Journal
OPTICS EXPRESS
Volume 18, Issue 20, Pages 21293-21307Publisher
OPTICAL SOC AMER
DOI: 10.1364/OE.18.021293
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Funding
- NEI NIH HHS [R01 EY009076, R01 EY009076-19, R01 EY002115-34, R01 EY002115] Funding Source: Medline
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A novel automated boundary segmentation algorithm is proposed for fast and reliable quantification of nine intra-retinal boundaries in optical coherence tomography (OCT) images. The algorithm employs a two-step segmentation schema based on gradient information in dual scales, utilizing local and complementary global gradient information simultaneously. A shortest path search is applied to optimize the edge selection. The segmentation algorithm was validated with independent manual segmentation and a reproducibility study. It demonstrates high accuracy and reproducibility in segmenting normal 3D OCT volumes. The execution time is about 16 seconds per volume (480x512x128 voxels). The algorithm shows potential for quantifying images from diseased retinas as well. (C) 2010 Optical Society of America
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