ICA analysis of retina images for glaucoma classification

Author

Fink, F. ; Worle, K. ; Gruber, P. ; Tomé, A.M. ; Sáez, J. M Górriz - ; Puntonet, C.G. ; Lang, E.W.

Author_Institution

Institute for Biophysics, CIML Group, University of Regensburg, D-93040, Germany

fYear

2008

fDate

20-25 Aug. 2008

Firstpage

4664

Lastpage

4667

Abstract

Glaucoma represent one of the most frequent causes of partial loss of the visual field. It comes along with an ongoing destruction of the optic nerve caused by an increased pressure of the eye liquid. The disease becomes obvious from investigations of the retina with scanning laser microscopes. In this report an image analysis and classification system based on independent component analysis and k-nearest-neighbor classification is proposed. The method is tested with 120 selected retina images collected with the Heidelberg Retina Tomograph and achieves a classification rate of 91%.

Keywords

Biomedical engineering; Data analysis; Data engineering; Diseases; Image analysis; Independent component analysis; Optical filters; Optical losses; Retina; Wavelet analysis; Algorithms; Databases, Factual; Glaucoma; Humans; Image Processing, Computer-Assisted; Lasers; Microscopy; Registries; Reproducibility of Results; Retina; Tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Conference_Location

Vancouver, BC

ISSN

1557-170X

Print_ISBN

978-1-4244-1814-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2008.4650253

Filename

4650253