Self‐supervised arbitrary‐scale super‐angular resolution diffusion MRI reconstruction
SARDI-nn is currently the only method that can reconstruct high-angular resolution DW images with any upscales, which allows the variation of both input diffusion direction number and upscales, therefore, it can be easily extended to any unseen test datasets, not requiring to retrain the model. SARDI-nn provides a promising means for exploring the tissue microstructures from DW images along few diffusion gradient directions.
Authors
- Hongjiang Wei
- Siqi Wang (ORCID: https://orcid.org/0009-0003-7985-6492)
- Lihui Wang (ORCID: https://orcid.org/0000-0003-1535-0671)
- Yuemin Zhu (ORCID: https://orcid.org/0000-0001-6814-1449)
- Ying Cao (ORCID: https://orcid.org/0000-0001-6465-1601)
- Zeyu Deng (ORCID: https://orcid.org/0000-0002-4990-441X)
- Rongpin Wang
- Chen Ye (ORCID: https://orcid.org/0000-0002-8332-6211)
Institutions
- Université Claude Bernard Lyon 1 (FR)
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Guizhou University (CN)
- Shanghai Jiao Tong University (CN)
- Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (FR)
- Guizhou Provincial People's Hospital (CN)
- Institut National des Sciences Appliquées de Lyon (FR)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-02-20
- DOI
- https://doi.org/10.1002/mp.17691
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Guizhou Science and Technology Department