Automated segmentation of retinal layers in OCT imaging and derived ophthalmic measures

Author

Rossant, Florence ; Ghorbel, Itebeddine ; Bloch, Isabelle ; Paques, Michel ; Tick, Sarah

Author_Institution

ISEP Paris, Paris, France

fYear

2009

fDate

June 28 2009-July 1 2009

Firstpage

1370

Lastpage

1373

Abstract

This paper proposes an automated method for the segmentation of eight retinal layers in high resolution OCT images. It has been evaluated based on comparison with manual segmentation performed by five different experts. The method has been successfully applied on a database of 72 images. Quantitative measures are then derived as an aid to ophthalmic diagnosis. A good agreement with measures derived from manual segmentation is obtained which allows us to use the proposed method for retinal variability studies.

Keywords

image segmentation; medical image processing; optical tomography; patient diagnosis; OCT imaging; high resolution OCT images; manual segmentation comparison; ophthalmic diagnosis aid; ophthalmic measures; retinal layer automated segmentation; Active contours; Image edge detection; Image resolution; Image segmentation; Low pass filters; Pharmaceuticals; Pixel; Predictive models; Retina; State estimation; Automated segmentation; OCT retinal imaging; Quantitative evaluation;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on

Conference_Location

Boston, MA

ISSN

1945-7928

Print_ISBN

978-1-4244-3931-7

Electronic_ISBN

1945-7928

Type

conf

DOI

10.1109/ISBI.2009.5193320

Filename

5193320