CZT-based photon-counting-detector CT with deep-learning reconstruction: image quality and diagnostic confidence for lung tumor assessment
In PCD-CT, SHR<sub>DLR</sub> images provided the highest image quality and diagnostic confidence for lung tumor evaluation, followed by SHR<sub>AIDR3D</sub> and NR<sub>AIDR3D</sub> images. DLR demonstrated superior noise reduction compared to other reconstruction methods.
Authors
- H Furuya (ORCID: https://orcid.org/0009-0007-8879-945X)
- Keiju Aokage (ORCID: https://orcid.org/0000-0003-3193-9646)
- Keiichi Nomura (ORCID: https://orcid.org/0000-0002-9832-7524)
- Masashi Wakabayashi (ORCID: https://orcid.org/0009-0001-6368-5671)
- Tetsuro Taki (ORCID: https://orcid.org/0000-0001-8654-6896)
- Tomoaki Sasaki (ORCID: https://orcid.org/0000-0001-6811-2381)
- Joji Samejima (ORCID: https://orcid.org/0000-0002-9615-7883)
- Hirofumi Kuno
- Tatsushi Kobayashi (ORCID: https://orcid.org/0000-0002-7310-2097)
- Eisuke Goto
- Hiroki Taguchi
- Yoshihisa Muramatsu (ORCID: https://orcid.org/0000-0002-3485-9978)
Institutions
- Canon (Japan) (JP)
- National Cancer Center Hospital East (JP)
- Canon Medical Systems Corporation (Japan) (JP)
Publication Details
- Journal
- Japanese Journal of Radiology
- Published
- 2025-03-07
- DOI
- https://doi.org/10.1007/s11604-025-01759-9
- Citations
- 2
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- Canon Medical Systems Corporation
- Japan Society for the Promotion of Science