Reduction of radiation exposure in chest radiography using deep learning-based noise reduction processing: A phantom and retrospective clinical study
These results indicate that INR can contribute to the reduction of patient radiation dose during chest radiography. The widespread use of this technology may reduce dose indices, including diagnostic reference levels.
Authors
- Toru Negishi (ORCID: https://orcid.org/0000-0003-2134-2547)
- Ryuzo Sekiguchi
- Kazuya Mori (ORCID: https://orcid.org/0009-0000-7988-351X)
- Makoto SUZAKI
Institutions
- Noguchi Hospital (JP)
- Tokyo Metropolitan University (JP)
Publication Details
- Journal
- Radiography
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1016/j.radi.2025.102958
- Primary Topic
- Radiation Dose and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00