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首页> 外文期刊>Journal of nuclear cardiology: official publication of the American Society of Nuclear Cardiology >The high matrix acquisition technique for imaging of atherosclerotic plaque inflammation in fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography with time-of-flight: Phantom study
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The high matrix acquisition technique for imaging of atherosclerotic plaque inflammation in fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography with time-of-flight: Phantom study

机译:氟-18氟吲哚葡萄糖正电子发射断层扫描/计算机断层扫描中动脉粥样硬化斑块炎症成像的高矩阵采集技术与飞行时间:幻影研究

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Abstract Background Motion artifact and partial volume effect caused underestimation of coronary plaque inflammation. This study evaluated the high matrix acquisition technique using time-of-flight (TOF) positron emission tomography/computed tomography for imaging of atherosclerotic plaque inflammation with fluorine-18 fluorodeoxyglucose in small and moving phantoms. Methods and Results All images were reconstructed using a conventional algorithm without TOF (4?×?4?×?4?mm 3 voxel size) and a high matrix algorithm with TOF (2?×?2?×?2?mm 3 voxel size). Microsphere phantoms of 10, 7.9, 6.2, 5.0, and 4.0 mm diameters were acquired in 3-dimensional list-mode for 30 minutes. A heart phantom mimicking cardiac motion consisted of a hot spot simulating a plaque ( Φ 4 mm, Φ 2 mm) on the outside of the left ventricle. In the microsphere and heart phantom study, visual discrimination, maximum activity, and target-to-background ratio using the high matrix algorithm with TOF were better than those using the conventional algorithm without TOF. Conclusion The high matrix algorithm with TOF improves detection of small targets in phantoms.
机译:摘要背景行动伪影和部分体积效应引起的冠状动脉斑块炎症引起的。该研究评估了使用飞行时间(TOF)正电子发射断层扫描/计算断层扫描的高矩阵采集技术,用于用氟-18氟脱氧血糖在小且移动的模拟中成像。使用没有TOF的常规算法重建方法和结果所有图像(4?×4?4?4?mm 3体素尺寸)和高矩阵算法(2?×2?2?2?2?mm 3体素尺寸)。在3维列表模式下,在3维列表中获得10,7.9,6.2,5.0和4.0mm直径的微球谱系30分钟。模拟心脏运动的心脏幻影由模拟左心室外部的斑块(φ4mm,φ2mm)的热点组成。在微球和心脏幻影研究中,使用具有TOF的高矩阵算法的视觉辨别,最大活动和目标到背景比优于使用传统算法而没有TOF的算法。结论TOF的高矩阵算法改善了幽灵中小靶的检测。

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