Deep learning reconstruction for improved image quality of ultra-high-resolution brain CT angiography: application in moyamoya disease
DLR-brain provided superior visualisation of small intracranial vessels compared with DLR-body and Hybrid-IR in UHR brain CTA.
Authors
- Sachi Okuchi (ORCID: https://orcid.org/0000-0002-0831-195X)
- Takayuki Yamamoto (ORCID: https://orcid.org/0000-0003-0306-3691)
- Yasuhiro Fukushima (ORCID: https://orcid.org/0000-0002-5134-2778)
- Sayo Otani (ORCID: https://orcid.org/0000-0002-3187-0207)
- Hideo Chihara (ORCID: https://orcid.org/0000-0001-8767-6617)
- Satoshi Nakajima (ORCID: https://orcid.org/0000-0001-5088-4017)
- Yuji Nakamoto (ORCID: https://orcid.org/0000-0001-5783-8048)
- Yoshiki Arakawa (ORCID: https://orcid.org/0000-0003-4626-4645)
- Yasutaka Fushimi (ORCID: https://orcid.org/0000-0002-1982-3168)
- Satoshi Kozawa (ORCID: https://orcid.org/0000-0002-6932-3639)
- Takeshi Funaki (ORCID: https://orcid.org/0000-0001-9489-7469)
- Ryo Sakamoto (ORCID: https://orcid.org/0000-0003-1382-8803)
- Yongping Ma
- Akira Matsuda (ORCID: https://orcid.org/0000-0002-7647-7484)
- Akihiko Sakata (ORCID: https://orcid.org/0000-0002-3647-7877)
- Miyuki Takiya
- Yohei Mineharu
Institutions
- Gunma University (JP)
- Kyoto University (JP)
- Kyoto University Hospital (JP)
Publication Details
- Journal
- Japanese Journal of Radiology
- Published
- 2025-05-29
- DOI
- https://doi.org/10.1007/s11604-025-01806-5
- Citations
- 2
- Primary Topic
- Cerebrovascular and Carotid Artery Diseases
- Type
- article
- Field-Weighted Citation Impact
- 3.04
Funders
- Forskningsrådet om Hälsa, Arbetsliv och Välfärd