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Indexed by:Journal Papers

Date of Publication:2021-01-01

Journal:SCIENTIFIC DATA

Affiliation of Author(s):[1] Dalian University of Technology [2] Dalian Medical University

Place of Publication:德国柏林

Discipline:[1] Multidisciplinary Sciences

Volume:8

Issue:1

Page Number:305

ISSN No.:2052-4463

Key Words:PROBABILISTIC ATLAS，NORMALIZATION，REGISTRATION

Abstract: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 number:10.1038/s41597-021-01089-1

Impact Factor:8.501