On the relevance of the 3D retinal vascular network from OCT data

P. Serranho; P. Guimarães; P. Rodrigues; R. Bernardes

doi:10.2478/bile-2013-0007

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On the relevance of the 3D retinal vascular network from OCT data

Biometrical Letters

Volume 49 (2012): Issue 2 (December 2012)

By: P. Serranho, P. Guimarães, P. Rodrigues and R. Bernardes

Open Access

|Aug 2013

Abstract

Abnormal patterns of the retinal vascular system have been associated with several heart and cerebral diseases. However, these correlations were obtained using 2D imaging of the eye fundus, disregarding information on the third component (depth) of the vascular system. In this paper, we show that the depth component is relevant and should not be disregarded in this analysis. In this way, the relevance of analysis of the retinal vascular network as a biometrical marker for the general health status of an individual can be increased.

References

Bhuiyan A., Nath B., Chua J., Ramamohanarao K. (2007): Automatic Detection of Vascular Bifurcations and Crossovers from Color Retinal Fundus Images, Third International IEEE Conference on Signal-Image Technologies and Internet-Based System: 711-718.10.1109/SITIS.2007.86
Search in Google Scholar
Bullitt E, Gerig G, Pizer S, Aylward S.R. (2003): Measuring Tortuosity of the Intracerebral Vasculature from MRA Images. IEEE-TMI 22(9): 1163-1171.10.1109/TMI.2003.816964243060312956271
Search in Google Scholar
Chen Z., Kai Y., Ge H., Xu Z. (2003): The study on the light absorption and transmission laws of the blood components, Third Intern. Conf. on Photonics and Imaging in Biology and Medicine. Edited by Luo, Qingming; Tuchin, Valery V.; Gu, Min;Wang, Lihong V. Proceedings of the SPIE 5254: 257-261.10.1117/12.546171
Search in Google Scholar
Fabritius T., Makita S., Hong Y., Myllyla R., Yasuno Y. (2009): Automated retinal shadow compensation of optical coherence tomography images, J. Biomed. Opt. 14(1), 010503, doi: 10.1117/1.307620410.1117/1.307620419256685
Search in Google Scholar
Guimarães P., Rodrigues P., Serranho P., Berbardes R. (2012): 3D Retinal Vascular Network from Optical Coherence Tomography Data. Image Analysis and Recognition, Lecture Notes in Computer Science. Image Analysis and Recognition, Springer Berlin/Heidelberg, 7325: 339-346.10.1007/978-3-642-31298-4_40
Search in Google Scholar
Guimarães P., Rodrigues P., Serranho P., Bernardes R. (2012): 3D Retinal Vascular Network from OCT data. ARVO Annual Meeting, May 6-10, 2012, Fort Lauderdale, USA.
Search in Google Scholar
Kiss C.G., Leitgeb R., Michels S., Hermann B., Ahlers C., Povazay B., Sacu S., Sattmann H., Schmidt-Erfurth U., Drexler W. (2005): Retinal Vasculature Imaging Using Three Dimensional Ultra-High Resolution Optical Coherence Tomography.Invest. Ophthalmol. Vis. Sci. 46: E-Abstract 3467
Search in Google Scholar
Kwa, V.I.H., van der Sande J.J., Stam J., Tijmes N., Vrooland J.L. (2002): Retinal arterial changes correlate with cerebral small-vessel disease. Neurology 59: 1536-1540.10.1212/01.WNL.0000033093.16450.5C
Search in Google Scholar
Laatikainen L. (2006): Adverse e ects of uorescein angiography Acta Ophthalmologica Scandinavica 84(6): 720-721.10.1111/j.1600-0420.2006.00776.x17083527
Search in Google Scholar
Parikh A.H., Smith J.K., Ewend M.G., Bullitt E. (2004): Correlation of MR Perfusion Imaging and Vessel Tortuosity Parameters in Assessment of Intracranial Neoplasms. Technology in Cancer Research & Treatment 3(6): 585-590.10.1177/153303460400300608243060015560716
Search in Google Scholar
Patton N., Aslam T, Macgillivray T, Pattie A, Deary IJ, Dhillon B. (2005): Retinal vascular image analysis as a potential screening tool for cerebrovascular disease: a rationale based on homology between cerebral and retinal microvasculatures. J Anat. 206(4): 319-348.10.1111/j.1469-7580.2005.00395.x157148915817102
Search in Google Scholar
Pires I., Bernardes R.C., Lobo C.L., Soares M.A., Cunha-Vaz J.G. (2002): Retinal thickness in eyes with mild nonproliferative retinopathy in patients with type 2 diabetes mellitus. Comparison of measurements obtained by retinal thickness analysis and optical coherence tomography. Arch. Ophthalmol. 120: 1301-1306.10.1001/archopht.120.10.130112365908
Search in Google Scholar
Rodrigues P., Guimar~aes P., Bernardes R., Serranho P. (2012): Vascular Network of the human macula from high-definition OCT. ARVO Annual Meeting, May 6-10, 2012, Fort Lauderdale, USA.
Search in Google Scholar
Truco E., Azegrouz H., Dhillon B. (2010): Modeling the Tortuosity of Retinal Vessels: Does Caliber Play a Role?, IEEE Trans. Biomed Eng. 57(9): 2239-2247.
Search in Google Scholar
Wang X., Cao H., Zhang J. (2005): Analysis of Retinal Images Associated with Hypertension and Diabetes. Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the: 6407-6410.
Search in Google Scholar
Witt N., Wong T.Y., Hughes A.D., Chaturvedi N., Klein B.E., Evans R., McNamara M., McG Thom S.A., Klein R. (2006): Abnormalities of Retinal Microvascular Structure and Risk of Mortality From Ischemic Heart Disease and Stroke. Hypertension 47: 975-981. 10.1161/01.HYP.0000216717.72048.6c16585415
Search in Google Scholar

Articles in this issue

DOI: https://doi.org/10.2478/bile-2013-0007 | Journal eISSN: 2199-577X | Journal ISSN: 1896-3811

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Language: English

Page range: 95 - 102

Published on: Aug 17, 2013

Published by: Polish Biometric Society

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

biometrical marker,

3d retinal vascular network,

optical coherence tomography data

Related subjects:

Life sciences,

Bioinformatics,

Life sciences, other,

Mathematics,

Probability and statistics,

Applied mathematics

© 2013 P. Serranho, P. Guimarães, P. Rodrigues, R. Bernardes, published by Polish Biometric Society
This work is licensed under the Creative Commons License.

Volume 49 (2012): Issue 2 (December 2012)