Visible-light optical coherence tomography-based multimodal system for quantitative fundus autofluorescence imaging

被引:5
|
作者
Nafar, Zahra [1 ]
Wen, Rong [2 ]
Jiao, Shuliang [1 ]
机构
[1] Florida Int Univ, Dept Biomed Engn, Miami, FL 33174 USA
[2] Univ Miami, Bascom Palmer Eye Inst, Miller Sch Med, Miami, FL 33136 USA
关键词
Visible-light optical coherence tomography; retinal pigment epithelium lipofuscin; fluorescence quantification; fundus autofluorescence imaging; retinal imaging; multimodal imaging; SCANNING LASER POLARIMETRY; MACULAR DEGENERATION; CORNEAL COMPENSATION; GEOGRAPHIC ATROPHY; GLOBAL PREVALENCE; INDUCED DAMAGE; AGE; LIPOFUSCIN; PIGMENT; GLAUCOMA;
D O I
10.1177/1535370218813529
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Fundus autofluorescence (FAF) imaging is commonly used in ophthalmic clinics for diagnosis and monitoring of retinal diseases. Lipofuscin in the retinal pigment epithelium (RPE), with A2E as its most abundant component and a visual cycle by-product, is the major fluorophore of FAF. Lipofuscin accumulates with age and is implicated in degenerative retinal diseases. The amount of lipofuscin in RPE can be assessed by quantitative measurement of FAF. However, the currently available FAF imaging technologies are not capable of quantifying the absolute intensity of FAF, which is essential for comparing images from different individuals, and from the same individual over time. One major technical difficulty is to compensate the signal attenuation by ocular media anterior to the RPE (pre-RPE media). FAF intensity is also influenced by fluctuations in imaging conditions such as illumination power and detector sensitivity, all of which need to be compensated. In this review, we present the concept and research progress of using visible-light optical coherence tomography-based simultaneous multimodal retinal imaging to compensate signal attenuation by pre-RPE media and the influence of parameters of the acquisition system for accurate measurement of FAF intensities.
引用
收藏
页码:1265 / 1274
页数:10
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