Multi-shot sensitivity-encoded diffusion data recovery using structured low-rank matrix completion (MUSSELS).

ABSTRACT:

Purpose

To introduce a novel method for the recovery of multi-shot diffusion weighted (MS-DW) images from echo-planar imaging (EPI) acquisitions.

Methods

Current EPI-based MS-DW reconstruction methods rely on the explicit estimation of the motion-induced phase maps to recover artifact-free images. In the new formulation, the k-space data of the artifact-free DWI is recovered using a structured low-rank matrix completion scheme, which does not require explicit estimation of the phase maps. The structured matrix is obtained as the lifting of the multi-shot data. The smooth phase-modulations between shots manifest as null-space vectors of this matrix, which implies that the structured matrix is low-rank. The missing entries of the structured matrix are filled in using a nuclear

SUBMITTER: Mani M 

PROVIDER: S-EPMC5336529 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature