光学 精密工程, 2014, 22 (4): 1086, 网络出版: 2014-05-06
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
光学相干层析 医学图像处理 图像降噪 图像分类 图像分割 Optical Coherence Tomography(OCT) medical image processing image denoising image classification image segmentation
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.
孙延奎. 光学相干层析医学图像处理及其应用[J]. 光学 精密工程, 2014, 22(4): 1086. SUN Yan-kui. Medical image processing techniques based on optical coherence tomography and their applications[J]. Optics and Precision Engineering, 2014, 22(4): 1086.