Abstract #4217

Estimation and Correction of Systematic Bias Inherent in Sparsely Undersampled Sodium Imaging of the Human Brain at High-Field

Yasmin Blunck¹, Sonal Josan², Brad A. Moffat³, Shawna Farquharson⁴, Roger J. Ordidge³, and Leigh A. Johnston¹

¹Electrical & Electronic Engineering, University of Melbourne, Melbourne, Australia, ²Siemens Healthcare, Melbourne, Australia, ³Anatomy & Neuroscience, University of Melbourne, Melbourne, Australia, ⁴Florey Institute of Neuroscience and Mental Health, Melbourne, Australia

Sodium plays a vital role in various physiological processes and functions due to the delicate balance between intra- and extracellular sodium concentration. Disturbance to this electrochemical gradient is considered to be a sensitive, early indicator of cell breakdown and provide an insight into cellular integrity. Iterative reconstruction of sparsely undersampled data has been shown to cause inaccuracies in the estimation of tissue sodium content. This work investigates the bias in sodium concentration estimates and presents a method for correction that recovers the quantitative property of sodium imaging for high undersampling factors.

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