Accelerated MR parameter mapping with low-rank and sparsity constraints.

ABSTRACT:

Purpose

To enable accurate magnetic resonance (MR) parameter mapping with accelerated data acquisition, utilizing recent advances in constrained imaging with sparse sampling.

Theory and methods

A new constrained reconstruction method based on low-rank and sparsity constraints is proposed to accelerate MR parameter mapping. More specifically, the proposed method simultaneously imposes low-rank and joint sparse structures on contrast-weighted image sequences within a unified mathematical formulation. With a pre-estimated subspace, this formulation results in a convex optimization problem, which is solved using an efficient numerical algorithm based on the alternating direction method of multipliers.

Results

To evaluate the performance of the proposed method, two applica

SUBMITTER: Zhao B 

PROVIDER: S-EPMC4344441 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature