Order Preserving and Shape Prior Constrained Intra-retinal Layer Segmentation in Optical Coherence Tomography
We present a probabilistic approach to the segmentation of OCT scans of retinal tissue. By combining discrete exact inference and a global shape prior, accurate segmentations are computed that preserve the physiological order of intra-retinal layers. A major part of the computations can be performed in parallel. The evaluation reveals robustness against speckle noise, shadowing caused by blood vessels, and other scan artifacts.
KeywordsOptical Coherence Tomography Optical Coherence Tomography Image Global Shape Speckle Noise Shape Prior