Self-supervised learning for improved calibrationless radial MRI with NLINV-Net.
Journal:
Magnetic resonance in medicine
PMID:
39080844
Abstract
PURPOSE: To develop a neural network architecture for improved calibrationless reconstruction of radial data when no ground truth is available for training.