Journal article
Quantifying disrupted outer retinal-subretinal layer in SD-OCT images in choroidal neovascularization
Investigative ophthalmology & visual science, Vol.55(4), pp.2329-2335
04/11/2014
DOI: 10.1167/iovs.13-13048
PMCID: PMC3985574
PMID: 24569576
Abstract
We reported a fully automated method to identify and quantify the thickness of the outer retinal-subretinal (ORSR) layer from clinical spectral-domain optical coherence tomography (SD-OCT) scans of choroidal neovascularization (CNV) due to exudative age-related macular degeneration (eAMD). A total of 23 subjects with CNV met eligibility. Volumetric SD-OCT scans of 23 eyes were obtained (Zeiss Cirrus, 200 × 200 × 1024 voxels). In a subset of eyes, scans were repeated. The OCT volumes were analyzed using our standard parameters and using a 3-dimensional (3D) graph-search approach with an adaptive cost function. A retinal specialist graded the segmentation as generally accurate, local segmentation inaccuracies, or failure. Reproducibility on repeat scans was analyzed using root mean square coefficient of variation (RMS CV) of the average ORSR thickness. Using a standard segmentation approach, 1/23 OCT segmentations was graded generally accurate and 22/23 were failure(s). With the adaptive method 21/23 segmentations were graded generally accurate; 2/23 were local segmentation inaccuracies and none was a failure. The intermethod quality of segmentation was significantly different (P << 0.001). The average ORSR thickness measured on CNV patients (78.0 μm; 95% confidence interval [CI], 72.5-83.4 μm) is significantly larger (P << 0.001) than normal average ORSR layer thickness (51.5 ± 3.3 μm). The RMS CV was 8.1%. We have developed a fully automated 3D method for segmenting the ORSR layer in SD-OCT of patients with CNV from eAMD. Our method can quantify the ORSR layer thickness in the presence of fluid, which has the potential to augment management accuracy and efficiency of anti-VEGF treatment.
Details
- Title: Subtitle
- Quantifying disrupted outer retinal-subretinal layer in SD-OCT images in choroidal neovascularization
- Creators
- Li Zhang - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, United StatesMilan SonkaJames C FolkStephen R RussellMichael D Abràmoff
- Resource Type
- Journal article
- Publication Details
- Investigative ophthalmology & visual science, Vol.55(4), pp.2329-2335
- DOI
- 10.1167/iovs.13-13048
- PMID
- 24569576
- PMCID
- PMC3985574
- NLM abbreviation
- Invest Ophthalmol Vis Sci
- ISSN
- 0146-0404
- eISSN
- 1552-5783
- Publisher
- United States
- Grant note
- R01-EB004640 / NIBIB NIH HHS R01-EY018853 / NEI NIH HHS R01 EB004640 / NIBIB NIH HHS R01 EY017066 / NEI NIH HHS R01 EY019112 / NEI NIH HHS R01 EY018853 / NEI NIH HHS R01-EY017066 / NEI NIH HHS
- Language
- English
- Date published
- 04/11/2014
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9983806365302771
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