项目名称： 光学标测心肌组织深层荧光信息的提取与三维重建方法研究

项目编号： No.11274249

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 数理科学和化学

项目作者： 张镇西

作者单位： 西安交通大学

项目金额： 90万元

中文摘要： 心脏电活动光学标测技术正朝着全心脏深层三维立体功能成像方向发展。本课题组多年致力于心脏膜电位光学记录，已建立光学标测检测平台，并成功用于兔离体心脏电活动标测的基础实验研究。在此基础上，根据心脏表面所探测的荧光信号，利用蒙特卡洛模拟算法，恢复提取心肌组织深层三维电位分布是我们进一步的研究目标。本课题拟通过光学反射信号提取心肌组织结构信息（组织光学参数），利用荧光信号拟合提取心肌组织功能信息（荧光信息和电位信息），并将二者通过图像融合算法进行整合，恢复重建出深层三维心脏结构功能图像，开发出一套完整的具有自主知识产权的三维心肌组织结构和功能信息提取算法，用于探索电除颤机理、除颤条件和除颤过程的电位动态变化，探讨缺血性心律失常的生理机制，实现对组织深层折返信息的检测，从而为国内外电生理研究提供新的手段。

中文关键词： 高光谱系统；蒙特卡洛；三维体素模型；光学标测；神经网络

英文摘要： Cardiac optical mapping is now moving towards the goal of establishing 3D (three dimensional) deep tissue functional information of the whole heart. Our group has been devoted to optical measuring cardiac membrane potential for many years, and as a result, optical mapping platform has been built up and successfully applied to measure ex vivo rabbit cardiac potential. The next step is to extract 3D deep cardiac potential distribution using Monte Carlo simulation and cardiac surface detected fluorescence. In this research, reflectance signal will be used for cardiac tissue structural information (tissue optical properties) extraction while fluorescence signal will be used for functional information (fluorescent and electrical information) extraction, and then these two will be combined using image fusion algorithm to rebuild 3D deep cardiac structural and functional image. Our goal is to develop an algorithm with complete independent intellectual property rights for 3D cardiac structural and functional information extraction, and apply it to explore the mechanism and pre-condition of defibrillation, the dynamic change of electrical potential, as well as mechanism of ischemic arrhythmia and detection of deep tissue electrical reentry. The significance of this research is that it can provide new tools for electrophy

英文关键词： hyperspectral system；Monte Carlo simulation；3D model；optical mapping system；neural network model