Elizabeth Mary Tunnicliffe1,2, Martin John Graves1,3, Matthew D. Robson4
1Department of Medical Physics & Clinical Engineering, Addenbrooke's Hospital, Cambridge, United Kingdom; 2AVIC, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom; 3Department of Radiology, University of Cambridge, Cambridge, United Kingdom; 4OCMR, Department of Cardiovascular Medicine, University of Oxford, Oxford, United Kingdom
The simulated-multi-image SNR method allows SNR measurement when the usual multi-image method is impractical, for example in vivo. However, it is limited to linear reconstruction methods, which excludes the usual root-sum-of-squares reconstruction mechanism. Here, we show that by using simulated-multi-power images, this method can be extended to be used with root-sum-of-squares reconstructed images. The multi-power image method also has the advantage that it accounts for noise bias in the signal measurement at lower SNR, unlike the usual multi-image method.