Abstract
Segmentation of retinal layers from OCT images is fundamental to diagnose the progress of retinal diseases. In this study we show that the retinal layers can be automatically and/or interactively located with good accuracy with the aid of local coherence information of the retinal structure. OCT images are processed using the ideas of texture analysis by means of the structure tensor combined with complex diffusion filtering. Experimental results indicate that our proposed novel approach has good performance in speckle noise removal, enhancement and segmentation of the various cellular layers of the retina using the STRATUSOCT™ system.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 10200-10216 |
| Number of pages | 17 |
| Journal | Optics Express |
| Volume | 13 |
| Issue number | 25 |
| DOIs | |
| State | Published - Dec 12 2005 |
Fingerprint
ASJC Scopus subject areas
- Atomic and Molecular Physics, and Optics
Cite this
Automated detection of retinal layer structures on optical coherence tomography images. / Cabrera DeBuc, Delia; Salinas, Harry M.; Puliafito, Carmen A.
In: Optics Express, Vol. 13, No. 25, 12.12.2005, p. 10200-10216.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Automated detection of retinal layer structures on optical coherence tomography images
AU - Cabrera DeBuc, Delia
AU - Salinas, Harry M.
AU - Puliafito, Carmen A.
PY - 2005/12/12
Y1 - 2005/12/12
N2 - Segmentation of retinal layers from OCT images is fundamental to diagnose the progress of retinal diseases. In this study we show that the retinal layers can be automatically and/or interactively located with good accuracy with the aid of local coherence information of the retinal structure. OCT images are processed using the ideas of texture analysis by means of the structure tensor combined with complex diffusion filtering. Experimental results indicate that our proposed novel approach has good performance in speckle noise removal, enhancement and segmentation of the various cellular layers of the retina using the STRATUSOCT™ system.
AB - Segmentation of retinal layers from OCT images is fundamental to diagnose the progress of retinal diseases. In this study we show that the retinal layers can be automatically and/or interactively located with good accuracy with the aid of local coherence information of the retinal structure. OCT images are processed using the ideas of texture analysis by means of the structure tensor combined with complex diffusion filtering. Experimental results indicate that our proposed novel approach has good performance in speckle noise removal, enhancement and segmentation of the various cellular layers of the retina using the STRATUSOCT™ system.
UR - http://www.scopus.com/inward/record.url?scp=28944453878&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=28944453878&partnerID=8YFLogxK
U2 - 10.1364/OPEX.13.010200
DO - 10.1364/OPEX.13.010200
M3 - Article
C2 - 19503235
AN - SCOPUS:28944453878
VL - 13
SP - 10200
EP - 10216
JO - Optics Express
JF - Optics Express
SN - 1094-4087
IS - 25
ER -