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Abstract #3013

Towards the Accurate and Precise Assessment of SNR in Vivo at 7T

Josef Habib1,2, Dorothee P. Auer1, Richard W. Bowtell2

1Academic Radiology, University of Nottingham, Nottingham, Nottinghamshire, United Kingdom; 2Sir Peter Mansfield Magnetic Resonance Centre, University of Nottingham, Nottingham, Nottinghamshire, United Kingdom

The Signal-to-Noise ratio (SNR) is a fundamental and critical data quality measure in MRI, with several investigations dedicated to devising and validating optimized measurement techniques. While the introduction of higher field strength MRI systems is expected to impact attainable SNR levels, this study shows that the prevalent technique for measuring SNR in vivo performs sub-optimally at 7 Tesla, due to artifacts presumably caused by the increased sensitivity to subject or physiological motion. Here we propose the use of an alternative measurement technique for increased robustness, after quantitatively evaluating its precision and accuracy.