Noise Reduction in Brain CT: A Comparative Study of Deep Learning and Hybrid Iterative Reconstruction Using Multiple Parameters
The degree of noise reduction using DLR depends on the slice thickness, tube current, and imaging object in addition to the level of DLR, which should be considered in the clinical use of DLR. DLR may be particularly beneficial for thin-slice imaging.
Authors
- Hiroyasu Itoh
- Yusuke Inoue (ORCID: https://orcid.org/0000-0001-7250-8303)
- Kohei Mitsui (ORCID: https://orcid.org/0000-0002-2954-3231)
- Shunichi Uehara
- Hirofumi Hata
- Hiroki Miyatake
- Chisaki Masuda
Institutions
- Kitasato University Hospital (JP)
- Kitasato University (JP)
Publication Details
- Journal
- Tomography
- Published
- 2024-12-18
- DOI
- https://doi.org/10.3390/tomography10120147
- Primary Topic
- Radiation Dose and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00