Deep learning denoising reconstruction for improved image quality in fetal cardiac cine MRI

PurposeThis study aims to evaluate deep learning (DL) denoising reconstructions for image quality improvement of Doppler ultrasound (DUS)-gated fetal cardiac MRI in congenital heart disease (CHD).MethodsTwenty-five fetuses with CHD (mean gestational age: 35 ± 1 weeks) underwent fetal cardiac MRI at...

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Auteurs principaux:	Thomas M. Vollbrecht, Christopher Hart, Shuo Zhang, Christoph Katemann, Alois M. Sprinkart, Alexander Isaak, Ulrike Attenberger, Claus C. Pieper, Daniel Kuetting, Annegret Geipel, Brigitte Strizek, Julian A. Luetkens
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2024-02-01
Collection:	Frontiers in Cardiovascular Medicine
Sujets:	fetal imaging Doppler ultrasound gating congenital heart disease deep learning denoising cardiac magnetic resonance imaging (CMR)
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/fcvm.2024.1323443/full
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