Multiscale reconstruction for MR fingerprinting.

ABSTRACT:

Purpose

To reduce the acquisition time needed to obtain reliable parametric maps with Magnetic Resonance Fingerprinting.

Methods

An iterative-denoising algorithm is initialized by reconstructing the MRF image series at low image resolution. For subsequent iterations, the method enforces pixel-wise fidelity to the best-matching dictionary template then enforces fidelity to the acquired data at slightly higher spatial resolution. After convergence, parametric maps with desirable spatial resolution are obtained through template matching of the final image series. The proposed method was evaluated on phantom and in vivo data using the highly undersampled, variable-density spiral trajectory and compared with the original MRF method. The benefits of additional sparsity constraints

SUBMITTER: Pierre EY 

PROVIDER: S-EPMC4696924 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature