Low rank alternating direction method of multipliers reconstruction for MR fingerprinting.

ABSTRACT:

Purpose

The proposed reconstruction framework addresses the reconstruction accuracy, noise propagation and computation time for magnetic resonance fingerprinting.

Methods

Based on a singular value decomposition of the signal evolution, magnetic resonance fingerprinting is formulated as a low rank (LR) inverse problem in which one image is reconstructed for each singular value under consideration. This LR approximation of the signal evolution reduces the computational burden by reducing the number of Fourier transformations. Also, the LR approximation improves the conditioning of the problem, which is further improved by extending the LR inverse problem to an augmented Lagrangian that is solved by the alternating direction method of multipliers. The root mean square error and

SUBMITTER: Asslander J 

PROVIDER: S-EPMC5585028 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature