光纤结构的共臂分光OCT内窥镜在癌症早期诊断中的研究

项目名称： 光纤结构的共臂分光OCT内窥镜在癌症早期诊断中的研究

项目编号： No.U1204615

项目类型： 联合基金项目

立项/批准年度： 2013

项目学科： 无线电电子学、电信技术

项目作者： 李艳军

作者单位： 河南工业大学

项目金额： 30万元

中文摘要： 癌症一直严重威胁着人类的健康和生命，癌症的早期诊断是提高治愈率的最有效方法。由于早期肿瘤体积微小，当前影像学方法并不能有效诊断。光学相干层析(OCT)技术可达到微米级分辨率，如能制作微小且柔度好的OCT探针进入人体内，则癌细胞在微米级变异时就可做出诊断。为此将重点研究：1)光纤结构的共臂分光OCT内窥镜系统建模。通过一特殊的光纤准直器，并通过一个中空毛细玻璃管实现共臂分光，使整个共臂OCT内窥镜为光纤尺寸大小，达到减小设备体积、增加柔度的目的。此方法可以解决传统OCT内窥镜的信号臂在人体内时，因肠道蠕动和血液流动等因素，信号臂相对于参考臂处于不稳定状态的问题；2) 研究一种适合此共臂分光系统的三维扫描机构。通过引入转子、定子及离合器机构，在共臂前提下分别实现横向扫面和轴向扫描；3)以OCT轴向分辨率为步长的两帧相移算法。该算法对相移器的移动精度要求大为降低，从而简化相移机构，降低成本。

中文关键词： 光学相干层析；共臂分光；全光纤准直；角锥型光纤熔焊；相移算法

英文摘要： Cancer is a type of grave disease which seriously menaces the health of the human beings, and earlier diagnosis of cancer is the most effective treatment for raising the recovered rate. Due to the small volume of incipient tumors, the conventional imaging methods cannot effectively diagnose early-stage cancer. Since the spatial resolution of optical coherence tomography (OCT) can reach the magnitude of micron, and if the OCT probe possesses the characteristic of small fabric and nice flexibility in order to easily enter into human body, OCT probe can detect the tumors in a very early-stage. So, this proposal mainly research on: 1) Modeling of fiber structure common-path endoscopic OCT (CP-EOCT). By using a fiber collimator and a glass tube as beam-splitting Michelson interferometer, an ultracompact CP-EOCT probe is designed to achieve the combined goals of high spatial resolution, small volume and flexibility. Moreover, compared with conventional EOCT, This probe has great advantage of high phase stability because the common-path structure will not be affected by the gastrointestinal peristalsis and blood flow when enter into human body. 2) Scanning mechanism of CP-EOCT system. Rotors, stators and clutches are employed to separate A-Scan and B-Scan in the condition of common-path, and in the meanwhile, to adjust

英文关键词： Optical Coherence Tomography；Common-path；all-fiber collimator；cone shape fusion mode；Phase-shifting Algorithm