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Dataset Information

Clinical utility of a rapid two-dimensional balanced steady-state free precession sequence with deep learning reconstruction.


ABSTRACT:

Background

Cardiovascular magnetic resonance (CMR) cine imaging is still limited by long acquisition times. This study evaluated the clinical utility of an accelerated two-dimensional (2D) cine sequence with deep learning reconstruction (Sonic DL) to decrease acquisition time without compromising quantitative volumetry or image quality.

Methods

A sub-study using 16 participants was performed using Sonic DL at two different acceleration factors (8× and 12×). Quantitative left-ventricular volumetry, function, and mass measurements were compared between the two acceleration factors against a standard cine method. Following this sub-study, 108 participants were prospectively recruited and imaged using a standard cine method and the Sonic DL method with the acceleration factor th

SUBMITTER: Eyre K 

PROVIDER: S-EPMC11367510 | biostudies-literature | 2024 Winter

REPOSITORIES: biostudies-literature