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
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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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
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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
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EID of the result in the Scopus database
2-s2.0-85099967240