Cardiac compressed sensing real-time cine for the assessment of left ventricular function: a large sample size analysis.

ABSTRACT:

Background

Segmented cine imaging using a balanced steady-state free precession sequence is the gold standard for accurately quantifying cardiac function and myocardial mass. However, this method suffers from inefficient K-space sampling, resulting in long scan times, and requires multiple breath holds that can be difficult for some patients. Real-time compressed sensing (CS) cine reduces image acquisition time through K-space undersampling and iterative reconstruction, enabling rapid magnetic resonance (MR) imaging. Further large-scale studies need to be conducted to validate its effectiveness. In this study, we assessed image quality and left ventricular (LV) function during the routine clinical use of CS imaging in cardiovascular MR (CMR) to determine the feasibility of using CS

SUBMITTER: Wang Z 

PROVIDER: S-EPMC11652050 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature