Automated method for structural segmentation of nasal airways based on cone beam computed tomography | Zendy

Maksym Tymkovych | Zendy; Олег Аврунін | Zendy; V. G. Paliy | Zendy; Maksim Filzow | Zendy; Oleksandr Gryshkov | Zendy; Birgit Glasmacher | Zendy; Zbigniew Omiotek | Zendy; Róża Dzierżak | Zendy; Saule Smailova | Zendy; Ainur Kozbekova | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Automated method for structural segmentation of nasal airways based on cone beam computed tomography

Author(s) -

Maksym Tymkovych,

Олег Аврунін,

V. G. Paliy,

Maksim Filzow,

Oleksandr Gryshkov,

Birgit Glasmacher,

Zbigniew Omiotek,

Róża Dzierżak,

Saule Smailova,

Ainur Kozbekova

Publication year - 2017

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.2280922

Subject(s) - segmentation , computer science , computed tomography , cone beam computed tomography , computer vision , image segmentation , artificial intelligence , radiology , medicine

The work is dedicated to the segmentation problem of human nasal airways using Cone Beam Computed Tomography. During research, we propose a specialized approach of structured segmentation of nasal airways. That approach use spatial information, symmetrisation of the structures. The proposed stages can be used for construction a virtual three dimensional model of nasal airways and for production full-scale personalized atlases. During research we build the virtual model of nasal airways, which can be used for construction specialized medical atlases and aerodynamics researches. © 2017 SPIE

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research