ECG-free 2D cardiac cine MRI with data-driven clustering

Le résumé fourni par la source

Conventional 2D cardiac cine imaging relies on ECG-gating whereas self-gated approaches mitigate ECG-dependency by assuming that cardiac motion is periodic with well-defined frequencies. This assumption breaks down when patients have irregular cardiac rhythm. We propose a segmented Cartesian golden step balanced steady-state free precession sequence (bSSFP) with motion navigators and a clustering algorithm to alleviate the dependency on regular motion assumptions and to emphasize the intrinsic similarity of mechanical motion. Compared to standard ECG-gated 2D bSSFP cine performed in normal sinus rhythm, initial validation using our approach achieved similar image quality and quantitative metrics for cardiac function.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.