8 citations · 9 across the 3 of their papers we have counts for
Showing physics.med-phShow all
3 papers · 1 filter
physics.med-ph2022★ 1 cited
Motion Compensated Self Supervised Deep Learning for Highly Accelerated 3D Ultrashort Echo Time Pulmonary MRI
Zachary Miller, Kevin Johnson
Purpose: To investigate motion compensated, self-supervised, model based deep learning (MBDL) as a method to reconstruct free breathing, 3D Pulmonary ultrashort echo time (UTE) acq…
physics.med-ph2022★ 8 cited
Memory Efficient Model Based Deep Learning Reconstructions for High Spatial Resolution 3D Non-Cartesian Acquisitions
Zachary Miller, Ali Pirasteh, Kevin M. Johnson
Objective: Model based deep learning (MBDL) has been challenging to apply to the reconstruction of 3D non-Cartesian MRI acquisitions due to extreme GPU memory demand (>250 GB using…
physics.med-ph2022
Motion Compensated Extreme MRI: Multi-Scale Low Rank Reconstructions for Highly Accelerated 3D Dynamic Acquisitions (MoCo-MSLR)
Zachary Miller, Luis Torres, Sean Fain +1
Purpose: To improve upon Extreme MRI, a recently proposed method by Ong Et al. for reconstructing high spatiotemporal resolution, 3D non-Cartesian acquisitions by incorporating mot…