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利用运动校正重建算法优化高心率患者冠状动脉CT血管成像质量

韦家旭 施若洋 蔡振杰 顾雨伦 王誉 王嵇

分子影像学杂志2024,Vol.47Issue(12):1298-1302,5.
分子影像学杂志2024,Vol.47Issue(12):1298-1302,5.DOI:10.12122/j.issn.1674-4500.2024.12.04

利用运动校正重建算法优化高心率患者冠状动脉CT血管成像质量

Application of double-layer detector spectral CT motion correction reconstruction in patients with high heart rate

韦家旭 1施若洋 1蔡振杰 1顾雨伦 1王誉 2王嵇1

作者信息

  • 1. 上海交通大学医学院附属仁济医院放射科,上海 200127
  • 2. 飞利浦临床与技术支持部,上海 200072
  • 折叠

摘要

Abstract

Objective To explore the application value of double-layer detector spectral CT motion correction reconstruction algorithm(MCR)in patients with high heart rate.Methods 30 patients with heart rate≥80 b/min in Renji Hospital,Shanghai Jiao Tong University were retrospectively included,all patients with the inclusion criteria completed coronary artery CT angiography,compared the standard reconstruction(STD)optimal phase and MCR images,compared the CNR and SNR of the two groups,and evaluated the quality of coronary artery images using a 5-point method.Results There was a statistically significant difference between the two groups in CNR and SNR(P<0.05).the SD value of the aorta,CT value of the left anterior descending coronary artery,and CT value of the left circumflex coronary artery between STD and MCR were not statistically significant(P>0.05);but the CT value of the right coronary artery was 346.46±60.17 in STD and 363.54±54.40 in MCR(P<0.05).There was a statistically significant difference between STD and MCR in image noise and subjective scoring of coronary artery segments(P<0.05).Conclusion MCR algorithm can effectively reduce motion artifacts without additional scanning,improve image quality,and increase the success rate of coronary artery CT angiography.

关键词

双层探测器/冠状动脉CT血管成像/光谱CT/运动校正重建算法/高心率

Key words

dual-detector CT/coronary CT angiography/spectral CT/motion-correction reconstruction algorithm/high heart rate

引用本文复制引用

韦家旭,施若洋,蔡振杰,顾雨伦,王誉,王嵇..利用运动校正重建算法优化高心率患者冠状动脉CT血管成像质量[J].分子影像学杂志,2024,47(12):1298-1302,5.

基金项目

国家自然科学基金(82302174)Supported by National Natural Science Foundation of China(82302174) (82302174)

分子影像学杂志

OACSTPCD

1674-4500

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