Title :
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
fDate :
June 28 2009-July 1 2009
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;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2009.5193320
