Accelerated Cine Cardiac MRI Using Deep Learning‐Based Reconstruction: A Systematic Evaluation

Background Breath‐holding (BH) for cine balanced steady state free precession (bSSFP) imaging is challenging for patients with impaired BH capacity. Deep learning‐based reconstruction (DLR) of undersampled k‐space promises to shorten BHs while preserving image quality and accuracy of ventricular ass...

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Veröffentlicht in:	Journal of magnetic resonance imaging 2024-08, Vol.60 (2), p.640-650
Hauptverfasser:	Pednekar, Amol, Kocaoglu, Murat, Wang, Hui, Tanimoto, Aki, Tkach, Jean A., Lang, Sean, Taylor, Michael D.
Format:	Artikel
Sprache:	eng
Schlagworte:	adaptive intelligence Adolescent Adult biventricular volume Breath Holding cardiac MRI Child cine imaging compressed SENSE Data acquisition Deep Learning Evaluation Female Field strength Heart Heart - diagnostic imaging Humans Image acquisition Image contrast Image Interpretation, Computer-Assisted - methods Image processing Image Processing, Computer-Assisted - methods Image quality Image reconstruction Magnetic resonance imaging Magnetic Resonance Imaging, Cine - methods Male Medical imaging Rank tests Reproducibility of Results Retrospective Studies Statistical analysis Statistical models Statistical tests Variance analysis Young Adult
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