MRSaiFE: Real-time prediction of tissue heating in MRI

A crucial safety concern for ultra-high field (UHF) magnetic resonance imaging (MRI) is the significant radiofrequency (RF) power deposition in the body in the form of local specific absorption rate (SAR) hotspots, leading to dangerous tissue heating/damage. This work is a proof-of-concept demonstration of artificial intelligence (AI) based real-time MRI safety prediction software (MRSaiFE) facilitating safe generation of 3 tesla (T) and 7T images by means of accurate local SAR-monitoring at sub-W/kg levels. This feasibility study demonstrates that SAR patterns can be predicted with a root-mean-square error (RMSE) of <11% along with a structural similarity (SSIM) level of >84% for both field strengths.