DeepSENSE: Learning coil sensitivity functions for SENSE reconstruction using deep learning.

Xi Peng Bradley P SuttonFan LamZhi-Pei Liang

Published in: Magnetic resonance in medicine (2021)

A deep learning-based method has been proposed for improving the estimation of coil sensitivity functions. Experimental results have demonstrated the feasibility and potential of the proposed method for improving SENSE-based reconstructions especially when the ACS data are limited.

Keyphrases

deep learning
artificial intelligence
convolutional neural network
acute coronary syndrome
machine learning
big data
electronic health record
human health
climate change