2024
Patient-Adaptive and Learned Mri Data Undersampling Using Neighborhood Clustering
ICASSP 2024accepted
There has been much recent interest in adapting undersampled trajectories in MRI based on training data. In this work, we propose a novel patient-adaptive MRI sampling algorithm based on grouping scans within a training set. Scan-adaptive sampling patterns are optimized together with an image recons…