基于自发荧光的实时在体成像软件平台的研究开发

发布时间：2018-06-01 07:38

本文选题：生物发光成像 + 在体成像系统　；参考：《北京交通大学》2009年硕士论文

【摘要】： 人类基因组计划的成功极大地推动医学影像技术进步,使其历经结构成像和功能成像阶段后步入分子影像时代。具备高灵敏度、较低价格及操作简单等特点的光学分子影像技术及日益成熟的人类疾病动物模型技术则为分子影像学迈进试验与预临床阶段奠定基础。从分子、基因、细胞水平在体探讨疾病发生发展的机理,在临床症状出现之前就监测到病变并实现疾病的早期预警和提高治疗效果是人类迫切需要。基于生物自发荧光的实时在体成像软件平台就是为此研究开发的。超低温微光成像仪和专业密封暗箱等先进进口设备组装而成的光学分子影像硬件系统既为软件平台搭建做好充分准备也提出紧急任务。本文遵循面向对象原则用C++与QT编写完成实时在体成像软件平台。构成实时在体成像软件平台的子类既相互独立灵活调用又逻辑严密集成一体,可以分为相机控制模块、暗箱控制模块、图像运算模块、图像分析与数据库模块等四部分。加上实验模块,这就是本文的主要工作。软件平台驱动并控制硬件系统获取来自转基因小鼠的生物发光图像并作处理,输出光照密度等生命特征信息,是中国首次报道的独立自主开发的小动物活体光学成像系统。这成功实现的意义不仅仅在于生物发光图像技术成为药物检测和药效评估、肿瘤研究等在体研究手段,更重要的是生物发光断层成像技术借此摆脱仿真平台而进入实验阶段。
[Abstract]:The success of the Human Genome Project has greatly promoted the progress of medical imaging technology, which has led it to enter the era of molecular imaging after the stage of structural and functional imaging. The high sensitivity, low price and simple operation of optical molecular imaging technology and the increasingly mature animal model of human disease technology will lay the foundation for molecular imaging to advance into the experimental and pre-clinical stage. It is urgent for human beings to explore the mechanism of disease occurrence and development from the molecular, gene and cell levels, to detect the disease before clinical symptoms appear, to realize early warning of disease and to improve the therapeutic effect. The real-time in-vivo imaging software platform based on biological autofluorescence is developed for this purpose. The optical molecular imaging hardware system, which is assembled by the advanced imported equipment such as ultra-low temperature light imager and professional sealed dark box, is not only fully prepared for the software platform, but also puts forward the urgent task. In this paper, the object-oriented principle is followed. C and QT are used to complete the real-time in-vivo imaging software platform. The subclasses, which constitute the real-time in vivo imaging software platform, can be divided into four parts: camera control module, dark box control module, image operation module, image analysis and database module. Add experimental module, this is the main work of this paper. The software platform drives and controls the hardware system to obtain and process bioluminescent images from transgenic mice and to output information of life characteristics such as light density. It is the first time that China has independently developed an optical imaging system for small animals in vivo. The significance of this successful realization is not only that bioluminescence image technology has become in vivo research means such as drug detection and evaluation of drug efficacy, tumor research, but also that bioluminescent tomography technology can be used to get rid of the simulation platform and enter the experimental stage.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2009
【分类号】：R346

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