Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema
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- 9 March 2015
- journal article
- Published by Optica Publishing Group in Biomedical Optics Express
- Vol. 6 (4), 1172-94
- https://doi.org/10.1364/boe.6.001172
Abstract
We present a fully automatic algorithm to identify fluid-filled regions and seven retinal layers on spectral domain optical coherence tomography images of eyes with diabetic macular edema (DME). To achieve this, we developed a kernel regression (KR)-based classification method to estimate fluid and retinal layer positions. We then used these classification estimates as a guide to more accurately segment the retinal layer boundaries using our previously described graph theory and dynamic programming (GTDP) framework. We validated our algorithm on 110 B-scans from ten patients with severe DME pathology, showing an overall mean Dice coefficient of 0.78 when comparing our KR + GTDP algorithm to an expert grader. This is comparable to the inter-observer Dice coefficient of 0.79. The entire data set is available online, including our automatic and manual segmentation results. To the best of our knowledge, this is the first validated, fully-automated, seven-layer and fluid segmentation method which has been applied to real-world images containing severe DME.Keywords
Funding Information
- National Institutes of Health (NIH) (1R01EY023039, K12 EY016333-08, R01 EY022691)
- U.S. Army Medical Research and Materiel Command (USAMRMC) (W81XWH-12-1-0397)
This publication has 64 references indexed in Scilit:
- Automatic cone photoreceptor segmentation using graph theory and dynamic programmingBiomedical Optics Express, 2013
- Automatic segmentation of the choroid in enhanced depth imaging optical coherence tomography imagesBiomedical Optics Express, 2013
- Automatic segmentation of closed-contour features in ophthalmic images using graph theory and dynamic programmingBiomedical Optics Express, 2012
- Automated segmentation of outer retinal layers in macular OCT images of patients with retinitis pigmentosaBiomedical Optics Express, 2011
- Automated segmentation by pixel classification of retinal layers in ophthalmic OCT imagesBiomedical Optics Express, 2011
- Expanded 2-Year Follow-up of Ranibizumab Plus Prompt or Deferred Laser or Triamcinolone Plus Prompt Laser for Diabetic Macular EdemaOphthalmology, 2011
- Retinal Nerve Fiber Layer Segmentation on FD-OCT Scans of Normal Subjects and Glaucoma PatientsBiomedical Optics Express, 2010
- Randomized Trial Evaluating Ranibizumab Plus Prompt or Deferred Laser or Triamcinolone Plus Prompt Laser for Diabetic Macular EdemaOphthalmology, 2010
- Reliability and reproducibility of macular segmentation using a custom-built optical coherence tomography retinal image analysis softwareJournal of Biomedical Optics, 2009
- Diabetic Macular Edema: What Is Focal and What Is Diffuse?American Journal of Ophthalmology, 2008