Deep Learning-Based Synthetic TOF-MRA Generation Using Time-Resolved MRA in Fast Stroke Imaging.

Sung-Hye You Yongwon Cho Byungjun Kim Kyung Sook Yang In Seong Kim Bo Kyu Kim Arim Pak

Published in: AJNR. American journal of neuroradiology (2023)

A CycleGAN-based deep learning model was developed to generate synthetic TOF from time-resolved MRA. Synthetic TOF can potentially assist in the detection of large-vessel occlusion in stroke centers using time-resolved MRA.

Keyphrases

deep learning
contrast enhanced
mass spectrometry
ms ms
atrial fibrillation
high resolution
magnetic resonance imaging
artificial intelligence
convolutional neural network
magnetic resonance
computed tomography
cerebral ischemia
fluorescence imaging
subarachnoid hemorrhage
sensitive detection