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目的 探讨基于点扩散技术(PSF)的迭代重建方法(True X)对18F-FDG图像质量和SUV的影响, 并与其他重建方法比较.方法 回顾性分析37例肿瘤患者[男23例,女14例,年龄(63.38±15.25)岁]共79个高代谢病灶.采用包括FBP、FBP+TOF、迭代法、迭代法+TOF、True X及True X+TOF 6种重建方法对PET图像进行重建,进行配对t检验统计学分析.结果 6种重建方法所得的病灶SUVmax均存在明显差异.引入PSF技术的True X重建方法能将病灶SUVmax提高15%~16%.同时,PSF还能明显降低肝部SUV的离散度.结论 不同重建算法所得的SUV,尤其是病灶SUVmax间存在差异;PSF能提高图像质量,但会使病灶SUVmax明显增加,应加以重视.

Objective To discuss the impact of an iterative reconstruction algorithm (True X) implemented with point spread function (PSF) on image quality and SUV in 18F-FDG PET, and compare with other reconstruction algorithms.Methods A total of 79 hypermetabolic lesions from 37 cancer patients (23 males, 14 females, age (63.38±15.25) years) were retrospectively studied.The PET images were reconstructed using the following six reconstruction algorithms, including FBP, FBP+TOF, iteration, iteration+TOF, True X, True X+TOF.Paired t test was used for statistical analysis.Results All six reconstruction algorithms showed significant difference in lesion SUVmax.The adoption of PSF increased SUVmax by 15%-16%, and decreased the dispersion of SUV in the liver parenchyma remarkably.Conclusions Lesion SUVmax calculated from different reconstruction algorithms has significant differences.Caution should be taken in using PSF, as it can improve image quality but may also increase lesion SUVmax.