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光学相干层析医学图像处理及其应用

Medical image processing techniques based on optical coherence tomography and their applications

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摘要

由于人工分析光学相干层析(OCT)图像费时费力、主观及可重复性差, 因而快速、精确与客观地检测与量化生物特征标记是OCT医学图像研究与疾病诊断的关键。本文综述了光学相干层析(OCT)医学图像处理技术与应用的研究进展。介绍了OCT成像技术的特点及其主要应用, OCT图像处理的难点、基本问题及主要研究内容; 讨论了对时域OCT和频域OCT图像降噪、图像分类与图像分割的重要方法及应用, 并分析了各种方法的优缺点及研究发展方向。此外, 介绍了偏振敏感光学相干层析(PS-OCT)在医学图像分析中的应用。文中讨论的应用对象涉及到视网膜、角膜、冠脉、前列腺、牙齿、食道、结肠、膀胱、皮肤、乳腺等组织, 可为人们综合了解OCT图像处理及其应用现状提供丰富的信息。

Abstract

Due to the time consuming, poor reproducibility and the subjective nature of manual image analysis, the fast, accurate and objective detection and quantification of biomarker imaging are crucial for the study and diagnosis of various diseases. Research development and progress in medical imaging techniques based on Optical Coherence Tomography(OCT) and their applications are reviewed in this paper. Features and applications of OCT imaging systems are briefly introduced; problems to be resolved, main research and difficulties involved are presented. Noise reductions in time-domain OCT and spectral-domain OCT imaging systems are discussed; the advantages and disadvantages in these methods are analyzed, and future researches are predicted. Applications of polarization-sensitive OCT in medical imaging analysis are also briefly introduced. This review paper involves various biological subjects such as retina, cornea, coronary, prostate, teeth, esophagus, colon, bladder, skin, and breast,which provide rich information about the state-of-the art of OCT medical image automatic analysis.

Newport宣传-MKS新实验室计划
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中图分类号:TP391.4;Q-334

DOI:10.3788/ope.20142204.1086

所属栏目:信息科学

基金项目:国家自然科学基金资助项目(No.60971006); 国家863高技术研究发展计划资助项目(No.2013AA013702)

收稿日期:2013-08-28

修改稿日期:2013-09-27

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孙延奎:清华大学 计算机科学与技术系, 北京 100084Department of Ophthalmology,Duke University Medical Center,Durham,NC 27710

联系人作者:孙延奎(syk@mail.tsinghua.edu.cn)

备注:孙延奎(1965-), 男, 河南许昌人, 博士, 副教授,1985年于河南大学获得学士学位,1991年于江西大学(现南昌大学)获得硕士学位, 1999年于北京航空航天大学获得博士学位, 2001年于清华大学博士后出站并留校任教至今,2013年9月到杜克大学做访问学者,带领清华大学计算机系可视化技术与图形学研究室主要从事光学相干层析图像处理、可视化技术、移动终端图形处理和增强现实, 以及小波技术研究。

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