老年痴呆严重危害着社会和家庭，其中最主要的病种为阿尔兹海默病（AD）。AD是一个不可逆的发展过程，早期发现与早期干预是预后的关键，而目前缺少有效的技术手段进行早期诊断。本团队在前期开发基于化学交换饱和传递成像的分子影像系统，发现通过该技术可早期在体无创地检测脑部精细解剖结构与高分辨的代谢成像和功能信息，有望为AD的早期诊断提供依据。本项目将以实验室长期的优势技术（化学交换饱和转移和多体素频谱）为基础创建新型磁共振多模态分子影像技术，结合机器学习探索β-淀粉样蛋白、Tau蛋白等特异蛋白及代谢物的活体无创磁共振成像，实现以时间为尺度的连续重复检测，为AD的早期诊断提供重要的分子影像学特征指标。本项目成功将实现更具有临床推广前景的无放射损伤的磁共振新技术，为阿尔茨海默病的早期诊治提供有力工具。

Dementia diseases severely harm human society and families. The most common disease of them is Alzheimer’s disease (AD). Because AD is an irreversible, progressive brain disorder, early diagnosis and treatment are critically important. However, there is currently no effective way for early diagnosis. Based on our development of chemical exchange saturation transfer molecular system, we found this technique can be used to image delicate anatomic structure and detect high-resolution metabolism and functional information in the early stage noninvasively, which may facilitate early diagnosis of AD. This program will be based on our advantages (including chemical exchange saturation transfer and multiple-voxel magnetic resonance spectroscopy), to create a new magnetic resonance multimode molecular imaging system, to explore the in vivo magnetic resonance imaging of β-amyloid, Tau protein, and other specific metabolites noninvasively. We will also achieve the dynamic characteristics of AD over a long-term timescale, combining machine learning to analyze the important molecular imaging characteristics of AD in the early stage. The success of this study will provide a widespreadly useful and nonradiation- invasive tool for early diagnosis and treatment of Alzheimer's disease.