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首页> 外文期刊>The Journal of Nuclear Medicine >Application of MRI-Based Partial-Volume Correction to the Analysis of PET Images of ??-Opioid Receptors Using Statistical Parametric Mapping
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Application of MRI-Based Partial-Volume Correction to the Analysis of PET Images of ??-Opioid Receptors Using Statistical Parametric Mapping

机译：基于核磁共振的部分体积校正在统计参数映射中分析β-阿片受体PET图像中的应用

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id="p-1">The accurate quantification of brain radioactivity concentration is limited by the spatial resolution of the PET scanner for structures smaller than 2-3 times the resolution. In the presence of enlarged cerebrospinal fluid spaces or regions of cortical neuronal loss, a significant underestimation of gray-matter radioactivity concentration due to the resulting partial-volume averaging can potentially occur. To recover the true radioactivity concentration from PET data, algorithms that use the high-resolution anatomic information provided by MRI have been developed. Their effect on PET quantification has been assessed using regions of interest and non-operator-dependent voxel-based analyses such as statistical parametric mapping (SPM), although the mechanisms that lead to an improvement in PET quantification after partial-volume correction (PVC), compared with no PVC, have not been addressed. >Methods: We studied the influence of our previously described MRI-based PVC algorithm on SPM analysis of age effects on ??-opioid receptor (??-OR) binding using 11C-carfentanil PET in 14 healthy subjects (age range, 29-74 y). >Results: ??-OR binding increased with age at a rate of about 0.9% per year in the left temporal cortex after PVC, consistent with the results obtained from human autoradiographic studies. Without PVC, no significant relationship with age was observed. PVC decreased mainly the residual variability of voxel ??-OR binding values around the age regression line. >Conclusion: MRI-based PVC improves the sensitivity and accuracy of voxel-based statistical analysis of PET data.
机译：id =“ p-1”>对于小于2-3倍分辨率的结构，PET扫描仪的空间分辨率限制了大脑放射性浓度的准确定量。在脑脊液空间或皮质神经元缺失区域增大的情况下，由于产生的局部体积平均，可能会严重低估灰色物质的放射性浓度。为了从PET数据中恢复真正的放射性浓度，已经开发出了使用MRI提供的高分辨率解剖信息的算法。尽管使用了引起部分体积校正（PVC）后导致PET定量改善的机制，但已使用感兴趣区域和基于非操作者的基于体素的分析（例如统计参数映射（SPM））评估了它们对PET定量的影响。 ，与没有PVC相比，尚未得到解决。 >方法：我们使用 11 研究了先前描述的基于MRI的PVC算法对SPM分析年龄对??-阿片受体（??-OR）结合的影响。 14名健康受试者（年龄范围为29-74岁）中的C-甲芬太尼PET。 >结果：PVC术后左侧颞叶皮质中??-OR结合随着年龄的增长以每年约0.9％的速度增加，这与人类放射自显影研究的结果一致。没有PVC，没有观察到与年龄的显着关系。 PVC主要降低了年龄回归线附近体素γ-OR结合值的残留变异性。 >结论：基于MRI的PVC可提高基于体素的PET数据统计分析的灵敏度和准确性。

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