Registration and analysis of retinal images for diagnosis and treatment monitoring

Author

Prochazka, A. ; Vysata, O. ; Vavrycukova, J. ; Cejnar, P. ; Pavelek, Z. ; Lhotska, L.

Author_Institution

Czech Inst. of Inf., Robot. & Cybern., Czech Tech. Univ., Prague, Czech Republic

fYear

2014

fDate

1-2 Nov. 2014

Firstpage

1

Lastpage

4

Abstract

The paper presents in its initial part fundamental mathematical tools for analysis of retinal images using methods of digital signal processing and enhancement and methods for their registration to monitor changes during the treatment. Blood vessel trees are then extracted to analyse their specific structures to find retina disorders. The proposed graphical user interface is then used for analysis and monitoring of the set of 20 patients observed during the treatment using the optical coherence tomography. Features obtained are then analysed using selected statistical methods to compare features obtained and to propose the method for classification of healthy and diseased patients. The accuracy achieved was 79 %.

Keywords

blood vessels; eye; graphical user interfaces; image enhancement; image registration; medical image processing; optical tomography; patient treatment; statistical analysis; blood vessel trees; digital signal processing; enhancement method; graphical user interface; optical coherence tomography; patient diagnosis; patient treatment monitoring; retina disorder; retinal image analysis; retinal image registration; statistical method; Biomedical optical imaging; Image registration; Image segmentation; Optical imaging; Optical signal processing; Retina; computational intelligence; image fusion; image registration; optical coherence tomography; retinal images; segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Multimedia Understanding (IWCIM), 2014 International Workshop on

Conference_Location

Paris

Type

conf

DOI

10.1109/IWCIM.2014.7008817

Filename

7008817