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不同成像方式在糖尿病性黄斑水肿诊断中的应用:综述

Application of different imaging modalities for diagnosis of Diabetic Macular Edema: A review.

作者信息

Mookiah Muthu Rama Krishnan, Acharya U Rajendra, Fujita Hamido, Tan Jen Hong, Chua Chua Kuang, Bhandary Sulatha V, Laude Augustinus, Tong Louis

机构信息

Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489, Singapore.

Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, 599489, Singapore; Department of Biomedical Engineering, School of Science and Technology, SIM University, 599491, Singapore; Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia.

出版信息

Comput Biol Med. 2015 Nov 1;66:295-315. doi: 10.1016/j.compbiomed.2015.09.012. Epub 2015 Sep 25.

Abstract

Diabetic Macular Edema (DME) is caused by accumulation of extracellular fluid from hyperpermeable capillaries within the macula. DME is one of the leading causes of blindness among Diabetes Mellitus (DM) patients. Early detection followed by laser photocoagulation can save the visual loss. This review discusses various imaging modalities viz. biomicroscopy, Fluorescein Angiography (FA), Optical Coherence Tomography (OCT) and colour fundus photographs used for diagnosis of DME. Various automated DME grading systems using retinal fundus images, associated retinal image processing techniques for fovea, exudate detection and segmentation are presented. We have also compared various imaging modalities and automated screening methods used for DME grading. The reviewed literature indicates that FA and OCT identify DME related changes accurately. FA is an invasive method, which uses fluorescein dye, and OCT is an expensive imaging method compared to fundus photographs. Moreover, using fundus images DME can be identified and automated. DME grading algorithms can be implemented for telescreening. Hence, fundus imaging based DME grading is more suitable and affordable method compared to biomicroscopy, FA, and OCT modalities.

摘要

糖尿病性黄斑水肿(DME)是由黄斑区内高渗透性毛细血管的细胞外液积聚所致。DME是糖尿病(DM)患者失明的主要原因之一。早期检测并随后进行激光光凝可以避免视力丧失。本综述讨论了用于诊断DME的各种成像方式,即生物显微镜检查、荧光素血管造影(FA)、光学相干断层扫描(OCT)和彩色眼底照片。介绍了各种使用视网膜眼底图像的自动DME分级系统,以及用于中央凹、渗出物检测和分割的相关视网膜图像处理技术。我们还比较了用于DME分级的各种成像方式和自动筛查方法。综述文献表明,FA和OCT能准确识别与DME相关的变化。FA是一种侵入性方法,使用荧光素染料,与眼底照片相比,OCT是一种昂贵的成像方法。此外,利用眼底图像可以识别DME并实现自动化。DME分级算法可用于远程筛查。因此,与生物显微镜检查、FA和OCT方式相比,基于眼底成像的DME分级是更合适且经济实惠的方法。

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