Denoising of volumetric magnetic resonance imaging using multi-channel three-dimensional convolutional neural network with applications on fast spin echo acquisitions
A multi-channel 3D CNN is developed for denoising of multi-NEX 3D FSE MR images. The superior performance of the proposed multi-channel 3D CNN in denoising multi-NEX 3D MRI demonstrates its potential in tasks that require the extraction of high-dimensional features.
Authors
- Weitian Chen (ORCID: https://orcid.org/0000-0001-7242-9285)
- Shutian Zhao (ORCID: https://orcid.org/0000-0002-0956-2785)
- Ruokun Li (ORCID: https://orcid.org/0000-0003-0072-3105)
- James Francis Griffith (ORCID: https://orcid.org/0000-0001-5206-9382)
- Fan Xiao (ORCID: https://orcid.org/0000-0002-0467-0867)
Institutions
- Shanghai Jiao Tong University (CN)
- Pok Oi Hospital (HK)
- Ruijin Hospital (CN)
- University of Hong Kong (HK)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2024-08-12
- DOI
- https://doi.org/10.21037/qims-24-625
- Citations
- 5
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.02
Funders
- Innovation and Technology Commission