Article

Application of Deep Learning to Predict RF Heating of Cardiac Leads During Magnetic Resonance Imaging at 1.5 T and 3 T

2021-08-17

Abstract excerpt

<h4>Purpose: </h4> Predicting magnetic resonance imaging (MRI)-induced heating of elongated conductive implants such as leads in cardiovascular implantable electronic devices (CIEDs) is essential to assessing patient safety. Phantom experiments and electromagnetic simulations have been traditionally used to estimate radiofrequency (RF) heating of implants, but they are notably time-consuming. Recently, machine lea...

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Literature Corpus work: 6e162543-6bf4-50c8-a01f-483c3d68fe8d
DOI: 10.21203/rs.3.rs-701811/v1

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