Data-consistent non-Cartesian deep subspace learning for efficient dynamic MR image reconstruction

Z Chen, Y Chen, Y **e, D Li… - 2022 IEEE 19th …, 2022 - ieeexplore.ieee.org
Non-Cartesian sampling with subspace-constrained image reconstruction is a popular
approach to dynamic MRI, but slow iterative reconstruction limits its clinical application. Data …

[Књига][B] Accelerating Pediatric Magnetic Resonance Imaging Using Deep Learning-Based Image Reconstruction

CM Sandino - 2021 - search.proquest.com
Magnetic resonance imaging (MRI) is a powerful diagnostic tool for visualizing soft tissue
anatomy, but physical limits on data acquisition speed result in uncomfortably long MRI …

[Цитат][C] Deep Learning-based reconstruction in clinical MRI–How we do it in Tübingen

S Afat, S Ursprung, J Herrmann, A Brendlin, S Werner… - MAGNETOM Flash, 2024