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Optimization of iterative reconstruction parameters with attenuation correction, scatter correction and resolution recovery in myocardial perfusion SPECT/CT

机译:衰减校正的迭代重建参数优化,在心肌灌注SPECT / CT中的分散校正和分辨率恢复

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Objective The aim of this study was to characterize the optimal reconstruction parameters for ordered-subset expectation maximization (OSEM) with attenuation correction, scatter correction, and depth-dependent resolution recovery (OSEM_(ACSCRR)). We assessed the optimal parameters for OSEM_(ACSCRR) in an anthropomorphic torso phantom study, and evaluated the validity of the reconstruction parameters in the groups of normal volunteers and patients with abnormal perfusion. Methods Images of the anthropomorphic torso phantom, 9 normal volunteers and 7 patients undergoing myocardial perfusion SPECT were acquired with a SPECT/CT scanner. SPECT data comprised a 64 x 64 matrix with an acquisition pixel size of 6.6 mm. A normalized meansquare error (NMSE) of the phantom image was calculated to determine both optimal OSEM update and a full width at half maximum (FWHM) of Gaussian filter. We validated the myocardial count, contrast and noise characteristic for clinical subjects derived from OSEM_(ACSCRR) processing. OSEM with depth-dependent resolution recovery (OSEM_(RR)) and filtered back projection (FBP) were simultaneously performed to compare OSEM_(ACSCRR)-Results The combination of OSEM_(ACSCRR) with 90-120 OSEM updates and Gaussian filter with 13.2-14.85 mm FWHM yielded low NMSE value in the phantom study. When we used OSEM_(ACSCRR) with 120 updates and Gaussian filter with 13.2 mm FWHM in the normal volunteers, myocardial contrast showed significantly higher value than that derived from 120 updates and 14.85 mm FWHM. OSEM_(ACSCRR) with the combination of 90-120 OSEM updates and 14.85 mm FWHM produced lowest % root mean square (RMS) noise. Regarding the defect contrast of patients with abnormal perfusion, OSEM_(ACSCRR) with the combination of 90-120 OSEM updates and 13.2 mm FWHM produced significantly higher value than that derived from 90-120 OSEM updates and 14.85 mm FWHM. OSEM_(ACSCRR) was superior to FBP for the % RMS noise (8.52 ± 1.08 vs. 9.55 ± 1.71, p = 0.02) and defect contrast (0.368 ± 0.061 vs. 0.327 ± 0.052, p = 0.01), respectively. Conclusions Clinically optimized the number of OSEM updates and FWHM of Gaussian filter were (1) 120 updates and 13.2 mm, and (2) 90-120 updates and 14.85 mm on the OSEM_(ACSCRR) processing, respectively. Further assessment may be required to determine the optimal iterative reconstruction parameters in a larger patient population.
机译:目的本研究的目的是具有衰减校正,分散校正和深度依赖性分辨率恢复(OSEM_(ACSCRR))的订购子集预期最大化(OSEM)的最佳重建参数。我们评估了拟人躯干幻影研究中的OSEM_(ACSCRR)的最佳参数,并评估了正常志愿者组中重建参数的有效性和异常灌注的患者。方法采用SPECT / CT扫描仪获得拟人躯干姿势,9个正常志愿者和经历心肌灌注SPECT的7例患者的图像。 SPECT数据包括64 x 64矩阵,采集像素大小为6.6mm。计算幻像图像的归一化途径误差(NMSE)以确定高斯滤波器的最佳OSEM更新和半最大(FWHM)的全宽。我们验证了从OSEM_(ACSCRR)处理的临床主题的心肌计数,对比度和噪声特性。同时执行具有深度依赖性分辨率恢复(OSEM_(RR))和过滤后投影(FBP)的OSEM以比较OSEM_(ACSCRR)-Result使用90-120 OSEM更新和高斯滤波器的OSEM_(ACSCRR)的组合。 14.85 mm FWHM在幻影研究中产生低NMSE值。当我们使用120个更新和高斯滤波器的OSEM_(ACSCRR),在正常志愿者中具有13.2毫米FWHM的高斯滤波器时,心肌对比度显示出比120更新的值明显较高,14.85 mm FWHM。 OSEM_(ACSCRR)的组合为90-120 OSEM更新和14.85 mm FWHM产生的最低%均方根(RMS)噪声。关于灌注异常患者的缺陷对比,OSEM_(ACSCRR)的组合为90-120SEM更新和13.2毫米FWHM产生的值明显高于90-120 OSEM更新和14.85mm FWHM。 OSEM_(ACSCRR)分别优于FBP,%RMS噪声(8.52±1.08,9.55±1.71,P = 0.02)和缺陷对比度(0.368±0.061与0.327±0.052,p = 0.01)。结论临床优化了高斯滤波器的OSEM更新数量和高斯滤波器的FWHM数量为(1)120更新和13.2毫米,分别在OSEM_(ACSCRR)处理上的14.85毫米。可能需要进一步评估来确定较大的患者群体中的最佳迭代重建参数。

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