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首页> 外文期刊>NeuroImage >Assessment of the impact of model-based scatter correction on (18F)-FDG 3D brain PET in healthy subjects using statistical parametric mapping.
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Assessment of the impact of model-based scatter correction on (18F)-FDG 3D brain PET in healthy subjects using statistical parametric mapping.

机译:使用统计参数映射评估健康受试者中基于模型的散射校正对(18F)-FDG 3D脑PET的影响。

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It is recognized that scatter correction can supply more accurate absolute quantification, and that iterative reconstruction results in better noise properties and significantly reduces streak artefacts; however, it is not entirely clear whether they produce significant changes in [18F]-FDG distribution of reconstructed 3D brain PET images relative to not scatter corrected images and analytic reconstruction procedures. The current study assesses the effect of model-based scatter correction using the single-scatter simulation algorithm and iterative reconstruction in 3D brain PET studies, using statistical parametric mapping (SPM) analysis. The study population consisted of 14 healthy volunteers (6 males, 8 females; age 63-80 years). PET images were reconstructed using an analytic 3DRP reprojection algorithm with (SC) and without explicit scatter correction (NSC), as well as using an iterative ordered subset-expectation maximization (OSEM) algorithm. Calculated attenuation correction was performed assuming uniform attenuation (mu = 0.096 cm(-1)) for brain tissues when data are precorrected for scatter. The broad-beam attenuation coefficient (mu = 0.06 cm(-1)) determined from phantom studies was applied to NSC images. The images were coregistered and normalized using the default [15O]-H2O template supplied with SPM99 and an [18F]-FDG template. A t statistic image for the contrast condition effect was then constructed. The contrast comparing SC to NSC images suggest that regional brain metabolic activity decreases significantly in the frontal gyri, in addition to the middle temporal and postcentral gyri. On the other hand, activity increases in the cerebellum, thalamus, insula, brainstem, temporal lobe, and the frontal cortex. No significant changes were detected when comparing images reconstructed using analytic and iterative algorithms. It is concluded that, for some cerebral areas, significant differences in [18F]-FDG distribution arise when images are reconstructed with and without explicit SC. This needs to be considered when interpreting [18F]-FDG 3D brain PET images after applying SC.
机译:公认的是,散点校正可以提供更准确的绝对量化,并且迭代重建可以带来更好的噪声特性并显着减少条纹伪影。但是,相对于未散射校正的图像和解析重建程序,它们是否会在重建的3D脑部PET图像的[18F] -FDG分布中产生重大变化尚不完全清楚。当前的研究使用统计参数映射(SPM)分析在3D脑PET研究中使用单散射仿真算法和迭代重建评估基于模型的散射校正的效果。研究人群包括14名健康志愿者(男6例,女8例;年龄63-80岁)。使用具有(SC)和无显式散点校正(NSC)的解析3DRP重投影算法以及迭代有序子集期望最大化(OSEM)算法重建PET图像。预先计算散点数据时,假设大脑组织的均匀衰减(mu = 0.096 cm(-1)),则执行计算得出的衰减校正。从幻像研究确定的宽光束衰减系数(μ= 0.06 cm(-1))应用于NSC图像。使用SPM99随附的默认[15O] -H2O模板和[18F] -FDG模板对图像进行配准和标准化。然后构造用于对比条件效果的t统计图像。比较SC和NSC图像的对比结果表明,除了颞中和中央后回之外,额叶回中的区域性脑代谢活动也明显降低。另一方面,小脑,丘脑,岛状,脑干,颞叶和额叶皮层的活动增加。比较使用解析和迭代算法重建的图像时,未检测到重大变化。结论是,在有和没有显式SC的情况下重建图像时,对于某些大脑区域,[18F] -FDG分布会产生明显差异。在应用SC解释[18F] -FDG 3D脑部PET图像时,需要考虑这一点。

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