CTRI/2024/03/064056尚未招募Unknown
Comparison of image quality between hybrid iterative reconstruction and deep learning image reconstruction for low-dose CT of the abdomen and pelvis among low B.M.I individuals - nil
试验速览
- 阶段
- Unknown
- 状态
- 尚未招募
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Observational
入排标准
入选标准
- •Patients who are of age above 18 years, referred for CECT abdomen.
- •Low Body Mass Index population (less than 18.5 kg/m²)
排除标准
- •Patients who come above 18.5 kg/m2 Body mass index Population.
- •Uncooperative patients.
- •Fatty, liver cirrhosis patients will be excluded
研究者
相似试验
尚未招募
Unknown
To analyse the image quality of CT cerebral angiography obtained using iterative reconstruction and AI based reconstruction algorithm.CTRI/2024/04/065650nil
尚未招募
Unknown
Evaluation of image quality between AI based image reconstruction vs Idose4CTRI/2023/07/055740nil
已完成
Unknown
CT image quality in CT coronary angiographyCTRI/2023/06/053678A88
招募中
不适用
se of Siemens prototype sequences for Magnetic Resonance Imaging in radiation oncologyCancerACTRN12621001232820South Western Sydney Local Health District250
已完成
不适用
Evaluation of the image quality and the quantitative accuracy of PET images obtained from the flexible PET deviceMalignant tumors except for early gastric cancer Epilepsy Cardiac sarcoidosisJPRN-UMIN000022196Kyoto University150
