Abstract #2859

FSL-MRS: A New MR Spectroscopy Fitting Tool

William T Clarke¹, Jamie Near², Uzay E Emir^3,4, and Saad Jbabdi¹

¹Wellcome Centre for Integrative Neuroimaging, NDCN, University of Oxford, Oxford, United Kingdom, ²Douglas Mental Health University Institute, and Department of Psychiatry, McGill University, Montreal, QC, Canada, ³School of Health Sciences, Purdue University, West Lafayette, IN, United States, ⁴Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States

FSL-MRS is a new Python-based MRS fitting tool. The model is based on a linear combination of basis spectra, and fitting is achieved with a sampling approach which gives full posterior distributions of fitted parameters. Results are stored both as text files and an interactive HTML report. On publication the tool will be open source and free as part of the FSL package. The tool will be developed to handle MRSI and model fMRS as time-series. Here we demonstrate an initial implementation in phantom data and three brain regions of 37 subjects and compare against another fitting software.

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