Enhancement of Image Quality in Low-Field Knee MR Imaging Using Deep Learning
DL techniques effectively enhance the image quality of low-field knee MR images by leveraging 3T MR imaging data. This enhancement significantly improves image quality and diagnostic confidence levels, making low-field MR images much more reliable for detecting abnormalities. This advancement offers a useful alternative for clinical settings, especially in resource-limited environments, without compromising diagnostic accuracy.
Authors
- Ryosuke Sakai (ORCID: https://orcid.org/0000-0002-2396-0747)
- Akihiko Wada (ORCID: https://orcid.org/0000-0003-3432-0267)
- Tsutomu Inaoka (ORCID: https://orcid.org/0000-0002-5251-077X)
- Masayuki Sugeta (ORCID: https://orcid.org/0000-0002-6722-2260)
- Hitoshi Terada
- Hisanori Tomobe
- Koichi Nakagawa (ORCID: https://orcid.org/0000-0001-7859-4310)
- Shigeki Aoki
- Masaru Sonoda
- Hiroyuki Nakazawa
Institutions
- Toho University (JP)
- Juntendo University (JP)
- Toho University Medical Center Sakura Hospital (JP)
- Seirei Sakura Citizen Hospital (JP)
Publication Details
- Journal
- Cureus
- Published
- 2024-10-11
- DOI
- https://doi.org/10.7759/cureus.71277
- Citations
- 1
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Japan Society for the Promotion of Science