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
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 50
- 试验地点
- 1
- 主要终点
- Signal-to-Noise Ratio (SNR), Contrast-to-Noise Ratio (CNR), and image noise
研究概览
简要总结
Informed consent and 50 participants will be taken for the study.
The patients age, height and weight will be measured, and their body mass index (BMI) will be calculated. The scan will be acquired using the standard protocol used for CECT abdomen and pelvis which is the standard of care for all low BMI patients and no additional costs will be borne by the patients. The acquired data will then undergo reconstruction using idose4 and precise imaging techniques. The quantitative assessment of image quality will be performed by calculating signal-to-noise ration (SNR), contrast-to-noise ratio (CNR), and image noise. data analysis will be performed, and outcome measures will be drawn.
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 18.00 Year(s) 至 90.00 Year(s)（—）
- 性别
- All
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.
结局指标
主要结局
Signal-to-Noise Ratio (SNR), Contrast-to-Noise Ratio (CNR), and image noise
时间窗: 16 months
次要结局
未报告次要终点
研究者
Abraham Jacob
Manipal college of health professions MAHE Manipal