SUNO learns per-scan adaptive k-space undersampling patterns via ICD optimization and NN lookup from low-frequency data, showing better reconstruction quality than standard patterns at 4x and 8x acceleration on fastMRI knee and brain data.
Alternating learning approach for variational networks and undersampling pattern in parallel MRI applications,
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Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO)
SUNO learns per-scan adaptive k-space undersampling patterns via ICD optimization and NN lookup from low-frequency data, showing better reconstruction quality than standard patterns at 4x and 8x acceleration on fastMRI knee and brain data.