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MICCAI
2009
Springer

Intra-retinal Layer Segmentation in Optical Coherence Tomography Using an Active Contour Approach

10 years 6 months ago
Intra-retinal Layer Segmentation in Optical Coherence Tomography Using an Active Contour Approach
Abstract. Optical coherence tomography (OCT) is a non-invasive, depth resolved imaging modality that has become a prominent ophthalmic diagnostic technique. We present an automatic segmentation algorithm to detect intra-retinal layers in OCT images acquired from rodent models of retinal degeneration. We adapt Chan?Vese's energy-minimizing active contours without edges for OCT images, which suffer from low contrast and are highly corrupted by noise. We adopt a multi-phase framework with a circular shape prior in order to model the boundaries of retinal layers and estimate the shape parameters using least squares. We use a contextual scheme to balance the weight of different terms in the energy functional. The results from various synthetic experiments and segmentation results on 20 OCT images from four rats are presented, demonstrating the strength of our method to detect the desired retinal layers with sufficient accuracy and average Dice similarity coefficient of 0.85, specifical...
Azadeh Yazdanpanah, Benjamin Smith 0002, Ghassan H
Added 06 Nov 2009
Updated 08 Jul 2010
Type Conference
Year 2009
Where MICCAI
Authors Azadeh Yazdanpanah, Benjamin Smith 0002, Ghassan Hamarneh, Marinko Sarunic
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