Hankel Subspace Self-Supervised Learning for Parallel MRI Reconstruction
The Hankel Subspace Self-Supervised Reconstruction (HSSRecon), a scan-specific reconstruction framework for parallel magnetic resonance imaging, is proposed, which achieves competitive peak signal-to-noise ratio, structural similarity, and normalized mean squared error across six aggregated conditions.