Improved MUSSELS reconstruction for high-resolution multi-shot diffusion weighted imaging.

ABSTRACT:

Purpose

MUSSELS is a one-step iterative reconstruction method for multishot diffusion weighted (msDW) imaging. The current work presents an efficient implementation, termed IRLS MUSSELS, that enables faster reconstruction to enhance its utility for high-resolution diffusion MRI studies.

Methods

The recently proposed MUSSELS reconstruction belongs to a new class of parallel imaging-based methods that recover artifact-free DWIs from msDW data without needing phase compensation. The reconstruction is achieved via structured low-rank matrix completion algorithms, which are computationally demanding due to the large size of the Hankel matrices and their associated computations involving singular value decompositions. Because of this, computational demands of the MUSSELS reconstru

SUBMITTER: Mani M 

PROVIDER: S-EPMC8045517 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature