SUPER: A blockwise curve-fitting method for accelerating MR parametric mapping with fast reconstruction.

ABSTRACT:

Purpose

To investigate Shift Undersampling improves Parametric mapping Efficiency and Resolution (SUPER), a novel blockwise curve-fitting method for accelerating parametric mapping with very fast reconstruction.

Methods

SUPER uses interleaved k-space undersampling, which enables a blockwise decomposition of the otherwise large-scale cost function to improve the reconstruction efficiency. SUPER can be readily combined with SENSE to achieve at least 4-fold acceleration. D-factor, a parametric-mapping counterpart of g-factor, was proposed and formulated to compare spatially heterogeneous noise amplification because of different acceleration methods. As a proof-of-concept, SUPER/SUPER-SENSE was validated using T₁ mapping, by comparing them to alternative model-based m

SUBMITTER: Hu C 

PROVIDER: S-EPMC6435434 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature