MP3: Medical Software for Processing Multi-Parametric Images Pipelines

Clément Brossard; Olivier Montigon; Fabien Boux; Aurélien Delphin; Thomas Christen; Emmanuel L Barbier; Benjamin Lemasson

doi:10.3389/fninf.2020.594799

MP3: Medical Software for Processing Multi-Parametric Images Pipelines

Front Neuroinform. 2020 Nov 16:14:594799. doi: 10.3389/fninf.2020.594799. eCollection 2020.

Authors

Clément Brossard^{1

2}, Olivier Montigon¹, Fabien Boux^{1

3}, Aurélien Delphin¹, Thomas Christen¹, Emmanuel L Barbier¹, Benjamin Lemasson^{1

2}

Affiliations

¹ University of Grenoble Alpes, INSERM, U1216, Grenoble Institut des Neurosciences (GIN), Grenoble, France.
² MoGlimaging Network, HTE Program of the French Cancer Plan, Toulouse, France.
³ University of Grenoble Alpes, Inria, CNRS, G-INP, Grenoble, France.

Abstract

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.

Keywords: CT; MRI; database; image processing; medical images; pipelines; software.