Coronary stent patency: Dual-energy multidetector CT assessment in a pilot study with anthropomorphic phantom
Coronary stent patency: Dual-energy multidetector CT assessment in a pilot study with anthropomorphic phantom
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DOI：
10.1148/radiol.2473070849
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发表时间：
2008-06-01
期刊：
影响因子：
19.7
通讯作者：
Fleiter, Thorsten R.
中科院分区：
文献类型：
--
作者：
Boll, Daniel T.;Merkle, Elmar M.;Fleiter, Thorsten R.
目的：通过优化图像采集和引入替代的图像后处理技术，前瞻性地评价双能量多层螺旋CT在显示冠状动脉支架内腔方面的应用。材料和方法：在断层双能量多层螺旋CT上，采用层叠的高、低能探测器阵列、0.67 mm的截面厚度和32×0.625 mm的准直，对4个冠状动脉支架(2、3、4和5 mm)进行检查。在80和140kVp以及400 mA下同时采集高能和低能数据集。在一个运动的拟人心脏模型中模拟心脏运动。支架是在体模静止和运动的情况下纵向和轴向成像的。提出了一种基于高能和低能吸收轮廓的增强算法。分别用对比噪声比(CNR)和峰度(Kappa)对支架管腔描述和支架网状结构描述进行量化。以峰值电压和数据增强算法为因变量，支架方位和心脏运动为独立因素，对图像质量进行单变量一般线性模型分析。结果：CNR和kappa与支架直径之间存在相互依赖关系：在轴面峰值电压较低的情况下，应用增强算法对80kVP数据集进行成像时，较小支架的CNR和kappa显著增加(P<；.001)。当支架在纵平面上以较高的峰值电压成像时，较大支架的CNR和Kappa显著增加，这些支架的成像受益于应用于140 kVP数据集的增强算法(P<；.001)。结论：采用优化的采集参数和可选的图像后处理进行双能量多层CT扫描，可以在一定程度上增强冠状动脉支架的管腔显示，超过单能量多层CT。(C)RSNA，2008年。
Purpose: To prospectively evaluate, by optimizing image acquisition and introducing alternative image postprocessing techniques, dual-energy multidetector computed tomography (CT) for depiction of the lumens of coronary artery stents placed in a moving anthropomorphic heart phantom.Materials and Methods: Four coronary stents (2, 3, 4, and 5 mm) were examined at 64-section dual-energy multidetector CT by using a dualdetector "double-decker" imager with stacked high- and low-energy detector arrays, 0.67-mm section thickness, and 32 x 0.625-mm collimation. Simultaneous high- and low-energy data sets were acquired at 80 and 140 kVp and at 400 mAs. Cardiac motion was simulated in a moving anthropomorphic heart phantom. Stents were imaged longitudinally and axially with the phantom at rest and with it in motion. Use of an enhancement algorithm based on high- and low-energy absorption profiles was proposed. Stent lumen depiction and stent mesh delineation were quantified in terms of contrast-to-noise ratio (CNR) and kurtosis (kappa), respectively. Image quality was analyzed at univariate general linear model analysis in which peak voltage and data enhancement algorithm were dependent factors and stent orientation and cardiac motion were independent factors.Results: Analysis of CNR and kappa revealed an interdependency between CNR and kappa and stent diameter: The CNR and kappa of smaller stents increased significantly when these stents were imaged at lower peak voltages in the axial plane and with the enhancement algorithm applied to the 80- kVp data sets (P < .001). The CNR and kappa of larger stents increased significantly when these stents were imaged at higher peak voltages in the longitudinal plane, and imaging of these stents benefited from the enhancement algorithm being applied to the 140-kVp data sets (P < .001).Conclusion: Dual-energy multidetector CT performed with optimized acquisition parameters and alternative image postprocessing led to enhanced coronary stent lumen depiction to an extent beyond that achieved with single-energy multidetector CT. (C) RSNA, 2008.