Interactive Three-Dimensional Visualization System of the Vascular Structure in OCT Retinal Images View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018

AUTHORS

Joaquim de Moura , Jorge Novo , Marcos Ortega , Noelia Barreira , Manuel G. Penedo

ABSTRACT

This paper proposes an automated tool for the 3D visualization of the retinal arterio-venular tree using Optical Coherence Tomography (OCT) images. The methodology takes advantage of different image processing techniques that initially segments the vessel tree and estimates its corresponding calibers. Then, the depths for the entire vessel tree are also calculated. With all this information, the 3D reconstruction of the vessel tree is achieved, interpolating with B-splines all the segments, obtaining a smooth representation that facilitates its inspection. This model allows the visualization and manipulation of the 3D vessel tree by means of graphical affine transformations, including translation, scaling and rotation. Thus, the method offers a complete and comfortable visualization of the 3D real layout of the vasculature that permits to proceed with more reliable diagnostic processes involving the retinal microcirculation analysis. More... »

PAGES

306-313

References to SciGraph publications

  • 2009-04. Detection of Retinal Blood Vessels Based on Nonlinear Projections in JOURNAL OF SIGNAL PROCESSING SYSTEMS
  • 2016. 3D Retinal Vessel Tree Segmentation and Reconstruction with OCT Images in IMAGE ANALYSIS AND RECOGNITION
  • 2009-08. Retinal vascular changes and diabetic retinopathy in CURRENT DIABETES REPORTS
  • 2009. Computer-Aided Diagnosis in Medical Imaging: Achievements and Challenges in WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING, SEPTEMBER 7 - 12, 2009, MUNICH, GERMANY
  • 2008. Optic Disc Segmentation by Means of GA-Optimized Topological Active Nets in IMAGE ANALYSIS AND RECOGNITION
  • 2013. Cost Function Selection for a Graph-Based Segmentation in OCT Retinal Images in COMPUTER AIDED SYSTEMS THEORY - EUROCAST 2013
  • 2008. Bézier and Splines in Image Processing and Machine Vision in NONE
  • Book

    TITLE

    Computer Aided Systems Theory – EUROCAST 2017

    ISBN

    978-3-319-74726-2
    978-3-319-74727-9

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-74727-9_36

    DOI

    http://dx.doi.org/10.1007/978-3-319-74727-9_36

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1100654291


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