TY - JOUR N2 - In this paper methods and their examination results for automatic segmentation and parameterization of vessels based on spectral domain optical coherence tomography (SD-OCT) of the retina are presented. We present three strategies for morphologic image processing of a fundus image reconstructed from OCT scans. A specificity of initial image processing for fundus reconstruction is analysed. Then, the parameterization step is performed based on the vessels segmented with the proposed algorithm. The influence of various methods on the vessel segmentation and fully automatic vessel measurement is analysed. Experiments were carried out with a set of 3D OCT scans obtained from 24 eyes (12 healthy volunteers) with the use of an Avanti RTvue OCT device. The results of automatic vessel segmentation were numerically compared with those prepared manually by the medical doctor experts. L1 - http://www.journals.pan.pl/Content/113100/PDF/01_MMS_3_INTERNET.pdf L2 - http://www.journals.pan.pl/Content/113100 PY - 2019 IS - No 3 EP - 461 DO - 10.24425/mms.2019.129581 KW - optical coherence tomography KW - image processing KW - mathematical morphology KW - vessel segmentation A1 - Marciniak, Tomasz A1 - Stankiewicz, Agnieszka A1 - Dąbrowski, Adam A1 - Stopa, Marcin A1 - Rakowicz, Piotr A1 - Marciniak, Elżbieta PB - Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation VL - vol. 26 DA - 2019.09.23 T1 - Measurement of retina vessels by segmentation of images reconstructed from optical coherence tomography data SP - 449 UR - http://www.journals.pan.pl/dlibra/publication/edition/113100 T2 - Metrology and Measurement Systems ER -