A deep learning method for image-based subject-specific local SAR assessment.
Journal:
Magnetic resonance in medicine
Published Date:
Sep 4, 2019
Abstract
PURPOSE: Local specific absorption rate (SAR) cannot be measured and is usually evaluated by offline numerical simulations using generic body models that of course will differ from the patient's anatomy. An additional safety margin is needed to include this intersubject variability. In this work, we present a deep learning-based method for image-based subject-specific local SAR assessment. We propose to train a convolutional neural network to learn a "surrogate SAR model" to map the relation between subject-specific maps and the corresponding local SAR.