April 2014
Volume 55, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2014
Occluded and Partially Occluded Blood Vessel Detection from Macular OCT scans
Author Affiliations & Notes
  • Pedro Rodrigues
    AIBILI - Association for Innovation and Biomedical Research on Light and Image, Coimbra, Portugal
  • Pedro Guimaraes
    Department of Information Engineering, University of Padova, Padova, Italy
  • Claudia Farinha
    CHUC - Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
  • João Figueira
    AIBILI - Association for Innovation and Biomedical Research on Light and Image, Coimbra, Portugal
    CHUC - Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
  • Pedro Serranho
    IBILI - Institute for Biomedical Imaging and Life Sciences, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
    Mathematics Section, Department of Science and Technology, Open University, Lisbon, Portugal
  • Rui Bernardes
    AIBILI - Association for Innovation and Biomedical Research on Light and Image, Coimbra, Portugal
    IBILI - Institute for Biomedical Imaging and Life Sciences, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
  • Footnotes
    Commercial Relationships Pedro Rodrigues, None; Pedro Guimaraes, None; Claudia Farinha, None; João Figueira, None; Pedro Serranho, None; Rui Bernardes, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science April 2014, Vol.55, 213. doi:
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      Pedro Rodrigues, Pedro Guimaraes, Claudia Farinha, João Figueira, Pedro Serranho, Rui Bernardes; Occluded and Partially Occluded Blood Vessel Detection from Macular OCT scans. Invest. Ophthalmol. Vis. Sci. 2014;55(13):213.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose: To discriminate between different degrees of occlusion of the retinal vascular network from noninvasive spectral-domain optical coherence tomography (SD-OCT).

Methods: Our group has previously demonstrated the possibility to visually discriminate between occluded and perfused vascular network from OCT data (“Discrimination between perfused and occluded vessels from OCT scans”, IOVS 2013; E-Abstract 29) using two distinct depth-wise projections: one throughout the outer retinal layers (to capture the shadow due to light absorption by hemoglobin) and the other throughout the inner retinal layers (to capture vessels hyper-reflectivity). In the present work, resorting to the same principle, the ratio between vessels and surrounding tissue, at each level, is computed. Healthy eyes and eyes with retinal arterial occlusion were collected from our institution database. Five eyes (59.8±19.8 years, 3 male and 2 female) diagnosed with arterial occlusion and 10 controls (59.4±21.5 years, 6 male and 4 female) were processed and analyzed. From each eye scan, multiple vessel locations were randomly chosen.

Results: Computed ratios show a distinct distribution between the healthy control eyes and eyes diagnosed with arterial occlusion. Ratios computed within the outer retina are within the range 0.53 to 0.78 (healthy) and 0.73 to 1.01 (arterial occlusion). On the other hand, ratios from the inner retina are within the range 0.99 to 1.34 (healthy) and 1.07 to 1.66 (arterial occlusion). Plotting one ratio against the other demonstrates the clear presence of two distinct groups. These results demonstrate the possibility to discriminate between controls and eyes with arterial occlusion from OCT data only. In addition, the computed ratios were consistent across different locations from the same eye. Furthermore, the ratio computed from the inner retina seems to be correlated to the level of occlusion.

Conclusions: The proposed technique and achieved results suggest the possibility to use OCT to assess the perfusion noninvasively.

Keywords: 688 retina • 749 vascular occlusion/vascular occlusive disease • 549 image processing  
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