oct血管造影对小鼠视网膜神经元和血管结构的无创监测:视网膜神经血管耦合表征的意义。

EC ophthalmology Pub Date : 2017-01-01 Epub Date: 2017-02-21
Wei Liu, Jonathan Luisi, Hua Liu, Massoud Motamedi, Wenbo Zhang
{"title":"oct血管造影对小鼠视网膜神经元和血管结构的无创监测:视网膜神经血管耦合表征的意义。","authors":"Wei Liu,&nbsp;Jonathan Luisi,&nbsp;Hua Liu,&nbsp;Massoud Motamedi,&nbsp;Wenbo Zhang","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Optical coherence tomography angiography (OCT-A) is a newly developed technique to visualize retinal vasculature non-invasively based on interferometry. Although OCT-A has been used clinically, its applications in small animal studies have been limited. This study is designed to develop and demonstrate the feasibility of a protocol for the use of an en-face OCT-based method to visualize and quantify retinal microvasculature in mice that can be used for <i>in vivo</i> assessment of retina ischemia.</p><p><strong>Methods: </strong>A customized algorithm was developed to extract angiographic profiles of the mouse retina from en-face OCT using an unmodified Bioptigen Envisu R-Class OCT imaging system. En-face OCT images were collected in living animals and then compared to images acquired following termination of blood flow to the retina. The images were processed with ImageJ using the raw file importer. The vessel enhancement algorithm was developed based on a combination of local contrast enhancement, Laplacian of Gaussian peak detection and background subtraction methods. For comparison, fluorescein angiography (FA) was performed using Heidelberg Spectralis<sup>®</sup> HRA+OCT imaging system.</p><p><strong>Results: </strong>By vessel enhancement algorithm, we successfully extracted retinal vasculature and quantified retinal vessel branch points, vascular area and vessel lengths with AngioTool. While the retinal neuronal structure could be simultaneously identified and quantified using B-scan and volumetric OCT run in the annular scanning model, the retinal vasculature in OCT-A was dramatically diminished after the animals were sacrificed, indicating en-face OCT-A signal is a measure of the blood flow.</p><p><strong>Conclusions: </strong>These studies indicate that a novel approach to extract angiographs from en-face OCT images by utilizing local structure enhancement can be used to provide depth-resolved retinal vasculature distributions. Simultaneous non-invasive analysis of retinal vessels and neurons by OCT-A and OCT may provide a novel approach to characterize retinal ischemia accompanied by neurovascular coupling.</p>","PeriodicalId":72861,"journal":{"name":"EC ophthalmology","volume":"5 3","pages":"89-98"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5766278/pdf/nihms865893.pdf","citationCount":"0","resultStr":"{\"title\":\"OCT-Angiography for Non-Invasive Monitoring of Neuronal and Vascular Structure in Mouse Retina: Implication for Characterization of Retinal Neurovascular Coupling.\",\"authors\":\"Wei Liu,&nbsp;Jonathan Luisi,&nbsp;Hua Liu,&nbsp;Massoud Motamedi,&nbsp;Wenbo Zhang\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Optical coherence tomography angiography (OCT-A) is a newly developed technique to visualize retinal vasculature non-invasively based on interferometry. Although OCT-A has been used clinically, its applications in small animal studies have been limited. This study is designed to develop and demonstrate the feasibility of a protocol for the use of an en-face OCT-based method to visualize and quantify retinal microvasculature in mice that can be used for <i>in vivo</i> assessment of retina ischemia.</p><p><strong>Methods: </strong>A customized algorithm was developed to extract angiographic profiles of the mouse retina from en-face OCT using an unmodified Bioptigen Envisu R-Class OCT imaging system. En-face OCT images were collected in living animals and then compared to images acquired following termination of blood flow to the retina. The images were processed with ImageJ using the raw file importer. The vessel enhancement algorithm was developed based on a combination of local contrast enhancement, Laplacian of Gaussian peak detection and background subtraction methods. For comparison, fluorescein angiography (FA) was performed using Heidelberg Spectralis<sup>®</sup> HRA+OCT imaging system.</p><p><strong>Results: </strong>By vessel enhancement algorithm, we successfully extracted retinal vasculature and quantified retinal vessel branch points, vascular area and vessel lengths with AngioTool. While the retinal neuronal structure could be simultaneously identified and quantified using B-scan and volumetric OCT run in the annular scanning model, the retinal vasculature in OCT-A was dramatically diminished after the animals were sacrificed, indicating en-face OCT-A signal is a measure of the blood flow.</p><p><strong>Conclusions: </strong>These studies indicate that a novel approach to extract angiographs from en-face OCT images by utilizing local structure enhancement can be used to provide depth-resolved retinal vasculature distributions. Simultaneous non-invasive analysis of retinal vessels and neurons by OCT-A and OCT may provide a novel approach to characterize retinal ischemia accompanied by neurovascular coupling.</p>\",\"PeriodicalId\":72861,\"journal\":{\"name\":\"EC ophthalmology\",\"volume\":\"5 3\",\"pages\":\"89-98\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5766278/pdf/nihms865893.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EC ophthalmology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2017/2/21 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EC ophthalmology","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2017/2/21 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

