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MP3

Medical software for Processing multi-Parametric images Pipelines

MP³ is an open source software aimed to support preclinical and clinical researchers for image processing studies. This Matlab toolbox offers a graphical interface that helps to process medical images. Here are the most important tools included in MP³ :

Import medical images (e.g. DICOM, NIFTI, Bruker, …) and convert them to nifti/json format
Visualize images (2D to 5D data)
Process (e.g. registration, model fit, filters, …)
Analyze (e.g. ROIs, scatterplots, …) medical images.

Standard processes from SPM or FSL can be called as well as custom fonctions. Complex postprocessing pipelines can be created and applied to mutiparametric (e.g. MRI T1w + MRI T2w,…), multidimensional (e.g. spatial +temporal+echoes,…) or multimodal (e.g. MRI +CT, …) data. Once defined in a single patient, these processes can be stored and applied to a larger database using parallel architectures. MP³ was initially created in the Grenoble Institute of Neurosciences (France) to process multiparametric MRI protocols (anatomy+relaxometry+perfusion) in cohorts of +500 animals.

SUMMARY Poster (ENGLISH) (FRENCH): poster presented at the 4th Congress of the SFRMBM (Strasbourg).

Requirements

In order to fully enjoy MP³, you have to meet the following requirements:

Matlab 2017b or higher
Toolboxes (Mandatory : Image Processing Toolbox -- Recommended : Statistics and Machine Learning Toolbox ; Parallel Computing Toolbox)
Java 8 or higher
Data to process in Bruker / DICOM / Philips / Nifti format

Download

You can download MP³ from our GIT repository. Then just add the downloaded file to your Matlab path and type MP3 in Matlab command window. The graphical interface of the Viewer will then be displayed.

Developers guide

In order to push your modifications to the community, please contact benjamin.lemasson@univ-grenoble-alpes.fr to get the developer status. Please create on your own branch from the dev one and then ask to merge it in the dev branch.