New Parametric Imaging Method with Fluorescein Angiograms for Detecting Areas of Capillary Nonperfusion

ObjectivesFluorescein angiography (FAG) is currently the most useful diagnostic modality for examining retinal circulation, and it is frequently used for the evaluation of patients with diabetic retinopathy, occlusive diseases, such as retinal venous and arterial occlusions, and wet macular degenera...

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Main Authors: Young Jae Kim, Chang Bu Jeong, Jeong-Min Hwang, Hee Kyung Yang, Seung Hyun Lee, Kwang Gi Kim
Format: Article
Language:English
Published: The Korean Society of Medical Informatics 2014-07-01
Series:Healthcare Informatics Research
Subjects:
Online Access:http://e-hir.org/upload/pdf/hir-20-191.pdf
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author Young Jae Kim
Chang Bu Jeong
Jeong-Min Hwang
Hee Kyung Yang
Seung Hyun Lee
Kwang Gi Kim
author_facet Young Jae Kim
Chang Bu Jeong
Jeong-Min Hwang
Hee Kyung Yang
Seung Hyun Lee
Kwang Gi Kim
author_sort Young Jae Kim
collection DOAJ
description ObjectivesFluorescein angiography (FAG) is currently the most useful diagnostic modality for examining retinal circulation, and it is frequently used for the evaluation of patients with diabetic retinopathy, occlusive diseases, such as retinal venous and arterial occlusions, and wet macular degeneration. This paper presents a method for objectively evaluating retinal circulation by quantifying circulation-related parameters.MethodsThis method allows the semiautomatic preprocessing and registering of FAG images. The arterial input function is estimated from the registered set of FAG images using gamma-variate fitting. Then, the parameters can be computed by deconvolution on the basis of truncated singular value decomposition, and they can finally be presented as parametric color images in a combination of three colors, red, green, and blue.ResultsAfter the estimation of arterial input function, the parameters of relative blood flow and mean transit time were computed using deconvolution analysis based on truncated singular value decomposition.ConclusionsThe parametric color image is helpful to interpret the status of retinal blood circulation and provides quantitative data on retina ischemia without interobserver variability. This system easily provides the status of retinal blood circulation both qualitatively and quantitatively. It also helps to standardize FAG interpretation and may contribute to network-based telemedicine systems in the future.
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spelling doaj.art-82eb7e2e45394865b391601f0dc5f9102022-12-21T19:23:25ZengThe Korean Society of Medical InformaticsHealthcare Informatics Research2093-36812093-369X2014-07-0120319119810.4258/hir.2014.20.3.191733New Parametric Imaging Method with Fluorescein Angiograms for Detecting Areas of Capillary NonperfusionYoung Jae Kim0Chang Bu Jeong1Jeong-Min Hwang2Hee Kyung Yang3Seung Hyun Lee4Kwang Gi Kim5Biomedical Engineering Branch, Division of Convergence Technology, Research Institute, National Cancer Center, Goyang, Korea.Biomedical Engineering Branch, Division of Convergence Technology, Research Institute, National Cancer Center, Goyang, Korea.Department of Ophthalmology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.Department of Ophthalmology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.Department of Plasma Bio Display, Kwangwoon Universiy, Seoul, Korea.Biomedical Engineering Branch, Division of Convergence Technology, Research Institute, National Cancer Center, Goyang, Korea.ObjectivesFluorescein angiography (FAG) is currently the most useful diagnostic modality for examining retinal circulation, and it is frequently used for the evaluation of patients with diabetic retinopathy, occlusive diseases, such as retinal venous and arterial occlusions, and wet macular degeneration. This paper presents a method for objectively evaluating retinal circulation by quantifying circulation-related parameters.MethodsThis method allows the semiautomatic preprocessing and registering of FAG images. The arterial input function is estimated from the registered set of FAG images using gamma-variate fitting. Then, the parameters can be computed by deconvolution on the basis of truncated singular value decomposition, and they can finally be presented as parametric color images in a combination of three colors, red, green, and blue.ResultsAfter the estimation of arterial input function, the parameters of relative blood flow and mean transit time were computed using deconvolution analysis based on truncated singular value decomposition.ConclusionsThe parametric color image is helpful to interpret the status of retinal blood circulation and provides quantitative data on retina ischemia without interobserver variability. This system easily provides the status of retinal blood circulation both qualitatively and quantitatively. It also helps to standardize FAG interpretation and may contribute to network-based telemedicine systems in the future.http://e-hir.org/upload/pdf/hir-20-191.pdffluorescein angiographyophthalmologyeye diseasecomputer-assisted diagnosisbiomedical engineering
spellingShingle Young Jae Kim
Chang Bu Jeong
Jeong-Min Hwang
Hee Kyung Yang
Seung Hyun Lee
Kwang Gi Kim
New Parametric Imaging Method with Fluorescein Angiograms for Detecting Areas of Capillary Nonperfusion
Healthcare Informatics Research
fluorescein angiography
ophthalmology
eye disease
computer-assisted diagnosis
biomedical engineering
title New Parametric Imaging Method with Fluorescein Angiograms for Detecting Areas of Capillary Nonperfusion
title_full New Parametric Imaging Method with Fluorescein Angiograms for Detecting Areas of Capillary Nonperfusion
title_fullStr New Parametric Imaging Method with Fluorescein Angiograms for Detecting Areas of Capillary Nonperfusion
title_full_unstemmed New Parametric Imaging Method with Fluorescein Angiograms for Detecting Areas of Capillary Nonperfusion
title_short New Parametric Imaging Method with Fluorescein Angiograms for Detecting Areas of Capillary Nonperfusion
title_sort new parametric imaging method with fluorescein angiograms for detecting areas of capillary nonperfusion
topic fluorescein angiography
ophthalmology
eye disease
computer-assisted diagnosis
biomedical engineering
url http://e-hir.org/upload/pdf/hir-20-191.pdf
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