Automatic Detection of Blood Vessels in Retinal OCT Images View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017

AUTHORS

Joaquim de Moura , Jorge Novo , José Rouco , M. G. Penedo , Marcos Ortega

ABSTRACT

The eye is a non-invasive window where clinicians can observe and study in vivo the retinal vasculature, allowing the early detection of different relevant pathologies. In this paper, we present a complete methodology for the automatic vascular detection in retinal OCT images. To achieve this, we analyse the intensity profiles between representative layers of the retina, layers that are previously segmented. Then, we propose the use of two threshold-based strategies for vessel detection, a fixed and an adaptive approach. Both methods have been tested and validated with 128 OCT images, that include 560 vessels that were labelled by an ophthalmologist. The approaches provided satisfactory results, facilitating the doctors’ work and allowing better analysis and treatment of vascular diseases. More... »

PAGES

3-10

References to SciGraph publications

  • 2016. Vessel Tree Extraction and Depth Estimation with OCT Images in ADVANCES IN ARTIFICIAL INTELLIGENCE
  • 2009-08. Retinal vascular changes and diabetic retinopathy in CURRENT DIABETES REPORTS
  • Book

    TITLE

    Biomedical Applications Based on Natural and Artificial Computing

    ISBN

    978-3-319-59772-0
    978-3-319-59773-7

    Author Affiliations

    From Grant

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-59773-7_1

    DOI

    http://dx.doi.org/10.1007/978-3-319-59773-7_1

    DIMENSIONS

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    149 schema:name University of A Coruña
    150 rdf:type schema:Organization
     




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