点击次数：

论文类型：期刊论文

发表时间：2021-01-01

发表刊物：SCIENTIFIC DATA

所属单位：[1] Dalian University of Technology [2] Dalian Medical University

刊物所在地：德国柏林

学科门类：[1] Multidisciplinary Sciences

卷号：8

期号：1

页面范围：305

ISSN号：2052-4463

关键字：PROBABILISTIC ATLAS，NORMALIZATION，REGISTRATION

摘要：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-18]-fluorodeoxyglucose ([F-18]-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-18]-FDG uptake, proving the templates' effectiveness in brain function impairment analysis.

DOI码：10.1038/s41597-021-01089-1

影响因子：8.501