Nowadays the multi-layer computed tomography (CT) shots with contrast dye used for detection of small pathological growths regions are widely spread in medical clinics. Although, CT study with contrast dye use has contraindications and is much more expensive for patients than study without use of dye. This article proposes the algorithm based on segmentation of three-dimensional signal received from CT (without dye use). The algorithm allows to identify a pathological growths automatically and to detect studying object regions with the help of 3D graph model based on received data. Algorithm also evaluates parameters of small objects and sinuses, which occupy only small part of initial CT layers, with high accuracy.

Date Published: 24 June 2019
PDF: 10 pages
Proc. SPIE 11146, Optical Technologies for Telecommunications 2018, 1114619 (24 June 2019); doi: 10.1117/12.2525537

Published in SPIE Proceedings Vol. 11146:
Optical Technologies for Telecommunications 2018
Vladimir A. Andreev; Anton V. Bourdine; Vladimir A. Burdin; Oleg G. Morozov; Albert H. Sultanov, Editor(s)