO.INFO-IM]Computer Science [cs]/Medical Imaging
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging
[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]
Bioengineering
Bioinformatics
Computed tomography
Computer programs
Computer Science
CT
Datasets
Digital music
Image Processing
Imaging
Life Sciences
Magnetic resonance imaging
medical images
Medical Imaging
Metadata
MP3
MRI
Neurons and Cognition
Neuroscience
Neurosciences. Biological psychiatry. Neuropsychiatry
Open source software
pipelines
RC321-571
Software
User interface
image processing
MP3
CT
Medical Images
Pipelines
MRI
Database
Software
ISSN:1662-5196, 1662-5196
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Popis
Shrnutí:This article presents an open source software able to convert, display and process medical images. It differentiates itself from the existing software by its ability to design complex processing pipelines and to wisely execute them on a large database. An MP3 pipeline can contain unlimited homemade or ready-made processes and can be carried out with a parallel execution system. As a viewer, MP3 allows to display up to 4 images together and to draw Regions Of Interest (ROI). Two applications showing the strengths of the software are here exposed: a preclinical study involving Magnetic Resonance Imaging (MRI) data and a clinical one involving Computed Tomography (CT) images. MP3 is downloadable at https://github.com/nifm-gin/MP3.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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Edited by: Koichi Fujiwara, Nagoya University, Japan
Reviewed by: Michael McElwain, National Aeronautics and Space Administration, United States; Edwin Valentijn, University of Groningen, Netherlands
ISSN:1662-5196
1662-5196
DOI:10.3389/fninf.2020.594799