Processing of muscle quantitative MRI data.


If you used it, please cite us

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QMRITools is a collection of tools and functions for processing quantitative MRI data. The toolbox is developed for the Wolfram language and runs in the latest version of Wolfram Mathematica. The toolbox does not provide a GUI and its primary goal is to allow for fast batch data processing, and facilitate development and prototyping of new functions. The core of the toolbox contains various functions for data manipulation and restructuring.

applications of QMRITools

The toolbox was developed mostly in the context of quantitative muscle (Froeling et al. 2012), nerve and cardiac magnetic resonance imaging. The library of functions grows along with the research it is used for and started as a toolbox to analyze DWI data of muscle. Since then it has grown to include many other features such as cardiac analysis (tagging and T1 mapping), dixon reconstruction, EPG modeling and fitting, j-coupling simulations and more. It currently contains over 450 custom functions (over 30.000 lines of code) complete with more than 750 documentation pages and demonstrations for each toolbox.

Quantitative muscle MRI processing and analysis

Awards and media

During the 2023 ISMRM in Toronto QMRITools was awarded received the “Best Open Source Tool Award” from the Quantitative MRI study group.

If you want to learn more about the workings of QMRITools you can watch a live discussion with the Wolfram academic outreach team about QMRITools and the role of computational Wolfram technology. A more in depth explanation of the paclet functionality was presented to the Wolfram R&D Team.


When using the toolbox please cite one of the following references:

  1. Froeling M: QMRTools: a Mathematica toolbox for quantitative MRI analysis. J Open Source Softw 2019; 4:1204. link
  2. Froeling M, et al.: Reproducibility of diffusion tensor imaging in human forearm muscles at 3.0 T in a clinical setting. Magn Reson Med 2010; 64:1182-1190. link
  3. Froeling M, et al.: Diffusion-tensor MRI reveals the complex muscle architecture of the human forearm. J Magn Reson Imaging 2012; 36:237-248. link
  4. Schlaffke L, et al.: Multi‐center evaluation of stability and reproducibility of quantitative MRI measures in healthy calf muscles. NMR Biomed. 2019;32:e4119 link

applications of QMRITools