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Abstract #2543

Frequency and Phase Drift Correction of Rosette MRSI Data using Spectral Registration

Sneha Vaishali Senthil1,2, Brenden Toshihide Kadota 2, and Jamie Near2,3
1Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada, 2Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada, 3Medical Biophysics Department, Sunnybrook Research Institute, Toronto, ON, Canada


MRSI is a non-invasive in-vivo technique for mapping tissue concentrations in clinical and neuro-scientific research. Although, in vivo MRSI has made progress with respect to spatial resolution, acquisition time and the number of detectable metabolites; frequency and phase drifts in the acquired data are still a persisting problem, resulting in SNR losses, broadening of spectral peaks and deformities in line spectra of metabolites. In this abstract, we show how rosette MRSI sampling trajectories offer the possibility to perform frequency and phase drift correction which is otherwise not possible to do in most other commonly used cartesian and non-cartesian sampling trajectories.

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