MR fingerprinting Deep RecOnstruction NEtwork (DRONE)

Volume: 80, Issue: 3, Pages: 885 - 894
Published: Apr 6, 2018
Abstract
Purpose Demonstrate a novel fast method for reconstruction of multi‐dimensional MR fingerprinting (MRF) data using deep learning methods. Methods A neural network (NN) is defined using the TensorFlow framework and trained on simulated MRF data computed with the extended phase graph formalism. The NN reconstruction accuracy for noiseless and noisy data is compared to conventional MRF template matching as a function of training data size and is...
Paper Details
Title
MR fingerprinting Deep RecOnstruction NEtwork (DRONE)
Published Date
Apr 6, 2018
Volume
80
Issue
3
Pages
885 - 894
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