CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions

Cardiac CINE magnetic resonance imaging is the gold-standard for the assessment of cardiac function. Imaging accelerations have shown to enable 3D CINE with left ventricular (LV) coverage in a single breath-hold. However, 3D imaging remains limited to anisotropic resolution and long reconstruction t...

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Bibliographic Details
Published in:Scientific reports 2020-08, Vol.10 (1), p.13710, Article 13710
Main Authors: Küstner, Thomas, Fuin, Niccolo, Hammernik, Kerstin, Bustin, Aurelien, Qi, Haikun, Hajhosseiny, Reza, Masci, Pier Giorgio, Neji, Radhouene, Rueckert, Daniel, Botnar, René M., Prieto, Claudia
Format: Article
Language:English
Subjects:
631/114/1305
631/114/1564
631/114/2397
631/114/2400
639/166/985
639/705/1042
692/4019
692/700/1421/1628
692/700/1421/2025
Adult
Breath Holding
Cardiovascular diseases
Cardiovascular Diseases - diagnosis
Case-Control Studies
Data processing
Deep Learning
Female
Gold
Heart
Humanities and Social Sciences
Humans
Image Interpretation, Computer-Assisted - methods
Imaging, Three-Dimensional
Magnetic resonance imaging
Magnetic Resonance Imaging, Cine - instrumentation
Magnetic Resonance Imaging, Cine - methods
Male
Middle Aged
multidisciplinary
Prospective Studies
Science
Science (multidisciplinary)
Spatio-Temporal Analysis
Ventricle
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