NDLI: Registration and analysis of retinal images for diagnosis and treatment monitoring

Content Provider	IEEE Xplore Digital Library
Author	Prochazka, A. Vysata, O. Vavrycukova, J. Cejnar, P. Pavelek, Z. Lhotska, L.
Copyright Year	2014
Description	Author affiliation: Czech Inst. of Inf., Robot. & Cybern., Czech Tech. Univ., Prague, Czech Republic (Prochazka, A.; Lhotska, L.) \|\| Dept. of Neurology in Hradec Kralove, Charles Univ., Hradec Kralove, Czech Republic (Vysata, O.; Pavelek, Z.) \|\| Dept. of Comput. & Control Eng., Inst. of Chem. Technol., Prague, Czech Republic (Vavrycukova, J.; Cejnar, P.)
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 %.
Starting Page	1
Ending Page	4
File Size	1373314
Page Count	4
File Format	PDF
ISBN	9781479979714
DOI	10.1109/IWCIM.2014.7008817
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-01
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image registration Image segmentation Biomedical optical imaging Retinal images Segmentation Optical coherence tomography Optical imaging Retina Optical signal processing Computational intelligence Image fusion
Content Type	Text
Resource Type	Article

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