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首页> 外文期刊>Academic radiology >Scatter correction associated with dedicated dual-source ct hardware improves accuracy of lung air measures
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Scatter correction associated with dedicated dual-source ct hardware improves accuracy of lung air measures

机译：与专用双源ct硬件相关的散射校正可提高肺部空气测量的准确性

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Rationale and Objectives: Accurate assessment of air density used to quantitatively characterize amount and distribution of emphysema in chronic obstructive pulmonary disease (COPD) subjects has remained challenging. Hounsfield units (HU) within tracheal air can be considerably less negative than -1000 HU. This study has sought to characterize the effects of improved scatter correction used in dual-source pulmonary computed tomography (CT). Materials and Methods: Dual-source dual-energy (DSDE) and single-source (SS) scans taken at multiple energy levels and scan settings were acquired for quantitative comparison using anesthetized ovine ( n=6), swine ( n=13), and a lung phantom. Data were evaluated for thelung, inferior vena cava, and tracheal segments. To minimize the effect of cross-scatter, the phantom scans in the DSDE mode were obtained by reducing the current of one of the tubes to near zero. Results: A significant shift in mean HU values in the tracheal regions of animals and the phantom is observed, with values consistently closer to -1000 HU in DSDE mode. HU values associated with SS mode demonstrated a positive shift of up to 32 HU. Invivo tracheal air measurements demonstrated considerable variability with SS scanning, whereas these values were more consistent with DSDE imaging. Scatter effects in the lung parenchyma differed from adjacent tracheal measures. Conclusion: Data suggest that the scatter correction introduced into the dual-energy mode of imaging has served to provide more accurate CT lung density measures sought to quantitatively assess the presence and distribution of emphysema in COPD subjects. Data further suggest that CT images, acquired without adequate scatter correction, cannot be corrected by linear algorithms given the variability in tracheal air HU values and the independent scatter effects on lung parenchyma.
机译：原理和目的：准确评估空气密度以定量表征慢性阻塞性肺疾病（COPD）受试者气肿的数量和分布仍然是一项挑战。气管空气中的Hounsfield单位（HU）的负值可以大大小于-1000 HU。这项研究试图表征在双源肺部计算机断层扫描（CT）中使用的改进的散射校正的效果。材料和方法：采用多种能量水平和扫描设置获取双源双能（DSDE）和单源（SS）扫描，以使用麻醉绵羊（n = 6），猪（n = 13），和肺部幻影。评估了肺，下腔静脉和气管段的数据。为了使交叉散射的影响最小化，通过将其中一根电子管的电流减小到接近零来获得DSDE模式下的幻像扫描。结果：观察到动物和体模的气管区域中的平均HU值发生了显着变化，在DSDE模式下，其平均HU值始终接近-1000 HU。与SS模式相关的HU值显示出最多32 HU的正偏移。气管内空气测量结果显示，SS扫描存在很大差异，而这些值与DSDE成像更加一致。肺实质中的散布效应不同于相邻的气管措施。结论：数据表明，引入双能成像模式的散射校正可提供更准确的CT肺密度测量，以定量评估COPD受试者中肺气肿的存在和分布。数据进一步表明，鉴于气管空气HU值的变化以及对肺实质的独立散射影响，如果没有足够的散射校正就无法通过线性算法校正CT图像。

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