Deep Learning Reconstruction for Enhanced Resolution and Image Quality in Breath-Hold MRCP: A Preliminary Study
ER-DLR markedly increased the resolution, SNR, and CNR of breath-hold-MRCP compared to cases without ER-DLR.
Authors
- Yuichi Yamashita (ORCID: https://orcid.org/0000-0002-2779-8222)
- Yasuhito Tanaka (ORCID: https://orcid.org/0000-0002-2473-6966)
- Masafumi Kidoh (ORCID: https://orcid.org/0000-0002-9589-7054)
- Toshinori Hirai (ORCID: https://orcid.org/0000-0003-1480-2197)
- Hiroyuki Uetani (ORCID: https://orcid.org/0000-0002-0547-1210)
- Takeshi Nakaura (ORCID: https://orcid.org/0000-0002-9010-0341)
- Kaori Shiraishi
- Naofumi Yoshida (ORCID: https://orcid.org/0000-0003-3949-0089)
- Yasunori Nagayama (ORCID: https://orcid.org/0000-0003-3280-7346)
- Naoki Kobayashi (ORCID: https://orcid.org/0000-0002-0537-0604)
- Kensei Matsuo
- Kosuke Morita
- Masamichi Hokamura
- Hideo Baba
Institutions
- Canon (Japan) (JP)
- Kumamoto University Hospital (JP)
- Kumamoto Chuo Hospital (JP)
- Canon Medical Systems Corporation (Japan) (JP)
- Kumamoto University (JP)
Publication Details
- Journal
- Journal of Computer Assisted Tomography
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1097/rct.0000000000001680
- Citations
- 2
- Primary Topic
- Gallbladder and Bile Duct Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.84