This approach improves isotropic resolution and reduces volume acquisition times in microstructure studies, suggesting enhanced imaging capabilities.
Motivation: The motivation for the current work arises from the limitations of 3D multi-slab diffusion-weighted imaging (3D-msDWI), particularly its inability to support advanced microstructure studies due to its long volume acquisition times (VAT). Goal(s): Develop a novel high SNR-efficiency signal generation and reconstruction framework based on 3D-msDWI that supports advanced microstructure studies at high spatial resolution. Approach: Substantial reduction in VAT is achieved by sub-sampling 3D k-space. An aliasing-free reconstruction is designed by incorporating deep-learned priors to recover the volume data. Results: The resulting framework is shown to generate 1mm isotropic 3-shell 66-direction data in 13min for the first time using 3D-msDWI acquisitions. Impact: Addressing the long VAT of 3D-msDWI can provide a new technique to generate high SNR data that supports advanced microstructure studies.
No takes yet. Share an insight, caveat, or question.
Lee et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: