Deep learning reconstruction for cardiac magnetic resonance fingerprinting T₁ and T₂ mapping

Abstract

A neural network is introduced for reconstructing cMRF T₁ and T₂ maps directly from undersampled spiral images in under 400 ms and is robust to arbitrary cardiac rhythms, which paves the way for rapid online display of cMRF maps.