Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Nov 16:14:594799.
doi: 10.3389/fninf.2020.594799. eCollection 2020.

MP3: Medical Software for Processing Multi-Parametric Images Pipelines

Clément Brossard  1   2 , Olivier Montigon  1 , Fabien Boux  1   3 , Aurélien Delphin  1 , Thomas Christen  1 , Emmanuel L Barbier  1 , Benjamin Lemasson  1   2
Affiliations

MP3: Medical Software for Processing Multi-Parametric Images Pipelines

Clément Brossard et al. Front Neuroinform. .

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.

PubMed Disclaimer

Figures

Figure 1
Figure 1
(A): Architecture overview and data flow, (B): Converter, (C): Viewer, (D): Pipeline Manager.
Figure 2
Figure 2
(A) Pipeline architecture. (B) Work flow editor.
Figure 3
Figure 3
Preclinical study: occurrences of a pipeline on a database.
Figure 4
Figure 4
(A) Processing pipeline applied on the images acquired at day 0, day 1, and day 3. (B) Input maps: CT-scans, and output maps: Entropy maps.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. Bellec P., Lavoie-Courchesne S., Dickinson P., Lerch J., Zijdenbos A., Evans A. C. (2012). The pipeline system for Octave and Matlab (PSOM): a lightweight scripting framework and execution engine for scientific workflows. Front. Neuroinform. 6:7. 10.3389/fninf.2012.00007 - DOI - PMC - PubMed
    1. Bouchet A., Potez M., Coquery N., Rome C., Lemasson B., Br?uer-Krisch E., et al. (2017). Permeability of brain tumor vessels induced by uniform or spatially microfractionated synchrotron radiation therapies. Int. J. Radiat. Oncol. 98, 1174–1182. 10.1016/j.ijrobp.2017.03.025 - DOI - PubMed
    1. Chou N., Wu J., Bai Bingren J., Qiu A., Chuang K.-H. (2011). Robust automatic rodent brain extraction using 3-D pulse-coupled neural networks (PCNN). IEEE Trans. Image Process 20, 2554–2564. 10.1109/TIP.2011.2126587 - DOI - PubMed
    1. Cox R., Ashburner J., Breman H., Fissell K., Haselgrove C., Holmes C., et al. (2004). A (Sort of) new image data format standard: NIfTI-1, Vol. 22, in 10th Annual Meeting of the Organization for Human Brain Mapping (Budapest: ).
    1. Dataset (2019). nifm-gin/Data_test_mp3. original-date: 2019-06-28T14:46:06Z.