"双低"扫描协议的可行性研究与人工智能代重建算法相结合,用于肥胖患者的腹部计算机断层扫描增强
Mei-Tong Ji1, Ren-Ren Wang1, Qi Wang1
1Department of Radiology, Affiliated Hospital of Hebei University, Baoding City, Hebei Province, 071000, China.
"双低"扫描协议与人工智能代重建 (AIIR) 显著降低了腹部CT扫描的肥胖患者的辐射剂量和摄入量. AIIR 4级为增强腹部CT成像提供最佳图像质量.
科学领域:
- 放射学 放射学是一门学科.
- 医疗成像医学成像
- 计算机断层扫描 (CT) 是一种计算机断层扫描.
背景情况:
- 肥胖患者在腹部CT成像方面存在独特的挑战,原因是辐射衰减增加.
- 优化CT协议对于平衡图像质量,辐射剂量和对比剂的使用至关重要.
研究的目的:
- 评估使用人工智能代重建 (AIIR) 的"双低"扫描协议的有效性,用于肥胖个体的腹部CT增强.
- 为了确定最佳的AIIR算法水平,以实现卓越的图像质量,同时最大限度地减少辐射和暴露.
主要方法:
- 一项随机研究涉及150名肥胖患者 (BMI ≥30.00 kg/m2) 接受腹部CT增强.
- 组A使用了与卡尔3D代重建 (3-5级) 的常规协议.
- B组使用"双低"协议与AIIR (1-5级),记录辐射剂量,摄入量和图像质量.
主要成果:
- 对B组来说,AIIR 4级是最佳的,与A组的Karl 3D 5级相比,它产生了明显更好的主观和客观图像质量 (P < 0.001).
- B组在CT剂量指数,剂量长度产品,尺寸特定剂量估计和总摄入量 (P < 0.001) 中显著降低.
结论:
- 与AIIR的"双低"协议有效降低腹部CT期间肥胖患者的辐射剂量和消耗.
- 在这个人群中,AIIR 4级被确定为动脉和门静脉阶段的最佳重建水平.
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