General phase regularized reconstruction using phase cycling.

ABSTRACT:

Purpose

To develop a general phase regularized image reconstruction method, with applications to partial Fourier imaging, water-fat imaging and flow imaging.

Theory and methods

The problem of enforcing phase constraints in reconstruction was studied under a regularized inverse problem framework. A general phase regularized reconstruction algorithm was proposed to enable various joint reconstruction of partial Fourier imaging, water-fat imaging and flow imaging, along with parallel imaging (PI) and compressed sensing (CS). Since phase regularized reconstruction is inherently non-convex and sensitive to phase wraps in the initial solution, a reconstruction technique, named phase cycling, was proposed to render the overall algorithm invariant to phase wraps. The proposed method

SUBMITTER: Ong F 

PROVIDER: S-EPMC5876131 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature