Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction

While enabling accelerated acquisition and improved reconstruction accuracy, current deep MRI reconstruction networks are typically supervised, require fully sampled data, and are limited to Cartesian sampling patterns. These factors limit their practical adoption as fully-sampled MRI is prohibitive...

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Bibliographische Detailangaben

Hauptverfasser:	Zhou, Bo, Schlemper, Jo, Dey, Neel, Salehi, Seyed Sadegh Mohseni, Sheth, Kevin, Liu, Chi, Duncan, James S, Sofka, Michal
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning
Online-Zugang:	Volltext bestellen
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