心脏运动对冠状动脉评分的影响使用光子计数探测器CT上的虚拟非算法:动态幻影研究CT:动态幻影研究
Nicola Fink1,2, Emese Zsarnoczay1,3, U Joseph Schoepf4
1Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC, 29425, USA.
虚拟非 (VNI) CT成像显示,与虚拟非对比 (VNC) 方法相比,冠状动脉 (CAC) 评分准确性得到改善. 在不同心脏运动和衰减条件下,VNI表现出卓越的性能,特别是在Agatston分数下.
科学领域:
- 医疗成像医学成像
- 放射学 放射学是一门学科.
- 心血管成像 - 心血管成像
背景情况:
- 冠状动脉 (CAC) 评分对于心血管风险评估至关重要.
- 光子计数检测器CT (PCD-CT) 提供先进的成像功能.
- 评估运动和减弱对CAC评分的影响对于准确的风险分层至关重要.
研究的目的:
- 评估虚拟非 (VNI) 重建在PCD-CT上的CAC评分的性能.
- 为了将VNI与虚拟非对比 (VNC) 重建在模拟心脏运动和变化的血管衰减下进行比较.
- 为了确定心脏运动和衰减对CAC量化的影响,使用VNI.
主要方法:
- 在静态和动态 (60-100 bpm) 条件下扫描了两个具有化和不同衰减 (500,800 HU) 的人工容器.
- 图像使用VNC和VNI算法在70keV的量子代重建 (QIR) 强度重建.
- 质量,阿加斯顿分数和心脏运动易感性指数 (CMS) 与物理质量和静态分数进行了比较.
主要成果:
- 基于VNI的CAC得分显示,与VNC相比,心率增加的低估率较小.
- VNI的得分与静态条件下的物理质量和60 bpm的静态得分密切匹配.
- 基于VNI的Agatston分数与60和80bpm的静态分数相当,表现优于VNC.
- VNI得分显示,与物理参考值的偏差较小,特别是在500 HU的船内衰减时.
结论:
- 与VNC相比,PCD-CT上的虚拟非 (VNI) 重建为冠状动脉 (CAC) 评分提供了更好的准确性.
- 基于VNI的Agatston评分对来自心脏运动和血管内衰减的工件的敏感性较小.
- 在临床实践中,VNI代表了更可靠的CAC量化更有希望的进步.
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