Automated reconstruction of dynamic 2D fetal cardiac MRI using deep learning in late third-trimester fetuses.
INTRODUCTION Fetal cardiovascular magnetic resonance (CMR) suffers from motion corruption and cardiac gating challenges. Data-driven motion correction and gating remain dependent on manual region-of-interest (ROI) selection, limiting clinical utility through resource demands, processing time, and inter-observer variabi...