Semiautomatic Detection and Evaluation of Autofluorescent Areas in Retinal Images

Author

Kolar, R. ; Jan, J. ; Laemmer, R. ; Jirik, R.

Author_Institution

Brno Univ. of Technol., Brno

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

3327

Lastpage

3330

Abstract

A semiautomatic approach to the detection and evaluation of the autofluorescent zones in retinal images, recognized as having a diagnostic value, has been designed based on fusing information from two Heidelberg retina angiograph imaging modalities - autofluorescent and infrared modes. The procedure, initiated by automatic preprocessing and region-of-interest determination continues by manually initiated segmentation via constrained region growing and ends with evaluating the size and geometrical coordinates of the AF regions with respect to the centre of the optic disc. Results are compared with those obtained by experienced ophthalmologists.

Keywords

biomedical optical imaging; eye; fluorescence; infrared imaging; Heidelberg retina angiograph imaging; autofluorescence; infrared modes; region-of-interest determination; retinal images; segmentation; semiautomatic detection; Biomedical optical imaging; Fiber lasers; Image databases; Image resolution; Image segmentation; Infrared detectors; Infrared imaging; Laser modes; Pixel; Retina; Algorithms; Artificial Intelligence; Fluorescein Angiography; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Retina; Retinoscopy; Sensitivity and Specificity;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Type

conf

DOI

10.1109/IEMBS.2007.4353042

Filename

4353042