本文選題：生物發(fā)光成像 + 在體成像系統(tǒng)��； 參考：《北京交通大學(xué)》2009年碩士論文

【摘要】： 人類基因組計劃的成功極大地推動醫(yī)學(xué)影像技術(shù)進(jìn)步,使其歷經(jīng)結(jié)構(gòu)成像和功能成像階段后步入分子影像時代。具備高靈敏度、較低價格及操作簡單等特點的光學(xué)分子影像技術(shù)及日益成熟的人類疾病動物模型技術(shù)則為分子影像學(xué)邁進(jìn)試驗與預(yù)臨床階段奠定基礎(chǔ)。從分子、基因、細(xì)胞水平在體探討疾病發(fā)生發(fā)展的機(jī)理,在臨床癥狀出現(xiàn)之前就監(jiān)測到病變并實現(xiàn)疾病的早期預(yù)警和提高治療效果是人類迫切需要。 基于生物自發(fā)熒光的實時在體成像軟件平臺就是為此研究開發(fā)的。超低溫微光成像儀和專業(yè)密封暗箱等先進(jìn)進(jìn)口設(shè)備組裝而成的光學(xué)分子影像硬件系統(tǒng)既為軟件平臺搭建做好充分準(zhǔn)備也提出緊急任務(wù)。本文遵循面向?qū)ο笤瓌t用C++與QT編寫完成實時在體成像軟件平臺。構(gòu)成實時在體成像軟件平臺的子類既相互獨立靈活調(diào)用又邏輯嚴(yán)密集成一體,可以分為相機(jī)控制模塊、暗箱控制模塊、圖像運(yùn)算模塊、圖像分析與數(shù)據(jù)庫模塊等四部分。加上實驗?zāi)K,這就是本文的主要工作。 軟件平臺驅(qū)動并控制硬件系統(tǒng)獲取來自轉(zhuǎn)基因小鼠的生物發(fā)光圖像并作處理,輸出光照密度等生命特征信息,是中國首次報道的獨立自主開發(fā)的小動物活體光學(xué)成像系統(tǒng)。這成功實現(xiàn)的意義不僅僅在于生物發(fā)光圖像技術(shù)成為藥物檢測和藥效評估、腫瘤研究等在體研究手段,更重要的是生物發(fā)光斷層成像技術(shù)借此擺脫仿真平臺而進(jìn)入實驗階段。
[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.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2009
【分類號】：R346

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