Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International ConferenceMagnetic Resonance ImagingHumansImage ProcessingComputer-AssistedAlgorithms
Learned k-space Partitioning for Optimized Self-Supervised MRI Reconstruction.
Brenden Kadota, Charles Millard, Mark Chiew
Published: 202510.1109/EMBC58623.2025.11254582
Abstract
Self-supervised magnetic resonance imaging (MRI) reconstruction methods train deep learning networks without the need for fully sampled reference data. One such approach, self-supervised via data under-sampling (SSDU), partitions under-sampled k-spac…
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