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Abstract #4831

End-to-end acquisition and analysis of whole-slice rosette MRSI for brain metabolic imaging at 3 Tesla

Lubna Burki1, Kaito Hara-Lee2, Sneha Senthil3, and Jamie Near4
1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Queens University, Kingston, ON, Canada, 3McGill University, Montreal, QC, Canada, 4Sunnybrook Research Institute, Toronto, ON, Canada

Synopsis

Keywords: Software Tools, Spectroscopy

Motivation: Magnetic resonance spectroscopic imaging (MRSI) has strong clinical potential, but also exhibits challenges making it difficult to translate in a clinical context.

Goal(s): We aim to develop an end-to-end pipeline with the goal of producing high-quality MRSI spectra in whole brain slices, while also minimizing scan time and work-flow disruptions.

Approach: We developed a spin-echo MRSI pulse sequence utilizing rapid rosette k-space trajectories to minimize scan time. Post-processing is achieved using the open-source software FID-A.

Results: The spin-echo rosette MRSI sequence, combined with dedicated pre-processing pipelines, produced high-quality MRSI spectra. Overall, this study is a step towards rapid MRSI in a clinical setting.

Impact: Magnetic resonance spectroscopic imaging (MRSI) is a powerful tool for quantifying biomarkers in vivo. However, clinical adoption of MRSI has been slow. We propose a complete and coherent pipeline for rapid MRSI acquisitions pre-processing to address this clinical need.

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Keywords