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2012 | 49 | 2 | 95-102
Tytuł artykułu

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

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Wydawca
Czasopismo
Rocznik
Tom
49
Numer
2
Strony
95-102
Opis fizyczny
Daty
wydano
2012-12-01
online
2013-08-17
Twórcy
autor
  • Department of Science and Technology, Portuguese Open University, Portugal, pserranho@uab.pt
  • Institute of Biomedical Research in Light and Image, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
  • Institute of Biomedical Research in Light and Image, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
autor
  • CNTM, Association for Innovation and Biomedical Research on Light and Image, Coimbra, Portugal
autor
  • Institute of Biomedical Research in Light and Image, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
  • CNTM, Association for Innovation and Biomedical Research on Light and Image, Coimbra, Portugal
Bibliografia
  • 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.
  • 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.
  • 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.
  • 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: 10.1117/1.3076204[WoS][Crossref]
  • 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.
  • 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.
  • 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
  • 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.
  • Laatikainen L. (2006): Adverse e ects of uorescein angiography Acta Ophthalmologica Scandinavica 84(6): 720-721.
  • 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.[PubMed]
  • 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.
  • 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.
  • 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.
  • 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.[Crossref][WoS]
  • 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.
  • 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.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.doi-10_2478_bile-2013-0007
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