The impact of deep learning image reconstruction of spectral CTU virtual non contrast images for patients with renal stones
The DLIR-reconstructed VNC images in CTU provide better image quality than the ASIR-V reconstructed TNC images and similar quantification accuracy for kidney stones for potential dose savings.The study highlights that deep learning image reconstruction (DLIR)-reconstructed virtual non-contrast (VNC) images in spectral CT Urography (CTU) offer improved image quality compared to traditional true non-contrast (TNC) images, while maintaining similar accuracy in kidney stone detection, suggesting potential dose savings in clinical practice.
Authors
- Deyan Kong (ORCID: https://orcid.org/0000-0003-1223-0973)
- Jiale Qian (ORCID: https://orcid.org/0000-0002-3386-3369)
- Hong Zhu (ORCID: https://orcid.org/0000-0002-0940-8059)
- Xiaomeng Shi (ORCID: https://orcid.org/0000-0002-3788-1548)
- Jing Fan
Institutions
- Ruijin Hospital (CN)
- United Imaging Healthcare (China) (CN)
Publication Details
- Journal
- European Journal of Radiology Open
- Published
- 2024-08-31
- DOI
- https://doi.org/10.1016/j.ejro.2024.100599
- Citations
- 2
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.37