OCTA-ReVA:用于光学相干断层血管造影中视网膜血管特征综合分析的开源工具箱。

IF 2.9 2区 医学 Q2 BIOCHEMICAL RESEARCH METHODS Biomedical optics express Pub Date : 2024-09-25 eCollection Date: 2024-10-01 DOI:10.1364/BOE.537727
Albert K Dadzie, David Le, Mansour Abtahi, Behrouz Ebrahimi, Tobiloba Adejumo, Taeyoon Son, Michael J Heiferman, Jennifer I Lim, Xincheng Yao
{"title":"OCTA-ReVA:用于光学相干断层血管造影中视网膜血管特征综合分析的开源工具箱。","authors":"Albert K Dadzie, David Le, Mansour Abtahi, Behrouz Ebrahimi, Tobiloba Adejumo, Taeyoon Son, Michael J Heiferman, Jennifer I Lim, Xincheng Yao","doi":"10.1364/BOE.537727","DOIUrl":null,"url":null,"abstract":"<p><p>Optical coherence tomography angiography (OCTA) has significantly advanced the study and diagnosis of eye diseases. However, current clinical OCTA systems and software tools lack comprehensive quantitative analysis capabilities, limiting their full clinical utility. This paper introduces the OCTA Retinal Vessel Analyzer (OCTA-ReVA), a versatile open-source platform featuring a user-friendly graphical interface designed for the automated extraction and quantitative analysis of OCTA features. OCTA-ReVA includes traditional established OCTA features based on binary vascular image processing, such as blood vessel density (BVD), foveal avascular zone area (FAZ-A), blood vessel tortuosity (BVT), and blood vessel caliber (BVC). Additionally, it introduces new features based on blood perfusion intensity processing, such as perfusion intensity density (PID), vessel area flux (VAF), and normalized blood flow index (NBFI), which provide deeper insights into retinal perfusion conditions. These additional capabilities are crucial for the early detection and monitoring of retinal diseases. OCTA-ReVA demystifies the intricate task of retinal vasculature quantification, offering a robust tool for researchers and clinicians to objectively evaluate eye diseases and enhance the precision of retinal health assessments.</p>","PeriodicalId":8969,"journal":{"name":"Biomedical optics express","volume":"15 10","pages":"6010-6023"},"PeriodicalIF":2.9000,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11482184/pdf/","citationCount":"0","resultStr":"{\"title\":\"OCTA-ReVA: an open-source toolbox for comprehensive retinal vessel feature analysis in optical coherence tomography angiography.\",\"authors\":\"Albert K Dadzie, David Le, Mansour Abtahi, Behrouz Ebrahimi, Tobiloba Adejumo, Taeyoon Son, Michael J Heiferman, Jennifer I Lim, Xincheng Yao\",\"doi\":\"10.1364/BOE.537727\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Optical coherence tomography angiography (OCTA) has significantly advanced the study and diagnosis of eye diseases. However, current clinical OCTA systems and software tools lack comprehensive quantitative analysis capabilities, limiting their full clinical utility. This paper introduces the OCTA Retinal Vessel Analyzer (OCTA-ReVA), a versatile open-source platform featuring a user-friendly graphical interface designed for the automated extraction and quantitative analysis of OCTA features. OCTA-ReVA includes traditional established OCTA features based on binary vascular image processing, such as blood vessel density (BVD), foveal avascular zone area (FAZ-A), blood vessel tortuosity (BVT), and blood vessel caliber (BVC). Additionally, it introduces new features based on blood perfusion intensity processing, such as perfusion intensity density (PID), vessel area flux (VAF), and normalized blood flow index (NBFI), which provide deeper insights into retinal perfusion conditions. These additional capabilities are crucial for the early detection and monitoring of retinal diseases. OCTA-ReVA demystifies the intricate task of retinal vasculature quantification, offering a robust tool for researchers and clinicians to objectively evaluate eye diseases and enhance the precision of retinal health assessments.</p>\",\"PeriodicalId\":8969,\"journal\":{\"name\":\"Biomedical optics express\",\"volume\":\"15 10\",\"pages\":\"6010-6023\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11482184/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomedical optics express\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1364/BOE.537727\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/10/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical optics express","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1364/BOE.537727","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

摘要

光学相干断层血管成像(OCTA)极大地推动了眼科疾病的研究和诊断。然而,目前的临床 OCTA 系统和软件工具缺乏全面的定量分析能力,限制了其临床应用的充分发挥。本文介绍了 OCTA 视网膜血管分析仪(OCTA-ReVA),这是一个多功能开源平台,具有用户友好的图形界面,专为自动提取和定量分析 OCTA 特征而设计。OCTA-ReVA 包括基于二元血管图像处理的传统 OCTA 特征,如血管密度 (BVD)、眼窝无血管区面积 (FAZ-A)、血管迂曲度 (BVT) 和血管口径 (BVC)。此外,它还引入了基于血液灌注强度处理的新功能,如灌注强度密度 (PID)、血管面积通量 (VAF) 和归一化血流指数 (NBFI),从而更深入地了解视网膜灌注状况。这些附加功能对于早期检测和监测视网膜疾病至关重要。OCTA-ReVA 揭开了视网膜血管量化这一复杂任务的神秘面纱,为研究人员和临床医生客观评估眼部疾病和提高视网膜健康评估的精确度提供了强有力的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
OCTA-ReVA: an open-source toolbox for comprehensive retinal vessel feature analysis in optical coherence tomography angiography.

Optical coherence tomography angiography (OCTA) has significantly advanced the study and diagnosis of eye diseases. However, current clinical OCTA systems and software tools lack comprehensive quantitative analysis capabilities, limiting their full clinical utility. This paper introduces the OCTA Retinal Vessel Analyzer (OCTA-ReVA), a versatile open-source platform featuring a user-friendly graphical interface designed for the automated extraction and quantitative analysis of OCTA features. OCTA-ReVA includes traditional established OCTA features based on binary vascular image processing, such as blood vessel density (BVD), foveal avascular zone area (FAZ-A), blood vessel tortuosity (BVT), and blood vessel caliber (BVC). Additionally, it introduces new features based on blood perfusion intensity processing, such as perfusion intensity density (PID), vessel area flux (VAF), and normalized blood flow index (NBFI), which provide deeper insights into retinal perfusion conditions. These additional capabilities are crucial for the early detection and monitoring of retinal diseases. OCTA-ReVA demystifies the intricate task of retinal vasculature quantification, offering a robust tool for researchers and clinicians to objectively evaluate eye diseases and enhance the precision of retinal health assessments.

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
Biomedical optics express
Biomedical optics express BIOCHEMICAL RESEARCH METHODS-OPTICS
CiteScore
6.80
自引率
11.80%
发文量
633
审稿时长
1 months
期刊介绍: The journal''s scope encompasses fundamental research, technology development, biomedical studies and clinical applications. BOEx focuses on the leading edge topics in the field, including: Tissue optics and spectroscopy Novel microscopies Optical coherence tomography Diffuse and fluorescence tomography Photoacoustic and multimodal imaging Molecular imaging and therapies Nanophotonic biosensing Optical biophysics/photobiology Microfluidic optical devices Vision research.
期刊最新文献
Super resolution reconstruction of fluorescence microscopy images by a convolutional network with physical priors. Physics-guided deep learning-based real-time image reconstruction of Fourier-domain optical coherence tomography. On bench evaluation of intraocular lenses: performance of a commercial interferometer. Predictive coding compressive sensing optical coherence tomography hardware implementation. Development of silicone-based phantoms for biomedical optics from 400 to 1550 nm.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1