Josef Habib1,2, Dorothee P. Auer1, Richard W. Bowtell2
1Academic Radiology, University of
Nottingham, Nottingham, Nottinghamshire, United Kingdom; 2Sir
Peter Mansfield Magnetic Resonance Centre,
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.