Assessment of cardiac function using free-breathing, motion corrected artificial intelligence cine: comparison with conventional cine

Routine cardiac functional assessment with conventional balanced steady state free precession (bSSFP) cine sequence generally requires multiple breath-holding (BH) and long examination time. The purpose of this study was to evaluate the image quality and bi-ventricular functional analysis using a novel free-breathing (FB) artificial intelligence (AI) cine method with motion corrected (MOCO) in a clinical context. Compared to conventional multiple BHs cine, the proposed FB-MOCO AI cine method achieved comparable image quality with shortened scan times. No significant difference in ventricular volumetric and functional parameters were found, suggesting its potential applicability for clinical applications.