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

机译:心肌灌注spECT / CT中衰减校正,散射校正和分辨率恢复的迭代重建参数优化

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摘要

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 (OSEMACSCRR). We assessed the optimal parameters for OSEMACSCRR 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 × 64 matrix with an acquisition pixel size of 6.6 mm. A normalized mean square 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 OSEMACSCRR processing. OSEM with depth-dependent resolution recovery (OSEMRR) and filtered back projection (FBP) were simultaneously performed to compare OSEMACSCRR. Results: The combination of OSEMACSCRR 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 OSEMACSCRR 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. OSEMACSCRR 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, OSEMACSCRR 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. OSEMACSCRR 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 OSEMACSCRR processing, respectively. Further assessment may be required to determine the optimal iterative reconstruction parameters in a larger patient population. © 2013 The Japanese Society of Nuclear Medicine.
机译:目的:本研究的目的是通过衰减校正,散射校正和深度相关的分辨率恢复(OSEMACSCRR)表征有序子集期望最大化(OSEM)的最佳重建参数。我们在拟人躯干体模研究中评估了OSEMACSCRR的最佳参数,并评估了正常志愿者和灌注异常患者组中重建参数的有效性。方法:用SPECT / CT扫描仪获取拟人躯干体模,9名正常志愿者和7名进行心肌灌注SPECT的患者的图像。 SPECT数据包含一个64×64矩阵,采集像素大小为6.6mm。计算幻像图像的归一化均方误差(NMSE),以确定最佳OSEM更新和高斯滤波器的半峰全宽(FWHM)。我们验证了源自OSEMACSCRR处理的临床受试者的心肌计数,对比度和噪声特征。同时进行具有深度依赖性分辨率恢复的OSEM(OSEMRR)和过滤后投影(FBP),以比较OSEMACSCRR。结果:在幻像研究中,OSEMACSCRR与90-120 OSEM更新以及高斯滤波器与13.2-14.85 mm FWHM的组合产生了较低的NMSE值。当我们在正常志愿者中使用具有120个更新的OSEMACSCRR和具有13.2毫米FWHM的高斯滤镜时,心肌对比度显示出比120个更新和14.85 mm FWHM更高的心肌对比度值。 OSEMACSCRR与90-120 OSEM更新和14.85毫米FWHM的结合产生了最低的均方根(RMS)噪声。关于灌注异常患者的缺陷对比,OSEMACSCRR与90-120 OSEM更新和13.2 mm FWHM的组合产生的值明显高于90-120 OSEM更新和14.85 mm FWHM的值。 OSEMACSCRR的%RMS噪声(8.52±1.08对9.55±1.71,p = 0.02)和缺陷对比度(0.368±0.061对0.327±0.052,p = 0.01)优于FBP。结论:临床优化的高斯滤镜的OSEM更新和FWHM数量分别为(1)120个更新和13.2 mm,以及(2)90-120个更新和14.85 mm的OSEMACSCRR处理。可能需要进一步评估,以确定更大患者群中的最佳迭代重建参数。 ©2013日本核医学学会。

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