78 citations · 131 across the 4 of their papers we have counts for
4 papers
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…
Iterative Motion Compensation reconstruction ultra-short TE(iMoCo UTE) for high resolution free breathing pulmonary MRI
Xucheng Zhu, Marilynn Chan, Michael Lustig +2
Purpose, To develop a high scanning efficiency, motion corrected imaging strategy for free-breathing pulmonary MRI by combining a motion compensation reconstruction with a UTE acqu…
Extreme MRI: Large-Scale Volumetric Dynamic Imaging from Continuous Non-Gated Acquisitions
Frank Ong, Xucheng Zhu, Joseph Y. Cheng +4
Purpose: To develop a framework to reconstruct large-scale volumetric dynamic MRI from rapid continuous and non-gated acquisitions, with applications to pulmonary and dynamic contr…
Sparse and Optimal Acquisition Design for Diffusion MRI and Beyond
Cheng Guan Koay, Evren Özarslan, Kevin M Johnson +1
The focus of this paper is on the development of a sparse and optimal acquisition (SOA) design for diffusion MRI multiple-shell acquisition and beyond. A novel optimality criterion…