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The effect of patient, acquisition and reconstruction variables on myocardial wall thickness as measured from myocardial perfusion SPECT studies

机译:通过心肌灌注SPECT研究测得的患者,获取和重建变量对心肌壁厚度的影响

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In assessing the size and severity of myocardial perfusion defects, either a count threshold is applied to the images, or they are compared to a database of healthy hearts. This study aims to determine the dependence of these databases and thresholds on patient, acquisition and reconstruction variables, by measuring myocardial wall thickness. Analysis was performed on myocardial perfusion studies from 38 normal patients and a series of phantom experiments. The variables investigated included patient gender, test type, liver interference, myocardium to background activity ratio, acquisition zoom factor, matrix size and reconstruction type. When attenuation correction (AC) and detector resolution compensation (DRC) was applied during reconstruction, no significant difference was found in myocardial wall thickness between males and females, rest and stress studies, the presence and absence of liver interference, or clinically relevant myocardium to background activity ratios. A significant difference was found between standard and zoomed acquisitions, and between simple reconstruction techniques and those containing SPECT corrections. Results suggest that when AC and DRC are applied during reconstruction, patient variables do not influence quantitative accuracy and therefore analysis does not require individual databases or thresholds. As reconstruction methods improve in accuracy and in their ability to reconstruct large matrices, new databases and thresholds will be needed, bringing us closer to perfect absolute quantitative accuracy.
机译:在评估心肌灌注缺陷的大小和严重性时,可以将计数阈值应用于图像,或者将它们与健康心脏的数据库进行比较。本研究旨在通过测量心肌壁厚来确定这些数据库和阈值对患者,获取和重建变量的依赖性。对来自38位正常患者的心肌灌注研究和一系列幻像实验进行了分析。研究的变量包括患者性别,测试类型,肝脏干扰,心肌与背景活动比,采集缩放因子,矩阵大小和重建类型。在重建过程中应用衰减校正(AC)和检测器分辨率补偿(DRC)时,男女之间的心肌壁厚,休息和压力研究,是否存在肝干扰或临床相关的心肌均无显着差异。本底活动比率。发现在标准采集和缩放采集之间,简单的重构技术与包含SPECT校正的采集技术之间存在显着差异。结果表明,在重建过程中应用AC和DRC时,患者变量不会影响定量准确性,因此分析不需要单独的数据库或阈值。随着重构方法的准确性及其重构大型矩阵的能力的提高,将需要新的数据库和阈值,使我们更接近完美的绝对定量精度。

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