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Abstract #8016

Postprocessing & Quality Assurance

Jamie Near1

1McGill University, Montreal, QC, Canada

In-vivo MRS data is unavoidably degraded by experimental imperfections such as subject motion, scanner drift, and eddy currents. Spectral preprocessing improves spectral quality and quantification reliability, and is an indispensable part of any in-vivo MRS experiment. MRS preprocessing is usually organized as a sequence, or ‘pipeline’ of individual processing routines, each designed to address a specific issue with the data. This talk covers some of the most common experimental issues affecting MRS data, and the processing routines and pipelines that can address these issues.

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