Optimization of through-time radial GRAPPA with coil compression and weight sharing.

ABSTRACT:

Purpose

This work proposes principal component analysis (PCA) coil compression and weight sharing to reduce acquisition and reconstruction time of through-time radial GRAPPA.

Methods

Through-time radial GRAPPA enables ungated free-breathing motion-resolved cardiac imaging but requires a long calibration acquisition and GRAPPA weight calculation time. PCA coil compression reduces calibration data requirements and associated acquisition time, and weight sharing reduces the number of unique GRAPPA weight sets and associated weight computation time. In vivo cardiac data reconstructed with coil compression and weight sharing are compared to a gold standard to demonstrate improvement in calibration acquisition and reconstruction performance with minimal loss of image quality.

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SUBMITTER: Ahad J 

PROVIDER: S-EPMC9246858 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature