MP3: Medical Software for Processing Multi-Parametric Images Pipelines

Autor: Clément Brossard, Olivier Montigon, Fabien Boux, Aurélien Delphin, Thomas Christen, Emmanuel L. Barbier, Benjamin Lemasson
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Frontiers in Neuroinformatics, Vol 14 (2020)
Druh dokumentu: article
ISSN: 1662-5196
DOI: 10.3389/fninf.2020.594799
Popis: 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 databases. 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 display of up to four images together and to draw Regions Of Interest (ROI). Two applications showing the strengths of the software are presented as examples: 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.
Databáze: Directory of Open Access Journals