目的:光学相干断层血管造影(OCT-A)是一种基于干涉术的无创视网膜血管成像技术。虽然OCT-A已在临床上使用,但其在小动物研究中的应用有限。本研究旨在开发和证明一种方案的可行性,该方案使用基于oct的正面方法来可视化和量化小鼠视网膜微血管,可用于视网膜缺血的体内评估。方法:开发了一种定制算法,使用未经修改的Bioptigen Envisu r级OCT成像系统从正面OCT提取小鼠视网膜的血管造影剖面。收集活体动物的正面OCT图像,然后与血液流向视网膜终止后获得的图像进行比较。使用原始文件导入器使用ImageJ处理图像。血管增强算法是将局部对比度增强、拉普拉斯高斯峰值检测和背景减法相结合的方法。为了比较,荧光素血管造影(FA)使用海德堡Spectralis®HRA+OCT成像系统进行。结果:通过血管增强算法,成功提取视网膜血管,并利用AngioTool对视网膜血管分支点、血管面积和血管长度进行量化。虽然在环形扫描模型中使用b扫描和体积OCT可以同时识别和量化视网膜神经元结构,但在动物牺牲后,OCT- a中的视网膜血管系统显着减少,表明正面OCT- a信号是血流量的量度。结论:这些研究表明,利用局部结构增强从正面OCT图像中提取血管造影的新方法可用于提供深度分辨率的视网膜血管分布。OCT- a和OCT同时对视网膜血管和神经元进行无创分析,可能为表征伴有神经血管耦合的视网膜缺血提供一种新的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

OCT-Angiography for Non-Invasive Monitoring of Neuronal and Vascular Structure in Mouse Retina: Implication for Characterization of Retinal Neurovascular Coupling.

OCT-Angiography for Non-Invasive Monitoring of Neuronal and Vascular Structure in Mouse Retina: Implication for Characterization of Retinal Neurovascular Coupling.

OCT-Angiography for Non-Invasive Monitoring of Neuronal and Vascular Structure in Mouse Retina: Implication for Characterization of Retinal Neurovascular Coupling.

Purpose: Optical coherence tomography angiography (OCT-A) is a newly developed technique to visualize retinal vasculature non-invasively based on interferometry. Although OCT-A has been used clinically, its applications in small animal studies have been limited. This study is designed to develop and demonstrate the feasibility of a protocol for the use of an en-face OCT-based method to visualize and quantify retinal microvasculature in mice that can be used for in vivo assessment of retina ischemia.

Methods: A customized algorithm was developed to extract angiographic profiles of the mouse retina from en-face OCT using an unmodified Bioptigen Envisu R-Class OCT imaging system. En-face OCT images were collected in living animals and then compared to images acquired following termination of blood flow to the retina. The images were processed with ImageJ using the raw file importer. The vessel enhancement algorithm was developed based on a combination of local contrast enhancement, Laplacian of Gaussian peak detection and background subtraction methods. For comparison, fluorescein angiography (FA) was performed using Heidelberg Spectralis® HRA+OCT imaging system.

Results: By vessel enhancement algorithm, we successfully extracted retinal vasculature and quantified retinal vessel branch points, vascular area and vessel lengths with AngioTool. While the retinal neuronal structure could be simultaneously identified and quantified using B-scan and volumetric OCT run in the annular scanning model, the retinal vasculature in OCT-A was dramatically diminished after the animals were sacrificed, indicating en-face OCT-A signal is a measure of the blood flow.

Conclusions: These studies indicate that a novel approach to extract angiographs from en-face OCT images by utilizing local structure enhancement can be used to provide depth-resolved retinal vasculature distributions. Simultaneous non-invasive analysis of retinal vessels and neurons by OCT-A and OCT may provide a novel approach to characterize retinal ischemia accompanied by neurovascular coupling.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信