Extreme MRI: Large-scale volumetric dynamic imaging from continuous non-gated acquisitions.

ABSTRACT:

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 contrast-enhanced (DCE) imaging.

Theory and methods

The problem considered here requires recovering 100 gigabytes of dynamic volumetric image data from a few gigabytes of k-space data, acquired continuously over several minutes. This reconstruction is vastly under-determined, heavily stressing computing resources as well as memory management and storage. To overcome these challenges, we leverage intrinsic three-dimensional (3D) trajectories, such as 3D radial and 3D cones, with ordering that incoherently cover time and k-space over the entire acquisition. We then propose two innovations: (a) A compressed

SUBMITTER: Ong F 

PROVIDER: S-EPMC7973001 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature