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eess.IV2026
Scan-Adaptive Dynamic MRI Undersampling Using a Dictionary of Efficiently Learned Patterns
Siddhant Gautam, Angqi Li, Prachi P. Agarwal +4
Cardiac MRI is limited by long acquisition times, which can lead to patient discomfort and motion artifacts. We aim to accelerate Cartesian dynamic cardiac MRI by learning efficien…
eess.IV2025
Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO)
Siddhant Gautam, Angqi Li, Nicole Seiberlich +2
Accelerated MRI involves collecting partial -space measurements to reduce acquisition time, patient discomfort, and motion artifacts, and typically uses regular undersampling pa…
eess.IV2023
Patient-Adaptive and Learned MRI Data Undersampling Using Neighborhood Clustering
Siddhant Gautam, Angqi Li, Saiprasad Ravishankar
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 ba…