Quantification of retinal blood leakage in fundus fluorescein angiography in a retinal angiogenesis model

Abstract Blood leakage from the vessels in the eye is the hallmark of many vascular eye diseases. One of the preclinical mouse models of retinal blood leakage, the very-low-density-lipoprotein receptor deficient mouse (Vldlr −/− ), is used for drug screening and mechanistic studies. Vessel leakage i...

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Autores principales:	Cesar H. Comin, Demetrios I. Tsirukis, Ye Sun, Xiaoyin Xu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/61190a78e37947448e173dad582755c7
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spelling	oai:doaj.org-article:61190a78e37947448e173dad582755c72021-12-02T18:37:10ZQuantification of retinal blood leakage in fundus fluorescein angiography in a retinal angiogenesis model10.1038/s41598-021-99434-22045-2322https://doaj.org/article/61190a78e37947448e173dad582755c72021-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-99434-2https://doaj.org/toc/2045-2322Abstract Blood leakage from the vessels in the eye is the hallmark of many vascular eye diseases. One of the preclinical mouse models of retinal blood leakage, the very-low-density-lipoprotein receptor deficient mouse (Vldlr −/− ), is used for drug screening and mechanistic studies. Vessel leakage is usually examined using Fundus fluorescein angiography (FFA). However, interpreting FFA images of the Vldlr −/− model is challenging as no automated and objective techniques exist for this model. A pipeline has been developed for quantifying leakage intensity and area including three tasks: (i) blood leakage identification, (ii) blood vessel segmentation, and (iii) image registration. Morphological operations followed by log-Gabor quadrature filters were used to identify leakage regions. In addition, a novel optic disk detection algorithm based on graph analysis was developed for registering the images at different timepoints. Blood leakage intensity and area measured by the methodology were compared to ground truth quantifications produced by two annotators. The relative difference between the quantifications from the method and those obtained from ground truth images was around 10% ± 6% for leakage intensity and 17% ± 8% for leakage region. The Pearson correlation coefficient between the method results and the ground truth was around 0.98 for leakage intensity and 0.94 for leakage region. Therefore, we presented a computational method for quantifying retinal vascular leakage and vessels using FFA in a preclinical angiogenesis model, the Vldlr −/− model.Cesar H. CominDemetrios I. TsirukisYe SunXiaoyin XuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Cesar H. Comin Demetrios I. Tsirukis Ye Sun Xiaoyin Xu Quantification of retinal blood leakage in fundus fluorescein angiography in a retinal angiogenesis model
description	Abstract Blood leakage from the vessels in the eye is the hallmark of many vascular eye diseases. One of the preclinical mouse models of retinal blood leakage, the very-low-density-lipoprotein receptor deficient mouse (Vldlr −/− ), is used for drug screening and mechanistic studies. Vessel leakage is usually examined using Fundus fluorescein angiography (FFA). However, interpreting FFA images of the Vldlr −/− model is challenging as no automated and objective techniques exist for this model. A pipeline has been developed for quantifying leakage intensity and area including three tasks: (i) blood leakage identification, (ii) blood vessel segmentation, and (iii) image registration. Morphological operations followed by log-Gabor quadrature filters were used to identify leakage regions. In addition, a novel optic disk detection algorithm based on graph analysis was developed for registering the images at different timepoints. Blood leakage intensity and area measured by the methodology were compared to ground truth quantifications produced by two annotators. The relative difference between the quantifications from the method and those obtained from ground truth images was around 10% ± 6% for leakage intensity and 17% ± 8% for leakage region. The Pearson correlation coefficient between the method results and the ground truth was around 0.98 for leakage intensity and 0.94 for leakage region. Therefore, we presented a computational method for quantifying retinal vascular leakage and vessels using FFA in a preclinical angiogenesis model, the Vldlr −/− model.
format	article
author	Cesar H. Comin Demetrios I. Tsirukis Ye Sun Xiaoyin Xu
author_facet	Cesar H. Comin Demetrios I. Tsirukis Ye Sun Xiaoyin Xu
author_sort	Cesar H. Comin
title	Quantification of retinal blood leakage in fundus fluorescein angiography in a retinal angiogenesis model
title_short	Quantification of retinal blood leakage in fundus fluorescein angiography in a retinal angiogenesis model
title_full	Quantification of retinal blood leakage in fundus fluorescein angiography in a retinal angiogenesis model
title_fullStr	Quantification of retinal blood leakage in fundus fluorescein angiography in a retinal angiogenesis model
title_full_unstemmed	Quantification of retinal blood leakage in fundus fluorescein angiography in a retinal angiogenesis model
title_sort	quantification of retinal blood leakage in fundus fluorescein angiography in a retinal angiogenesis model
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/61190a78e37947448e173dad582755c7
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_version_	1718377801328885760

Quantification of retinal blood leakage in fundus fluorescein angiography in a retinal angiogenesis model

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