Assessment of multi-modal magnetic resonance imaging for glioma based on a deep learning reconstruction approach with the denoising method
DLR of multi-modal MRI reconstruction prototype for glioma has demonstrated significant improvements in image quality. Moreover, it increased diagnostic efficiency and confidence of glioma.
Authors
- Jun Sun (ORCID: https://orcid.org/0000-0003-4346-6313)
- Zhizheng Zhuo (ORCID: https://orcid.org/0000-0002-6635-8705)
- Dabiao Zhou (ORCID: https://orcid.org/0000-0002-2683-2580)
- Jinli Ding (ORCID: https://orcid.org/0000-0001-6447-393X)
- Yaou Liu (ORCID: https://orcid.org/0000-0003-4352-5774)
- Siyao Xu (ORCID: https://orcid.org/0009-0002-4082-5894)
- Yiding Guo
Institutions
- Capital Medical University (CN)
- Beijing Tian Tan Hospital (CN)
- National Clinical Research Center for Digestive Diseases (CN)
Publication Details
- Journal
- Acta Radiologica
- Published
- 2024-09-02
- DOI
- https://doi.org/10.1177/02841851241273114
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- China Postdoctoral Science Foundation