In animal experiments,ischemic stroke is usually induced through middle cerebral artery occlusion(MCAO),and quality assessment of this procedure is crucial.However,an accurate assessment method based on 18F-fluorodeox...In animal experiments,ischemic stroke is usually 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 tomography(PET)is still lacking.The difficulty lies in the inconsistent preprocessing pipeline,biased intensity normalization,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.展开更多
基金supported by R4012-18,C6021-19EF and GRF 16306919 from the Research Grant Council(RGC)ITS/480/18FP and MHP/033/20+2 种基金from the Innovation and Technology Commission(ITC)of the Hong Kong S.A.R.,Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone Projec(HZQB-KCZYB-2020083)the National Natural Science Foundation of China(U1809204)the Talent Program of Zhejiang Province(2021R51004)。
文摘In animal experiments,ischemic stroke is usually 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 tomography(PET)is still lacking.The difficulty lies in the inconsistent preprocessing pipeline,biased intensity normalization,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.
