Publication detail

Analysis of Retinal Autofluorescence Images for Early Glaucoma Diagnosis

KOLÁŘ, R., JAN, J., LAEMMER, R., MARDIN, CH.Y., JIŘÍK, R., ZAČAL, J., FILIPÍK, A., PETERLÍK, I.

Original Title

Analysis of Retinal Autofluorescence Images for Early Glaucoma Diagnosis

Czech Title

Analýza retinálních autofluorescenčních obrazů pro včasnou diagnostiku glaukomu

English Title

Analysis of Retinal Autofluorescence Images for Early Glaucoma Diagnosis

Type

conference paper

Language

en

Original Abstract

This paper deals with the semi-automatic segmentation and analysis of autofluorescence images. The autofluorescent images of the retinal tissue are utilized for the early glaucoma diagnosis. Areas and distances from the optical disc (OD) of these isles can be used as diagnostic parameters. The border of the OD is determined with the help of infrared images, because of higher contrast between OD and surrounding tissue. For this purpose, the multimodal image registration method must be applied. The region growing method with manually determined seed points is used for segmentation.

Czech abstract

Příspěvek se zabývá poloautomatickou segmentací a analýzou autofluorescenčních obrazů sítnice, využitelnou pro včasnou diagnostiku glaukomu. Hranice optického disku je získána pomocí tzv. 'infrared-free' obrazů, které umožňují její snadnější detekci. Samotné autfluorescenční zóny jsou pak detekovány pomocí metody nárustu regionu.

English abstract

This paper deals with the semi-automatic segmentation and analysis of autofluorescence images. The autofluorescent images of the retinal tissue are utilized for the early glaucoma diagnosis. Areas and distances from the optical disc (OD) of these isles can be used as diagnostic parameters. The border of the OD is determined with the help of infrared images, because of higher contrast between OD and surrounding tissue. For this purpose, the multimodal image registration method must be applied. The region growing method with manually determined seed points is used for segmentation.

Keywords

glaucoma, image registration, autofluorescence

RIV year

2006

Released

10.12.2006

Publisher

DAR ÚTIA Praha

Location

Česká Republika

Pages from

35

Pages to

35

Pages count

1

BibTex


@inproceedings{BUT24207,
  author="Radim {Kolář} and Jiří {Jan} and Radovan {Jiřík} and Jiří {Začal} and Adam {Filipík} and Igor {Peterlík}",
  title="Analysis of Retinal Autofluorescence Images for Early Glaucoma Diagnosis",
  annote="This paper deals with the semi-automatic segmentation and analysis of autofluorescence images. The autofluorescent images of the
retinal tissue are utilized for the early glaucoma diagnosis. Areas and distances from the optical disc (OD) of these isles can be used as diagnostic parameters. The border of the OD is determined with the help of infrared images, because of higher contrast between OD and surrounding tissue. For this purpose, the multimodal image registration method must be applied. The region growing method with manually determined seed points is used for segmentation.",
  address="DAR ÚTIA Praha",
  booktitle="Abstracts of Contributions to 2nd International Workshop on Data - Algorithms - Decision Making.",
  chapter="24207",
  institution="DAR ÚTIA Praha",
  number="32",
  year="2006",
  month="december",
  pages="35",
  publisher="DAR ÚTIA Praha",
  type="conference paper"
}