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Updated: Apr 9, 2026
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MRS4Brain: a software for preclinical proton and deuterium-based MR spectroscopic imaging data
Brayan Alves1,2,3, Tan Toi Phan4,5,6, Guillaume Briand1,2,3
1CIBM Center for Biomedical Imaging, Lausanne, Switzerland.
Magma (New York, N.Y.)
|April 8, 2026
Summary
The MRS4Brain Toolbox simplifies preclinical magnetic resonance spectroscopic imaging (MRSI) data analysis. This accessible platform enhances reproducibility and broadens the use of advanced spectroscopic techniques in metabolic research.
Area of Science:
- Neuroscience
- Metabolic Imaging
- Biophysics
Background:
- Magnetic resonance spectroscopic imaging (MRSI) offers spatial metabolite mapping beyond single-voxel spectroscopy (SVS).
- Complex MRSI data processing limits reproducibility and accessibility, especially in preclinical research.
- Deuterium-based MRSI and kinetic analysis increase data complexity.
Purpose of the Study:
- To develop a user-friendly platform for preclinical MRSI data analysis.
- To address the need for accessible and reproducible processing tools in preclinical metabolic research.
- To support advanced spectroscopic techniques, including deuterium-based MRSI.
Main Methods:
- Introduction of the freely available MATLAB-based MRS4Brain Toolbox.
- Support for multiple nuclei (proton, deuterium) and techniques (MRSI, SVS, diffusion-weighted spectroscopy).
- Integration of reconstruction, preprocessing, quantification, quality control, segmentation, modeling, and statistical analysis within a graphical interface.
Main Results:
- The toolbox provides unified workflows for comprehensive MRSI data processing.
- Automated brain segmentation is overlaid on metabolite maps for enhanced visualization.
- The graphical interface simplifies complex analysis pipelines.
Conclusions:
- MRS4Brain Toolbox streamlines preclinical MRSI data processing, reducing technical barriers.
- The platform promotes harmonization and broader adoption of spectroscopic techniques.
- Facilitates translational metabolic research by enhancing reproducibility and accessibility.
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