Automatic cysts detection in optical coherence tomography images

Author

Wieclawek, Wojciech

Author_Institution

Dept. of Inf. & Med. Equip., Silesian Univ. of Technol., Zabrze, Poland

fYear

2015

Firstpage

79

Lastpage

82

Abstract

The main goal of this work is a presentation of a new algorithm dedicated to cysts detection in Optical Coherence Tomography (OCT) images. Considered in this paper OCT scans concern the eyeball examination in ophthalmology. The proposed approach utilizes different image processing techniques including non-linear complex diffusion and mathematical morphology operations and algorithms, in particular H-Minima Transform, image reconstruction by erosion, geodesic operations etc. The algorithm - to confirm its effectiveness - has been verified based on OCT series.

Keywords

differential geometry; diffusion; diseases; eye; feature extraction; image reconstruction; mathematical morphology; medical image processing; optical tomography; transforms; H-minima transform; OCT image; OCT series; automatic cyst detection algorithm; erosion operation; eyeball examination; geodesic operation; image processing; image reconstruction; mathematical morphology operation; nonlinear complex diffusion; ophthalmology; optical coherence tomography image; Biomedical optical imaging; Coherence; Nonlinear optics; Optical imaging; Retina; Tomography; OCT images; cysts; eyeball; macular edema; ophthalmology; retina; segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Mixed Design of Integrated Circuits & Systems (MIXDES), 2015 22nd International Conference

Conference_Location

Torun

Print_ISBN

978-8-3635-7806-0

Type

conf

DOI

10.1109/MIXDES.2015.7208485

Filename

7208485