Unknown

Dataset Information

Accelerated Cartesian cardiac T2 mapping based on a calibrationless locally low-rank tensor constraint.


ABSTRACT:

Background

Cardiac T2 mapping is a valuable tool for diagnosing myocardial edema, inflammation, and infiltration, yet its spatial resolution is limited by the single-shot balanced steady-state free precession acquisition and duration of the cardiac quiescent period, which may reduce sensitivity in detecting focal lesions in the myocardium. To improve spatial resolution without extending the acquisition window, this study examined a novel accelerated Cartesian cardiac T2 mapping technique.

Methods

We introduce a novel improved-resolution cardiac T2 mapping approach leveraging a calibrationless space-contrast-coil locally low-rank tensor (SCC-LLRT)-constrained reconstruction algorithm in conjunction with Cartesian undersampling trajectory. The method was validated with phantom

SUBMITTER: Gao J 

PROVIDER: S-EPMC11485370 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature