Open AccessPREMATURE INFANT BLOOD VESSEL SEGMENTATION OF RETINAL IMAGES BASED ON HYBRID METHOD FOR THE DETERMINATION OF TORTUOSITY
Author(s) -
Alice Krestanova,
Jan Kubíček,
Marek Penhaker,
Juraj Timkovič
Publication year - 2020
Publication title -
lékař a technika
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.138
H-Index - 5
eISSN - 2336-5552
pISSN - 0301-5491
DOI - 10.14311/ctj.2020.2.02
Subject(s) - tortuosity , retinal , contrast (vision) , artificial intelligence , segmentation , retinopathy of prematurity , computer vision , curvature , computer science , medicine , ophthalmology , mathematics , materials science , biology , pregnancy , genetics , geometry , porosity , composite material , gestational age
For the retinal blood vessels segmentation, we used a method, which is based on the morphological operations. The output of this process is extracted retinal binary image, where is situated main blood vessels. In this paper is used dataset of images (2800 images) from device RetCam3. Before applying the image processing, it was selected 30 images with diagnosed pre-plus diseases, and it is divided into two groups with low contrast and good contrast images. In the next part of the analysis, it was analyzing and showing blood vessels with tortuosity. Tortuosity is a symptom of ROP (retinopathy of prematurity). The clinical physicians evaluate tortuosity by visual comparison of the retinal images images. For this reason, it was suggested model which can automatically indicate the tortuosity of the retinal blood vessels by setting a threshold of the blood vessels curvature.