School of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Department of Nuclear Medicine, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Sci Data. 2021 Nov 26;8(1):305. doi: 10.1038/s41597-021-01089-1.
Statistical Parametric Mapping (SPM) is a computational approach for analysing functional brain images like Positron Emission Tomography (PET). When performing SPM analysis for different patient populations, brain PET template images representing population-specific brain morphometry and metabolism features are helpful. However, most currently available brain PET templates were constructed using the Caucasian data. To enrich the family of publicly available brain PET templates, we created Chinese-specific template images based on 116 [F]-fluorodeoxyglucose ([F]-FDG) PET images of normal participants. These images were warped into a common averaged space, in which the mean and standard deviation templates were both computed. We also developed the SPM analysis programmes to facilitate easy use of the templates. Our templates were validated through the SPM analysis of Alzheimer's and Parkinson's patient images. The resultant SPM t-maps accurately depicted the disease-related brain regions with abnormal [F]-FDG uptake, proving the templates' effectiveness in brain function impairment analysis.
统计参数映射 (SPM) 是一种用于分析正电子发射断层扫描 (PET) 等功能脑图像的计算方法。在对不同患者群体进行 SPM 分析时，代表特定人群脑形态和代谢特征的脑 PET 模板图像很有帮助。然而，目前大多数可用的脑 PET 模板都是使用白种人数据构建的。为了丰富现有的脑 PET 模板系列，我们基于 116 名正常参与者的 [F]-氟脱氧葡萄糖 ([F]-FDG) PET 图像创建了特定于中国人的模板图像。这些图像被扭曲到一个通用的平均空间中，在这个空间中计算了平均值和标准差模板。我们还开发了 SPM 分析程序，以方便模板的使用。我们通过对阿尔茨海默病和帕金森病患者图像的 SPM 分析验证了我们的模板。所得的 SPM t 图准确地描绘了与疾病相关的大脑区域的异常 [F]-FDG 摄取，证明了模板在大脑功能障碍分析中的有效性。
