Value of Low Tube Voltage Combined with Deep Learning Image Reconstruction Algorithm to Reduce Radiation Dose in Combined Thoracoabdominal Enhanced CT
Objective: To investigate the effect of low tube voltage combined with deep learning image reconstruction (DLIR) on radiation dose reduction and maintaining image quality in combined chest and abdominal enhanced CT scans. Methods: (1) Phantom study. To determine the feasibility of combining low tube...
Saved in:
| Main Authors: | Weiwei QI, Jin CHENG, Chuhan CHEN, Bei AN, Xiaoyi LIU, Ling FU, Yi WANG |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Editorial Office of Computerized Tomography Theory and Application
2025-05-01
|
| Series: | CT Lilun yu yingyong yanjiu |
| Subjects: | |
| Online Access: | https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2025.001 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparison of dose length product and image quality of a biphasic whole-body polytrauma CT protocol with and without the automatic tube voltage selection
by: David Girsa, et al.
Published: (2024-11-01) -
Evaluation of trabecular bone microstructure and cortical morphology using cone-beam and micro-CT images: impact of tube voltage setting
by: Oğuzhan Baydar, et al.
Published: (2025-04-01) -
Achieving low radiation dose and contrast agents dose in coronary CT angiography at 60-kVp ultra-low tube voltage
by: Weiling He, et al.
Published: (2025-03-01) -
Reduced-dose deep learning iterative reconstruction for abdominal computed tomography with low tube voltage and tube current
by: Shumeng Zhu, et al.
Published: (2024-12-01) -
Study on the Radiation Dose Distribution of Abdominal CT Scans Based on Dose Simulation Humans
by: Xiaolong NI, et al.
Published: (2024-11-01)