Deblurring for spiral real-time MRI using convolutional neural networks.

Yongwan Lim Yannick Bliesener Shrikanth S Narayanan Krishna Shrinivas Nayak

Published in: Magnetic resonance in medicine (2020)

Convolutional neural networks deblurring is a practical, efficient, and field map-free approach for the deblurring of spiral RT-MRI. In the context of speech production imaging, this can enable 1.7-fold improvement in scan efficiency and the use of spiral readouts at higher field strengths such as 3 T.

Keyphrases

convolutional neural network
deep learning
contrast enhanced
magnetic resonance imaging
computed tomography
diffusion weighted imaging
high resolution
magnetic resonance
machine learning
high density