眼前节图像采集、分析、归档系统的研究与实现

眼睛是我们认识世界、从事各项工作的重要工具。眼睛健康与否，眼前节生物数据是一个重要指标。随着数字图像处理技术的发展，使得利用计算机对眼前节图像进行采集、分析和归档成为可能。通过采集眼前节图像并自动分析眼前节生物数据，对临床各种眼部疾病的诊断、拟定治疗方案和评估治疗效果等方面，有着重要的现实意义。 本文的目标是研究并实现眼前节图像采集、分析和归档系统。首先对通用的裂隙灯显微镜进行改造，采集裂隙扫描眼前节图像；然后对利用直接焦点照明法采集得到图像进行自动分析提取眼前节的各种生理、病理参数；进一步结合DICOM标准，把采集和分析得到的结果以DICOM格式存储和归档。本文对其中的几个关键技术和方法研...Eyes are very important to our lives. Biologic parameters of anterior segment are criterions of determining whether the eye is sick or not. With the development of digital image processing, it is possible to capture, analyze and archive the anterior segment image by computer. Capturing the image and automatic analyzing of biologic parameters is useful for diagnosing illness, planning for cure and ...学位：工学硕士院系专业：计算机与信息工程学院计算机科学系_计算机应用技术学号：19992801

Signal Reconstruction Based on Compressed Sensing

随着信息技术的不断发展,人们对信息需求量越来越大,这给信号采样、传输和存储的实现带来的压力越来越大。近年来国际上出现的压缩传感理论为该问题的解决提供了新的解决方案。压缩传感理论首先将信号投影到一个低维的信号空间,然后通过解一个基于凸优化的非线性恢复算法将信号恢复,而仅仅需要很少的数据。介绍了CS理论框架并对其中存在的难点问题进行了探讨,主要有稀疏近似理论、观测矩阵、信号重建算法。最后将压缩传感理论应用到一维和二维图像数据重建中并给出了仿真结果。实验结果表明,该方法与传统压缩方法相比具有更高的压缩比,并且能够得到更小的压缩误差。With the development of information technology,the demands for information are increasing dramatically,which causes a series of challenges in signal sampling,transmission and storage.An emerging theory of compressed sensing(CS),which is presented in recent years,provides a new method for solving this problem.CS project a singnal into a lower dimension at frist,then by using nonlinear recovery algorithms(based on convex optimization),super-resolved signals and images can be reconstructed from what appears to be highly incomplete data.Introduces the processing of the signal sparse representation,observation matrix and recovery algorithms and focus on the theoretical framework of compressed sensing and discusses the existing difficult problems.Apply this new theory to data of one dimension and image of two dimensions and give the simulated result in the end.Experiments proved CS is higher compression ratio and smaller compression error than traditional data compression algorithm.国家自然科学基金(30770561

Realization of Kelp Monitoring System Based on LabVIEW

系统作为一个海洋赤潮检测的一个子项目,需要实现对采样海水水藻浓度的稀释以及检测。系统由PC机构成上位机,单片机作为下位机。利用LabVIEW图形界面设计的强大功能实现上位机的界面设计以及程序设计。使用LabVIEW的串行模块实现与下位机的通信。下位机部分采用成本低廉的单片机AT 89C52,以RTX51嵌入式实时多任务操作系统为核心构建数据采集控制系统。既充分利用了LabVIEW的强大功能,又充分利用RTX51操作系统提高了系统的稳定性。This paper designs a system to obtain and dilute the algae concentration of sampling sea water as a sub project of a red tide monitor system.This system realizes the interface design and program in PC as Mater system by using LabVIEW′s powerful and popular graphical language.It realizes the communication between PC and microcontroller by using the function of serial communication in LabVIEW.It realizes the data sample and control by using the RTX51 RTOS.This design is based on the powerful functions by LabVIEW and the stabilization by RTX51.国家863项目(2003AA635160);; 卫生部科学研究基金-福建卫生教育联合攻关计划资助项目(WKJ20052001

