一项通道化Hotelling观测器研究比较了锥束、扇形束和平行孔准直在/sup 99m/Tc-sestamibi心肌SPECT与异质幻象人群

K. Gilland, B. Tsui, G. Gullberg
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引用次数: 0

摘要

本研究比较了平行孔(PH)、扇束(FB)和锥束(CB)准直采集方法对心肌灌注99mTc-sestamibi心肌SPECT成像的影响。在心肌缺陷检测中,利用信道化Hotelling观测器(CHO)对5种单检测器采集方法(平行孔360度采集(PH360)、平行孔180度采集(PH180)、扇形波束360度采集(FB360)、扇形波束225度采集(FB225)、锥形波束360度采集(CB360))获取的模拟SPECT图像进行ROC曲线下面积(AUC)的计算。与之前比较PH、FB和CB的研究不同,本研究模拟了一群在解剖结构、缺陷和99mTc-sestamibi摄取方面存在差异的幻影,如在实际的心脏SPECT患者图像中所见。蒙特卡罗模拟生成低噪声投影数据。在添加泊松噪声之前,将数据缩放到相同的总扫描时间和临床计数水平。在不同的参数设置下,用衰减校正的迭代OSEM重建了它们。提取单个短轴(SA)切片,在各种截止频率下进行低通滤波,然后重新缩放为0-255范围内的整数像素值。对于每种采集方法,OSEM参数设置和滤波器截止,从720张图像中估计AUC。在最佳参数设置下,CB360法获得的AUC最高,其次是FB360、FB225、PH180和PH360。CB360法与其他方法的AUC差异有统计学意义(p<0.05)。
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A channelized Hotelling observer study comparing cone-beam, fan-beam and parallel-hole collimation in /sup 99m/Tc-sestamibi myocardial SPECT with a heterogeneous phantom population
This study compared parallel-hole (PH), fan-beam (FB) and cone-beam (CB) collimation acquisition methods for myocardial perfusion, 99mTc-sestamibi myocardial SPECT imaging. For the task of myocardial defect detection, the channelized Hotelling observer (CHO) was used to compute the area under the ROC curve (AUC) in simulated SPECT images acquired using one of the following 5 single-detector acquisition methods: parallel-hole with 360deg acquisition (PH360), parallel-hole with 180deg acquisition (PH180), fan-beam with 360deg acquisition (FB360), fan-beam with 225deg acquisition (FB225), or cone-beam with 360deg acquisition (CB360). Unlike previous studies comparing PH, FB and CB, this study simulated a population of phantoms with variations in anatomy, defects and 99mTc-sestamibi uptake, as seen in actual cardiac SPECT patient images. Monte Carlo simulations were used to generate low noise projection data. Data were scaled to the same total scan time and to clinical count levels before adding Poisson noise. They were reconstructed using iterative OSEM with attenuation correction at various parameter settings. A single short axis (SA) slice was extracted, low-pass filtered at various cutoff frequencies and then rescaled to integer pixel values ranging from 0-255. For each acquisition method, OSEM parameter setting and filter cutoff, the AUC was estimated from 720 images. At the optimum parameter settings, the CB360 method yielded the highest AUC, followed by FB360, FB225, PH180 and PH360. The difference in AUC between the CB360 method and the other methods was statistically significant (p<0.05)
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