Detection of intracranial hemorrhage using ultralow-dose brain computed tomography with deep learning reconstruction versus conventional-dose computed tomography
Ultralow-dose CT with DLR is not inferior to conventional-dose CT in terms of image quality and diagnostic performance for the detection of intracranial hemorrhage, while achieving an approximate 87.7% reduction in radiation dose.
Authors
- Jae‐Kyun Ryu
- Chuluunbaatar Otgonbaatar (ORCID: https://orcid.org/0000-0002-8533-6165)
- Sang-Hyun Jeon (ORCID: https://orcid.org/0000-0003-4753-7174)
- Sung Min Ko (ORCID: https://orcid.org/0000-0002-7420-6269)
- Hackjoon Shim (ORCID: https://orcid.org/0000-0002-6731-0084)
- Jin Woo Kim (ORCID: https://orcid.org/0000-0003-3155-0569)
- Hyunjung Kim (ORCID: https://orcid.org/0000-0003-1814-0098)
- Sung-Jin Cha (ORCID: https://orcid.org/0009-0009-0088-1921)
- Pil-Hyun Jeon (ORCID: https://orcid.org/0000-0001-7505-903X)
Institutions
- Yonsei University (KR)
- Mongolian National University (MN)
- Mongolian National University of Medical Sciences (MN)
- Wonju Severance Christian Hospital (KR)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2025-11-24
- DOI
- https://doi.org/10.1186/s12880-025-02082-5
- Primary Topic
- Radiation Dose and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00