title: Order preserving and shape prior constrained intra-retinal layer segmentation in optical coherence tomography.
abstract: 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.
authors: University of Heidelberg, Image & Pattern Analysis Group (IPA).
authors: Fabian
authors: F
authors: Rathke
authors: Stefan
authors: S
authors: Schmidt
authors: Christoph
authors: C
authors: Schnörr
mesh_terms: D000465:Algorithms; D003952:Diagnostic Imaging / Q000379:methods; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional; D015233:Models, Statistical; D025341:Principal Component Analysis; D011336:Probability; D015203:Reproducibility of Results; D012160:Retina / Q000473:pathology*; D012984:Software; D041623:Tomography, Optical Coherence / Q000379:methods*