The most informative methods in diagnostics of retinal pathological conditions are ophthalmoscopy, fluorescence angiography (FAG), optical coherence tomography (OCT) and optical coherence tomography with angiography (OCT-angiography, angio-OCT, OCT-A). This paper describes an algorithm of retinal pathologic focus formation based on optical coherence tomography (OCT) scans. The algorithm allows to create a volumetric model of the pathological focus within clinically significant boundaries by separate segmentation of each of the macular cube scans, extraction of the pathological focus point cloud and its reconstruction into a polygonal 3D model. Certain morphometric parameters extracted from such a model are important for better analysis of retinal pathology. This will allow the ophthalmologist to prescribe the appropriate type and amount of treatment to stabilize and improve visual functions.

Keywords: AMD, OCT, macula, retinal pathology, dot cloud, medicine, computer vision, wet AMD