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Abstract #4131

MRS4Brain Toolbox: an harmonized and accessible workflow for preclinical MRSI data processing

Guillaume Briand1,2, Brayan Alves1,2, Jessie Mosso1,2, Katarzyna Pierzchala1,2, Jamie Near3, Bernard Lanz1,2, and Cristina Cudalbu1,2
1CIBM Center for Biomedical imaging, Lausanne, Switzerland, 2Animal Imaging and Technology, Lausanne, Switzerland, 3Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada

Synopsis

Keywords: Software Tools, Software Tools, preclinical, MRSI, spectroscopy

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.

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