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Premature infant blood vessel segmentation of retinal images based on hybrid method for the determination of tortuosity

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10247133" target="_blank" >RIV/61989100:27240/20:10247133 - isvavai.cz</a>

  • Alternative codes found

    RIV/00843989:_____/20:E0108833

  • Result on the web

    <a href="https://ojs.cvut.cz/ojs/index.php/CTJ/article/view/5477" target="_blank" >https://ojs.cvut.cz/ojs/index.php/CTJ/article/view/5477</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.14311/CTJ.2020.2.02" target="_blank" >10.14311/CTJ.2020.2.02</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Premature infant blood vessel segmentation of retinal images based on hybrid method for the determination of tortuosity

  • Original language description

    The paper deals with the segmentation of the retinal vascular system using hybrid methods as morphological operations for the purpose of highlighting the extraction of blood vessels and tortuosity. Up to now tortuosity has been evaluated through a visual comparison of the retinal images. The output is an extracted retinal binary image with a blood vessel map. For this reason, a model was suggested that can automatically indicate the tortuosity of the retinal blood vessels by setting a threshold of the blood vessel curvature. This paper used a dataset of images (2800 images) from a RetCam3 device. Before applying the image processing, 30 images were selected with pre-plus diseases diagnosed, and this was divided into two groups with low contrast and higher contrast images. Part of the work is to determine the level of the tortuosity symptom by setting a threshold. Comparing the results with this processing method is not possible because the reference methods of image processing are based on fundus camera scanning, which has twice the resolution. This camera is not used for premature babies, but for children about one year of age and older or adults. Thus, retinal data for 14-day-old to 1-year-old children are not available for the fundus camera. This is a pilot study for the segmentation and mapping of blood vessels from retinal images taken by RetCam3. (C) 2020, Czech Medical Association J.E. Purkyne. All rights reserved.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    20600 - Medical engineering

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Lékař a technika

  • ISSN

    0301-5491

  • e-ISSN

  • Volume of the periodical

    50

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    9

  • Pages from-to

    49-57

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85099967240