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作 者:田嘉齐 温齐平 卢嘉宾 李雪娇 王伟 Tian Jiaqi;Wen Qiping;Lu Jiabin;Li Xuejiao;Wang Wei(Radiology Department,Beijing Rehabilitation Hospital affiliated to Capital Medical University,Beijing 100043,China;Beijing Key Laboratory of Magnetic Resonance Imaging Equipment and Technology,Peking University Third Hospital,Beijing 100191,China)
机构地区:[1]首都医科大学附属北京康复医院放射科,北京100043 [2]北京大学第三医院磁共振成像设备与技术北京市重点实验室,北京100191
出 处:《中国医学装备》2024年第9期155-161,共7页China Medical Equipment
基 金:国家自然科学基金(2022R-001);首都医科大学附属北京康复医院引进人才科研启动基金(12071075)。
摘 要:帕金森病(PD)的疾病诊断主要依赖于临床表现,常规的颅脑磁共振扫描难以发现其异常,不能满足早期精准量化帕金森病病变区域的要求。扩散磁共振成像(dMRI)技术是一种无创检查活体组织微观结构的方法。扩散加权成像(DWI)、扩散张量成像(DTI)是临床上应用最广泛的dMRI技术,但其原理具有局限性,不能充分刻画大脑组织的微观结构。讨论几种弥补传统dMRI模型的新型扩散MRI成像技术,包括扩散峰度成像(DKI)、神经突方向离散度与密度成像(NODDI)、血管周围间隙扩散张量成像(DTI-ALPS)。综述上述影像技术在探测PD患者脑部微观结构改变中的应用,为PD患者的病理改变提供更多的影像学信息。The diagnosis of Parkinson's disease(PD)mainly relies on clinical appearance of patients,and the routine magnetic resonance scan has difficulty in finding the abnormality of that,which is not able to meet the requirement of early and precise quantification for the PD lesion area.Diffusion magnetic resonance imaging(dMRI)technique is a noninvasive method of examining the microstructure of living tissue.Diffusion weighted imaging(DWI)and diffusion tensor imaging(DTI)were the most widely used in clinical practice.However,the principles of them have limitation,which are not able to fully outline the microstructure of brain tissue.This paper discussed several new dMRI techniques that are able to make up conventional dMRI model,which included diffusion kurtosis imaging(DKI),neurite orientation dispersion and density imaging(NODDI)and diffusion tensor imaging index of perivascular space(DTI-ALPS).Moreover,this paper summarized the applications of above imaging technique in exploring the changes of the microstructure of brain tissue of PD patients,so as to provide more imaging information for the pathological changes of PD patients.
关 键 词:帕金森 扩散峰度成像(DKI) 神经突方向离散度与密度成像(NODDI) 血管周围间隙扩散张量成像(DTI-ALPS)
分 类 号:R445.2[医药卫生—影像医学与核医学]
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