MRSaiFE: Real-time prediction of tissue heating in MRI

Active Research Project
Investigator(s): 
Simone Angela Winkler, Ph.D.
Related Institute: 
Last Updated: 
June 14, 2022

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.

Real time prediction of MRI tissue heating.

Real time prediction of MRI tissue heating

Weill Cornell Medicine
Department of Radiology
525 East 68th Street New York, NY 10065