MRS4Brain Toolbox: an harmonized and accessible workflow for preclinical MRSI data processing
Motivation: Numerous software options exist for MRS processing, yet the preclinical domain lacks a harmonized multimodal toolbox featuring a graphical user interface (GUI). Goal(s): Our goal was to create a harmonized toolbox tailored to preclinical MRS processing, with a special focus on addressing MRSI-related challenges. Approach: The MRS4Brain Toolbox was designed to handle 1H and X nuclei data, and to allow brain segmentation of MRSI voxels in order to investigate brain regional differences. Results: Fast and user-friendly brain MRSI segmentation and metabolic mapping were achieved, promoting the study of brain-regional differences. Impact: The implementation of the open-source MRS4Brain Toolbox enables rapid and straightforward advanced preclinical MRS(I) data processing and quantification. It falls in line with the within- and across-site standardization effort launched by the MRS community.
Authors
- Jamie Near (ORCID: https://orcid.org/0000-0003-3516-936X)
- Bernard Lanz (ORCID: https://orcid.org/0000-0001-5136-075X)
- Katarzyna Pierzchała (ORCID: https://orcid.org/0000-0001-6550-8364)
- Guillaume Briand
- Jessie Mosso (ORCID: https://orcid.org/0000-0001-6318-9507)
- Cristina Cudalbu (ORCID: https://orcid.org/0000-0003-4582-2465)
- Brayan Alves
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/4131
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00