项目立足于本团队已研发的血管内光声成像系统及光声脂质定量成像技术等系列前期研究基础，围绕斑块易损性识别的血管内光声成像新方法及其在斑块分子标记物筛选方面的下游应用而开展系统研究。具体研发反映斑块纤维帽和脂质核心成分结构的光声脂质与胶原组分成像技术、反映斑块纤维帽不完整性的定量光声弹性成像技术、反映斑块炎症活性的光声粘弹比成像技术以及探针标记的光声炎症因子成像技术；利用这些新方法技术提取、验证、整合易损斑块识别的光声活检影像学参数，并与传统临床检测信息对照、统一和扩展；在血管内光声易损斑块识别技术的监测下，结合脂质代谢组学技术，研究建立活体、连续、动态的动脉粥样硬化动物模型外周血脂质代谢谱的数据库，实现易损斑块分子标记物的分析与筛选。最终通过以上新方法新技术促进血管稳态维持及血管重构分子机制的深入理解，为临床血液筛查斑块易损性和靶向治疗提供有统计学意义的参数和评估方案。

Based on the series of preliminary studies on the intravascular photoacoustic imaging system and the lipid quantitative photoacoustic imaging technology, the project focus on new principal photoacoustic imaging for intravascular vulnerable identification and downstream application of molecular markers screening. We will develop photoacoustic lipid and collagen imaging, quantitative photoacoustic elastography, photoacoustic viscoelasty imaging and photoacoustic inflammation imaging. Utilizing of these new technologies, we will extract, verify and integrate photoacoustic imaging parameters to identify vulnerable plaque, and compare to the traditional clinical testing information. Combine intravascular photoacoustic imaging with lipid metabolomics technology, we want to establish the blood lipid metabolic database on continuous, dynamic atherosclerosis animal models, and to analysis and screen molecular markers of vulnerable plaque. Finally, the above technologies will deepen understanding the remodeling of vascular homeostasis and the molecular mechanisms, and provide a statistically significant assessment parameters and treatment program.