Deep learning-based reconstruction of in vivo pelvis conductivity with a 3D patch-based convolutional neural network trained on simulated MR data.
Journal:
Magnetic resonance in medicine
Published Date:
Apr 21, 2020
Abstract
PURPOSE: To demonstrate that mapping pelvis conductivity at 3T with deep learning (DL) is feasible.