Morphological segmentation of retinal blood vessels and consequent tortuosity extraction

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241603" target="_blank" >RIV/61989100:27240/18:10241603 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00843989:_____/18:E0107112

Výsledek na webu

<a href="http://journal.utem.edu.my/index.php/jtec/article/view/3579/2474" target="_blank" >http://journal.utem.edu.my/index.php/jtec/article/view/3579/2474</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Morphological segmentation of retinal blood vessels and consequent tortuosity extraction

Popis výsledku v původním jazyce

Investigation of a retinal blood vessel system is frequently discussed issue in the field of the clinical ophthalmology due to it serves as reliable indicator of retinal damage. The analysis deals with two coherent tasks regarding retinal blood vessels system. Firstly, the algorithm based on the morphological operations is proposed to be able to perform precise extraction and localization of individual blood vessels for further processing. On the base of this segmentation procedure, e obtain a segmentation model differentiating the retinal blood vessels from retinal background. The second step deals with the major output of the analysis it is tortuosity extraction as it is parameter describing curvature of blood vessels. The tortuosity allows for a description of each vessel element by level of a curvature. It is significantly beneficial for clinical practice, because on the base of blood vessel curvature, physiological or damaged retinal system can be recognized.

Název v anglickém jazyce

Morphological segmentation of retinal blood vessels and consequent tortuosity extraction

Popis výsledku anglicky

Investigation of a retinal blood vessel system is frequently discussed issue in the field of the clinical ophthalmology due to it serves as reliable indicator of retinal damage. The analysis deals with two coherent tasks regarding retinal blood vessels system. Firstly, the algorithm based on the morphological operations is proposed to be able to perform precise extraction and localization of individual blood vessels for further processing. On the base of this segmentation procedure, e obtain a segmentation model differentiating the retinal blood vessels from retinal background. The second step deals with the major output of the analysis it is tortuosity extraction as it is parameter describing curvature of blood vessels. The tortuosity allows for a description of each vessel element by level of a curvature. It is significantly beneficial for clinical practice, because on the base of blood vessel curvature, physiological or damaged retinal system can be recognized.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

Journal of Telecommunication, Electronic and Computer Engineering

ISSN

2180-1843

e-ISSN

—

Svazek periodika

10

Číslo periodika v rámci svazku

1-4

Stát vydavatele periodika

MY - Malajsie

Počet stran výsledku

5

Strana od-do

73-77

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85045187950