摘要In animal experiments,ischemic stroke is usu-ally induced through middle cerebral artery occlusion(MCAO),and quality assessment of this procedure is crucial.However,an accurate assessment method based on 18F-fluorodeoxyglucose(FDG)positron emission tomog-raphy(PET)is still lacking.The difficulty lies in the inconsistent preprocessing pipeline,biased intensity nor-malization,or unclear spatiotemporal uptake of FDG.Here,we propose an image feature-based protocol to assess the quality of the procedure using a 3D scale-invariant feature transform and support vector machine.This feature-based protocol provides a convenient,accurate,and reliable tool to assess the quality of the MCAO procedure in FDG PET studies.Compared with existing approaches,the proposed protocol is fully quantitative,objective,automatic,and bypasses the intensity normalization step.An online interface was constructed to check images and obtain assessment results.