Offline Reconstruction of Diffusion <scp>MRI</scp> Acquisitions for Comparison Between Complex <scp>PCA</scp> ‐Based and <scp>AI</scp> ‐Based Denoising
We found significant gains in dMRI data quality when using the proposed offline reconstruction pipeline, allowing complex-domain denoising to obtain high-quality data at high spatial resolution and b-value, using a wide-bore scanner and a standard PGSE EPI sequence. MPPCA<sub>SVS</sub> and NORDIC (4D PCA-based) outperformed ARDL (2D) in terms of spatial resolution and reduction of noise variance.
Authors
- Shaun Warrington (ORCID: https://orcid.org/0000-0002-7198-8162)
- Stamatios N. Sotiropoulos (ORCID: https://orcid.org/0000-0003-4735-5776)
- Paul S. Morgan (ORCID: https://orcid.org/0000-0002-5870-1446)
- Francesco D'Antonio (ORCID: https://orcid.org/0000-0002-5178-3354)
- Jose‐Pedro Manzano‐Patron
Institutions
- University of Nottingham (GB)
- Institute of Mental Health (GB)
- Nottingham Biomedical Research Centre (GB)
Publication Details
- Journal
- Magnetic Resonance in Medicine
- Published
- 2026-03-07
- DOI
- https://doi.org/10.1002/mrm.70336
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00