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首页> 外文期刊>Nuclear Medicine Review >Optimization of image reconstruction method for SPECT studies performed using [99mTc-EDDA/HYNIC] octreotate in patients with neuroendocrine tumors
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Optimization of image reconstruction method for SPECT studies performed using [99mTc-EDDA/HYNIC] octreotate in patients with neuroendocrine tumors

机译：[99mTc-EDDA / HYNIC]奥曲肽在神经内分泌肿瘤患者中进行SPECT研究的图像重建方法的优化

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BACKGROUND: Somatostatin receptor scintigraphy (SRS) is a useful tool in the assessment of GEP-NET (gastroenteropancreatic neuroendocrine tumor) patients. The choice of appropriate settings of image reconstruction parameters is crucial in interpretation of these images. The aim of the study was to investigate how the GEP NET lesion signal to noise ratio (TCS/TCB) depends on different reconstruction settings for Flash 3D software (Siemens). METHODS: SRS results of 76 randomly selected patients with confirmed GEP-NET were analyzed. For SPECT studies the data were acquired using standard clinical settings 3–4 h after the injection of 740 MBq 99mTc-[EDDA/HYNIC] octreotate. To obtain final images the OSEM 3D Flash reconstruction with different settings and FBP reconstruction were used. First, the TCS/TCB ratio in voxels was analyzed for different combinations of the number of subsets and the number of iterations of the OSEM 3D Flash reconstruction. Secondly, the same ratio was analyzed for different parameters of the Gaussian filter (with FWHM = 2–4 times greater from the pixel size). Also the influence of scatter correction on the TCS/TCB ratio was investigated. RESULTS: With increasing number of subsets and iterations, the increase of TCS/TCB ratio was observed. With increasing settings of Gauss [FWHM coefficient] filter, the decrease of TCS/TCB ratio was reported. The use of scatter correction slightly decreases the values of this ratio. CONCLUSIONS: OSEM algorithm provides a meaningfully better reconstruction of the SRS SPECT study as compared to the FBP technique. A high number of subsets improves image quality (images are smoother). Increasing number of iterations gives a better contrast and the shapes of lesions and organs are sharper. The choice of reconstruction parameters is a compromise between image qualitative appearance and its quantitative accuracy and should not be modified when comparing multiple studies of the same patient.
机译：背景：生长抑素受体闪烁体成像（SRS）是评估GEP-NET（胃肠道胰腺神经内分泌肿瘤）患者的有用工具。选择合适的图像重建参数设置对于解释这些图像至关重要。这项研究的目的是调查GEP NET病变信噪比（TCS / TCB）如何取决于Flash 3D软件（Siemens）的不同重建设置。方法：对76例经确认的GEP-NET的随机选择患者的SRS结果进行分析。对于SPECT研究，在注射740 MBq 99mTc- [EDDA / HYNIC]奥曲肽后3-4小时，使用标准临床设置获取数据。为了获得最终图像，使用了具有不同设置的OSEM 3D Flash重建和FBP重建。首先，针对OSEM 3D Flash重建子集数量和迭代数量的不同组合，分析了体素中的TCS / TCB比。其次，对高斯滤波器的不同参数分析了相同的比率（FWHM =像素大小的2-4倍）。还研究了散射校正对TCS / TCB比的影响。结果：随着子集和迭代次数的增加，观察到TCS / TCB比率增加。随着高斯[FWHM系数]滤波器设置的增加，TCS / TCB比减小了。使用散射校正会稍微降低此比率的值。结论：与FBP技术相比，OSEM算法可以更好地重建SRS SPECT研究。大量子集可改善图像质量（图像更平滑）。迭代次数的增加将提供更好的对比度，并且病变和器官的形状更加清晰。重建参数的选择是图像定性外观与其定量精度之间的折衷，在比较同一患者的多项研究时不应修改。

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