ArticleMagnetic resonance in medicine2026
Toward Super-Resolution Reconstruction of Diffusion-Relaxation MRI Using Slice Excitation With Random Overlap (SERO).
Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeDiffusion MRI probes tissue microstructure, but low SNR and limited resolution hinder detection of features and parameter estimates. We introduce slice excitation with random overlap (SERO), which enables variable repetition times (TRs) and diffusion weighting within a single shot. This acquisition supports super-resolution reconstruction of baseline signal (
methodsWe implemented a diffusion-weighted spin-echo sequence in Pulseq that excites thick slices at random positions. Across shots, pseudo-random overlap produces inter- and intra-slice TR variation (0.15-21.9 s) with b-values up to 1.4 ms/μm
resultsIn simulations SERO improved accuracy of
conclusionRandom slice overlap enriches encoding diversity, improving accuracy and precision of diffusion and relaxation parameters without longer scan time. SERO offers a novel path to high-resolution microstructural imaging, especially at low SNR.
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