Volumetric segmentation of human eye blood vessels based on OCT images. Stankiewicz, A., Marciniak, T., Dąbrowski, A., Stopa, M., & Marciniak, E. In 2017 25th European Signal Processing Conference (EUSIPCO), pages 36-40, Aug, 2017.
Volumetric segmentation of human eye blood vessels based on OCT images [pdf]Paper  doi  abstract   bibtex   
In this paper we present a method for volumetric segmentation of retinal vessels based on 3D OCT images of human macula. The proposed hybrid method is comprised of two steps: detailed extraction of superficial blood vessels indicators visible in 2D projection of retina layers followed by an axial inspection of inner retina to determine exact depth position of each vessel. The segmentation procedure is improved by application of block-matching and 4D filtering (BM4D) algorithm for noise reduction. The 3D reconstruction of vascular structure was performed for 10 normal subjects examined with Avanti AngioVue OCT device. The automated segmentation results were validated against the manual segmentation performed by an expert giving the accuracy of 95.2%.

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