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Abstract #2514

Optimizing Compressed Sensing for quantitative Sodium MRI of the human brain

Yasmin Blunck1,2, Scott C. Kolbe2,3, Bradford A. Moffat2,3, Roger J. Ordidge2,3, Jon O. Cleary2,3, and Leigh A. Johnston1,2

1Biomedical Engineering, University of Melbourne, Parkville, Australia, 2Melbourne Brain Centre Imaging Unit, University of Melbourne, Parkville, Australia, 3Medicine & Radiology, University of Melbourne, Parkville, Australia

The clinical application of Sodium MRI is hampered due to relatively low image quality and associated long acquisition times (TA). Compressed Sensing (CS) aims at a reduction of TA, but has been found to encompass quantitative estimation bias when used in low SNR x-Nuclei imaging. This work analyses CS in human brain Sodium MRI from both angles, acquisition speed-up and quantification, and presents an optimized setup allowing an up to four-fold TA reduction with recommendations for quantitative assessments. The demonstrated global optima of CS weighting parameters and achievable reduction in TA greatly support the transition of Sodium MRI into clinical routine.

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