Accelerating compressed sensing in parallel imaging reconstructions using an efficient circulant preconditioner for cartesian trajectories.

ABSTRACT:

Purpose

Design of a preconditioner for fast and efficient parallel imaging (PI) and compressed sensing (CS) reconstructions for Cartesian trajectories.

Theory

PI and CS reconstructions become time consuming when the problem size or the number of coils is large, due to the large linear system of equations that has to be solved in ℓ 1 and ℓ 2 -norm based reconstruction algorithms. Such linear systems can be solved efficiently using effective preconditioning techniques.

Methods

In t

SUBMITTER: Koolstra K 

PROVIDER: S-EPMC6283050 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature