Sun Felice T, Schriber Roberta A, Greenia Joel M, He Jiawei, Gitcho Amy, Jagust William J
Helen Wills Neuroscience Institute, School of Public Health, University of California, 118 Barker Hall, Berkeley, CA 94720, USA.
Neuroimage. 2007 Jan 15;34(2):608-17. doi: 10.1016/j.neuroimage.2006.09.022. Epub 2006 Nov 16.
The definition of regions of interest for PET data analysis poses a number of complex problems. While studies have shown that regions drawn on a template can be appropriate for extracting data for normal healthy subjects, it is unclear how these results can be applied to different populations. In this study, we focused on the aging population and examined how different parameters in the template data-extraction process may affect the accuracy of the results. We first present an automated method for extracting PET counts using a region-of-interest approach within a template framework. Then, we discuss two studies in which we measure the effects of varying specific parameters in this process. In study 1 we examined three parameters that may influence this process: choice of template, region, and threshold. In study 2 we focused on the hippocampus. We considered 6 different templates, and examined how well the subject-specific hippocampal masks overlapped with each other and with the template hippocampal masks after normalization. While the data in the older cohort are more variable than the normal population, the results suggest that using an appropriate template and selecting the correct parameters for the template-based ROI method can provide template-extracted counts that are highly correlated to counts extracted using subject-specific ROIs.
正电子发射断层扫描（PET）数据分析中感兴趣区域的定义存在一些复杂问题。虽然研究表明，基于模板绘制的区域适用于为正常健康受试者提取数据，但尚不清楚这些结果如何应用于不同人群。在本研究中，我们聚焦于老年人群体，研究了模板数据提取过程中的不同参数如何影响结果的准确性。我们首先提出一种在模板框架内使用感兴趣区域方法提取PET计数的自动化方法。然后，我们讨论两项研究，其中我们测量了此过程中不同特定参数的影响。在研究1中，我们研究了可能影响此过程的三个参数：模板的选择、区域和阈值。在研究2中，我们聚焦于海马体。我们考虑了6种不同的模板，并研究了个体特异性海马体掩码在归一化后彼此之间以及与模板海马体掩码的重叠程度。虽然老年队列中的数据比正常人群更具变异性，但结果表明，使用合适的模板并为基于模板的感兴趣区域方法选择正确的参数，可以提供与使用个体特异性感兴趣区域提取的计数高度相关的模板提取计数。
