Deep Learning-Based Synthetic TOF-MRA Generation Using Time-Resolved MRA in Fast Stroke Imaging [ARTIFICIAL INTELLIGENCE]

CONCLUSIONS: 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.
Source: American Journal of Neuroradiology - Category: Radiology Authors: Tags: ARTIFICIAL INTELLIGENCE Source Type: research