Development of a Deep Learning Algorithm to Generate MR Angiography from 3D Quantitative Synthetic MR Imaging [Proceedings of the 2019 Young Investigator Award]

Purpose : Quantitative synthetic MRI enables simultaneous quantification of T1 and T2 relaxation times proton density, as well acquisition various contrast-weighted images1). However, MR angiography (MRA) scans could not be obtained using MRI. Thus, the present study aimed to develop a deep-learning algorithm for acquire MRA without additional scanning time.