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Cited by 377Retinal Imaging and AnalysisMedical Image Segmentation TechniquesRetinal Diseases and Treatments

Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema

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Chiu, Stephanie J., Allingham, Michael J., Mettu, Priyatham S., Cousins, Scott W., Izatt, Joseph A., Farsiu, Sina·2015·Biomedical Optics Express
DOI 10.1364/boe.6.001172PMC PMC4399658
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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.

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Authors
Chiu, S. J., Allingham, M. J., Mettu, P. S., Cousins, S. W., Izatt, J. A., & Farsiu, S.
Affiliations
Duke University (US)
ORCID
Venue
Biomedical Optics Express
Publisher
Optica Publishing Group
Published
2015-03-09
Volume
6
Issue
4
Pages
1172
ISSN
2156-7085 (ISSN-L)
DOI
10.1364/boe.6.001172
PMC
PMC4399658
OpenAlex
W2074598933
Cited by
377
References
74
Citations by year
2026: 27 · 2025: 36 · 2024: 50 · 2023: 46 · 2022: 39 · 2021: 35 · 2020: 38 · 2019: 30 · 2018: 26 · 2017: 31 · 2016: 14 · 2015: 4 · 2014: 1
FWCI
20.26
Type
journal article
Language
en
Open access
Licence
Locations
  • Biomedical Optics Express (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (NIH) (1R01EY023039, K12 EY016333-08, R01 EY022691)
  • U.S. Army Medical Research and Materiel Command (USAMRMC) (W81XWH-12-1-0397)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Retinal Imaging and Analysis
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Health Sciences › Medicine › Ophthalmology › Retinal Diseases and Treatments
Keywords
diabetic macular edema, optical coherence tomography, retinal layer segmentation, kernel regression, automated image analysis, spectral-domain optical coherence tomography

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