Segmentation Algorithm of CT Image Liver Based on MRF

介绍了马尔可夫随机场(MArkOV rAndOM fIEld,Mrf)的基本理论,以及基于Mrf的图像分割模型及其求解过程。利用Mrf分割方法对肝脏CT图片进行了分割,实验结果表明:该方法能够有效对肝脏实质进行分割,在一些模糊区域有更好的分割效果,可用于CT图像序列中的肝实质自动分割。In this article the Markov Random Field (MRF),as well as image segmentation based on MRF model and its solution process was described.A method to segment liver in CT image sequence based on MRF was put forward.The experimental result shows that this method can effectively segment liver from CT image.In particular,in some vague regions have a better segmentation and it can be applied to the automatic segmentation of CT image sequence.国家自然科学基金(编号:30770561); 生部科学研究基金—福建省卫生教育联合攻关计划资助项目(编号:WKJ2005-2-001;WKJ2008-2-41); 福建省自然科学基金项目(编号:2009J05156)~

3D Visualization of Liver CT Series Image Using Ray-casting Algorithm

肝脏CT图像的三维可视化具有重要的科研价值和实用意义。直接体绘制技术已经成为三维体数据集可视化的一种重要方法。光线投射算法是一种实现原理相对简单且绘制结果精确可靠的体绘制算法,但传统算法绘制速度较慢。综合研究了现有的主要优化技术:感兴趣区域划分、空间跳跃技术及体素分类的快速三线性插值的思想,加速了光线投射算法,实现了对肝CT图像三维重建。The visualization of liver CT series image volume data is important to scientific research and practical use.Direct volume rendering is an important method of 3D volume data visualization.As a volume rendering algorithm, Ray-casting Algorithm is easy to realize and its principle is rather simple.However,the rendering speed of traditional Ray-casting Algorithm is very slow.In this paper,we used three existed accelerating techniques:ROI division,space leaping,and the thesis of fast Tri-Linear interpolation based on voxel classified to accelerate Ray-casting Algorithm,and accomplished the 3d reconstruction of liver CT series image.国家自然科学基金(编号:30770561); 卫生部科学研究基金—福建省卫生教育联合攻关计划资助项目(编号:WKJ2005-2-001;WKJ2008-2-41); 福建省青年科技人才项目(编号:2009J05156)~

Study for the Anterior Capsule of Human Crystalline Lens with Nonlinear Finite Element Analysis

在临床试验获得的形态数据和物理数据的基础上,建立了连续环形撕囊后前囊膜的物理模型,利用非线性有限元分析法对撕开口大小与囊膜最大拉伸长度之间的关系进行了仿真计算。结果表明,随撕开口的增大,囊膜所能承受的最大拉伸长度显著增加,最大拉伸状态下的撕开口周长Cr与撕开口初始周长Cc的比值(Cr/Cc)也增大。该结论与实验研究的结论一致,表明前囊膜的可拉伸性能随着撕开口的增大而增大。进一步分析指出,拉伸时,撕开口边缘处外力作用的范围会显著影响最大拉伸长度:外力作用范围越大,囊膜所能承受的最大拉伸长度也就越大;增大幅度随作用范围的增加而减小。研究结果表明,仿真分析取得的结果与实验研究结果相符。Based on experimental data,a nonlinear finite element model of the anterior capsule was constructed to study the relationship between the diameter of continuous circular capsulorhexis(ccc) and the maximum extend of the anterior capsule by finite element analysis.Calculating results showed that the capsule could be extended larger by an external force as the diameter of CCC aperture increasing.This result is accord with the results of experimental studies on lens capsules of human body.Furthermore,simulation indicates that the contact area of the external force has a great influence on the max extend length: giving the same diameter of CCC,the capsule's extend length increasing as the contact area of the external force become larger.This result remains undiscovered in experimental studies.The current work demonstrates that simulation analysis is believed to be a promising,powerful tool in the field of biology medical engineering.国家自然科学基金资助项目(60371012);; 福建省科技重点项目(2002Y021

