An overview of methods to mitigate artifacts in optical coherence tomography imaging of the skin

An overview of methods to mitigate artifacts in optical coherence tomography imaging of the skin
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DOI:
10.1111/srt.12423
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发表时间:
2018-05-01
影响因子:
2.2
通讯作者:
Nasiriavanaki, Mohammadreza
Nasiriavanaki, Mohammadreza
中科院分区:
医学4区
文献类型:
--
作者:
Adabi, Saba;Fotouhi, Audrey;Nasiriavanaki, Mohammadreza

文献摘要

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背景:皮肤的光学相干断层扫描(OCT)提供组织微观结构的三维图像。虽然OCT成像提供了一种有前途的高分辨率模式,但OCT图像存在一些伪影,导致对组织结构的误解。因此,概述减轻皮肤OCT成像中伪影的方法至关重要。斑点、强度衰减和模糊是OCT图像中的三种主要伪影。散斑是由于OCT配置中使用的低相干光源造成的。强度衰减是光线相对于深度的退化,而模糊是光学元件缺陷的结果。方法:两种散斑抑制方法(一个基于人工神经网络,一个基于空间复合),描述了衰减补偿算法(基于比尔-兰伯特定律)和去模糊过程(使用反卷积)。此外,光学特性提取算法的基础上扩展的惠更斯-菲涅耳(EHF)原则,以获得一些额外的信息从OCT images.Results:在这个简短的概述,我们总结了一些图像增强算法的OCT图像,解决上述文物。结果显示,图像中临床相关特征的可见性显著改善。使用几种数值评估指标来评估质量改进。结论:临床皮肤科医生受益于使用这些图像增强算法来改善OCT诊断,并且本质上起到无创光学活检的作用。
Background: Optical coherence tomography (OCT) of skin delivers three-dimensional images of tissue microstructures. Although OCT imaging offers a promising high-resolution modality, OCT images suffer from some artifacts that lead to misinterpretation of tissue structures. Therefore, an overview of methods to mitigate artifacts in OCT imaging of the skin is of paramount importance. Speckle, intensity decay, and blurring are three major artifacts in OCT images. Speckle is due to the low coherent light source used in the configuration of OCT. Intensity decay is a deterioration of light with respect to depth, and blurring is the consequence of deficiencies of optical components.Method: Two speckle reduction methods (one based on artificial neural network and one based on spatial compounding), an attenuation compensation algorithm (based on Beer-Lambert law) and a deblurring procedure (using deconvolution), are described. Moreover, optical properties extraction algorithm based on extended Huygens-Fresnel (EHF) principle to obtain some additional information from OCT images are discussed.Results: In this short overview, we summarize some of the image enhancement algorithms for OCT images which address the abovementioned artifacts. The results showed a significant improvement in the visibility of the clinically relevant features in the images. The quality improvement was evaluated using several numerical assessment measures.Conclusion: Clinical dermatologists benefit from using these image enhancement algorithms to improve OCT diagnosis and essentially function as a noninvasive optical biopsy.