Detection and Tracking of the Pores of the Lamina Cribrosa in Three Dimensional SD-OCT Data
Glaucoma is one of the leading causes of blindness in the world. Although its physiopathology remains unclear, the deformations of the lamina cribrosa (LC), a three-dimensional porous structure through which all the nerve fibers from the retina pass to join the brain, are very likely to play a major role. We present in this article a method for the 3D reconstruction of the pores of the LC, i.e. of the axon pathways, from three dimensional SD-OCT data. This method is based on pore detection in one en-face plane and on pore tracking throughout the volume. To overcome difficulties due to the low signal to noise ratio, we model and integrate a priori knowledge regarding the structures to be segmented in all steps of our algorithm. The quantitative evaluation shows good results on a test set of 14 images, with 76% of the axonal paths truly detected and an RMSE between the automatic and the manual segmentations around 2 pixels.
KeywordsOptical coherence tomography 3D OCT SD-OCT Retina Optic nerve Lamina cribrosa Tracking Pore segmentation
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