Title :
Automatic cysts detection in optical coherence tomography images
Author :
Wieclawek, Wojciech
Author_Institution :
Dept. of Inf. & Med. Equip., Silesian Univ. of Technol., Zabrze, Poland
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;
Conference_Titel :
Mixed Design of Integrated Circuits & Systems (MIXDES), 2015 22nd International Conference
Conference_Location :
Torun
Print_ISBN :
978-8-3635-7806-0
DOI :
10.1109/MIXDES.2015.7208485
