Chemical exchange saturation transfer (CEST) imaging with fast variably-accelerated sensitivity encoding (vSENSE).

Yi ZhangHye-Young HeoDong-Hoon LeeShanshan JiangXuna ZhaoPaul A BottomleyJinyuan Zhou

Published in: Magnetic resonance in medicine (2016)

The vSENSE method enabled twice the acceleration and generated more accurate images than conventional SENSE. Magn Reson Med 77:2225-2238, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Keyphrases

magnetic resonance
high resolution
deep learning
convolutional neural network
optical coherence tomography
contrast enhanced
machine learning
fluorescence imaging
electron transfer