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Objective Detection of Retinal Vessel Pulsation

PURPOSE: Retinal venous pulsation detection is a subjective sign, which varies in elevated intracranial pressure, venous obstruction and glaucoma. To date no method can objectively measure and identify pulsating regions. METHOD: Using high resolution video-recordings of the optic disk and retina we...

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Autores principales: Morgan, William H., Abdul-Rahman, Anmar, Yu, Dao-Yi, Hazelton, Martin L., Betz-Stablein, Brigid, Lind, Christopher R. P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4314073/
https://www.ncbi.nlm.nih.gov/pubmed/25643350
http://dx.doi.org/10.1371/journal.pone.0116475
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author Morgan, William H.
Abdul-Rahman, Anmar
Yu, Dao-Yi
Hazelton, Martin L.
Betz-Stablein, Brigid
Lind, Christopher R. P.
author_facet Morgan, William H.
Abdul-Rahman, Anmar
Yu, Dao-Yi
Hazelton, Martin L.
Betz-Stablein, Brigid
Lind, Christopher R. P.
author_sort Morgan, William H.
collection PubMed
description PURPOSE: Retinal venous pulsation detection is a subjective sign, which varies in elevated intracranial pressure, venous obstruction and glaucoma. To date no method can objectively measure and identify pulsating regions. METHOD: Using high resolution video-recordings of the optic disk and retina we measured fluctuating light absorption by haemoglobin during pulsation. Pulsation amplitude was calculated from all regions of the retinal image video-frames in a raster pattern. Segmented retinal images were formed by objectively selecting regions with amplitudes above a range of threshold values. These were compared to two observers manually drawing an outline of the pulsating areas while viewing video-clips in order to generate receiver operator characteristics. RESULTS: 216,515 image segments were analysed from 26 eyes in 18 research participants. Using data from each eye, the median area under the receiver operator curve (AU-ROC) was 0.95. With all data analysed together the AU-ROC was 0.89. We defined the ideal threshold amplitude for detection of any pulsating segment being that with maximal sensitivity and specificity. This was 5 units (95% confidence interval 4.3 to 6.0) compared to 12 units before any regions were missed. A multivariate model demonstrated that ideal threshold amplitude increased with increased variation in video-sequence illumination (p = 0.0119), but between the two observers (p = 0.0919) or other variables. CONCLUSION: This technique demonstrates accurate identification of retinal vessel pulsating regions with no areas identified manually being missed with the objective technique. The amplitude values are derived objectively and may be a significant advance upon subjective ophthalmodynamometric threshold techniques.
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spelling pubmed-43140732015-02-13 Objective Detection of Retinal Vessel Pulsation Morgan, William H. Abdul-Rahman, Anmar Yu, Dao-Yi Hazelton, Martin L. Betz-Stablein, Brigid Lind, Christopher R. P. PLoS One Research Article PURPOSE: Retinal venous pulsation detection is a subjective sign, which varies in elevated intracranial pressure, venous obstruction and glaucoma. To date no method can objectively measure and identify pulsating regions. METHOD: Using high resolution video-recordings of the optic disk and retina we measured fluctuating light absorption by haemoglobin during pulsation. Pulsation amplitude was calculated from all regions of the retinal image video-frames in a raster pattern. Segmented retinal images were formed by objectively selecting regions with amplitudes above a range of threshold values. These were compared to two observers manually drawing an outline of the pulsating areas while viewing video-clips in order to generate receiver operator characteristics. RESULTS: 216,515 image segments were analysed from 26 eyes in 18 research participants. Using data from each eye, the median area under the receiver operator curve (AU-ROC) was 0.95. With all data analysed together the AU-ROC was 0.89. We defined the ideal threshold amplitude for detection of any pulsating segment being that with maximal sensitivity and specificity. This was 5 units (95% confidence interval 4.3 to 6.0) compared to 12 units before any regions were missed. A multivariate model demonstrated that ideal threshold amplitude increased with increased variation in video-sequence illumination (p = 0.0119), but between the two observers (p = 0.0919) or other variables. CONCLUSION: This technique demonstrates accurate identification of retinal vessel pulsating regions with no areas identified manually being missed with the objective technique. The amplitude values are derived objectively and may be a significant advance upon subjective ophthalmodynamometric threshold techniques. Public Library of Science 2015-02-02 /pmc/articles/PMC4314073/ /pubmed/25643350 http://dx.doi.org/10.1371/journal.pone.0116475 Text en © 2015 Morgan et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Morgan, William H.
Abdul-Rahman, Anmar
Yu, Dao-Yi
Hazelton, Martin L.
Betz-Stablein, Brigid
Lind, Christopher R. P.
Objective Detection of Retinal Vessel Pulsation
title Objective Detection of Retinal Vessel Pulsation
title_full Objective Detection of Retinal Vessel Pulsation
title_fullStr Objective Detection of Retinal Vessel Pulsation
title_full_unstemmed Objective Detection of Retinal Vessel Pulsation
title_short Objective Detection of Retinal Vessel Pulsation
title_sort objective detection of retinal vessel pulsation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4314073/
https://www.ncbi.nlm.nih.gov/pubmed/25643350
http://dx.doi.org/10.1371/journal.pone.0116475
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