The Design of Anterior Segment Image Capturing System Using DirectShow

利用裂隙灯显微镜观察眼前节是眼科诊断中常用的检查手段,但长期以来存在着数据获取、保存和共享上的困难.而D irectShow是W indows平台上进行流媒体应用开发的最新标准.利用D irectShow技术设计了眼前节图像采集系统.阐述了根据需求构建采集系统的F ilter G raph模型的方法,包括采集设备的选取,视频流的预览和采集,以及如何使用Samp leG rabber方法捕捉眼前节图像,并提出了将D irectShow与MFC相结合进行开发的方法.该系统可以辅助眼科医师进行病理诊断,使医师可以有时间对图像进行细致的分析,从而提高病理诊断的正确率.经实际临床测试,效果较为理想.Observing anterior segment via slit lamp microscope is a common measure in ophthalmological diagnoses.However,this method has its inherent problem regarding to the difficulty of its data acquisition,storing and sharing.In this paper,a new design of anterior segment image capturing system based on DirectShow,which is a new standard media-streaming architecture for Windows platform, was presented.The building of Filter Graph model, which was the focus of the paper,included mainly three parts:the selection strategy of capture device,the preview and capture of video stream, and capturing anterior segment images by Sample Grabber method.A new method was proposed to the combination of DirectShow and MFC. With the help of this system,ophthalmologists can fix attention on in-depth analysis and as a result,the veracity of diagnosis can be increased.According to ophthalmologists,this system shows good results in clinic practice.国家自然科学基金(60371012);; 福建省科技重点项目(2002Y021);; 厦门市科技计划重点项目(3502Z20041044

Research on Automatic Acquisition of the Back of Tongue in Sublingual Veins Diagnosis

舌背区域自动撷取算法是为了获得舌下络脉特征所在的焦点区域,对于舌下络脉诊断自动的实现具有重要意义。采用基于形态学标记的水域分割算法大致确定了舌背所在区域,藉由分析舌背和剩余的背景彩色分量的差异性进行后处理。实验结果表明,该算法所撷取的舌背区域效果良好,健壮性好。此结果为实现后续舌下络脉特征分析奠定了基础。The automatic acquisition of tongue back is important to sublingual veins diagnosis.Using watershed segmentation algorithm based on morphology marker can largely locate the area including the back of tongue.By analyzing color components difference between the back of tongue and rest background can finally extract the back of tongue.Experimental results show that the algorithm works well,good robustness.The results lay the good foundation for follow-up features analysis of sublingual veins.国家自然科学基金(编号:30770561); 卫生部科学研究基金—福建省卫生教育联合攻关计划资助项目(编号:WKJ2008-2-41); 福建省青年科技人才创新资助项目(编号:2009J05156)~

Research On The Technology of Virtual Surgery Simulation for Biomembrane Tissue

生物膜组织的交互实时仿真是建立生物膜组织虚拟手术仿真环境的基础。针对生物膜组织的一些主要特征,结合虚拟眼手术仿真问题的研究,提出了一种基于弹簧质点模型的膜组织变形仿真建模,并特别考虑了碰撞检测和碰撞响应问题。对模型采用了准静态方法求解从而使变形仿真效果更稳定、真实感更强。所提出的方法被应用于眼角膜,较好地模拟了膜组织的基本特征。理论与实践均表明,该方法简单实用,效果较好。Interactive real-time simulation for biomembrane tissue is the base of virtual surgery simulation for biomembrane tissue. The paper presented a kind of method for deformation simulation modeling of biomembrane tissue. First, the author analyzed the basic characters of membrane tissue. Second, it presented the concept of virtual volumetric spring and the deformation model of biomembrane tissue based on mass-spring model. The model was solved by quasi-static method to get steadier and more realistic results. Last, the method was applied to cornea modeling and simulation. The presented method is simple and effective whether in theory or in practice.国家自然科学基金(编号:30770561)~

FOURIER RECOGNITION ANALYSIS IN THE APPLICATION of AUTOMATIC RECOGNITION RED TIDE ORGANISMS

本文研究了赤潮优势种识别技术,并实际运用于厦门大学流式细胞技术的赤潮实时监控系统fCAM。使用傅里叶形状特征描述子分析结合SVM算法作分类计算,通过对2009年4~10月厦门海域6种最常见的赤潮优势种的3000个样本为专门研究,并结合另外2种描述子算法将实验结果的识别精度提高到95.8%,具备较好的代表性。The recognition technology for the preponderant algae in red tide was studied and was applied to FCAM of Xiamen University real time monitoring system that using flow cytometry technology.Analysis for Fourier shape and feature descriptors and SVM was used as classifier,the experiment for classifying recognition precision that uniting with other two algorithms could be achieved to 95.8% about specially research of 6 classes 3,000 samples of Xiamen sea area's red tide algae