Paper
7 August 2017 Automated method for structural segmentation of nasal airways based on cone beam computed tomography
Maksym Yu. Tymkovych, Oleg G. Avrunin, Victor G. Paliy, Maksim Filzow, Oleksandr Gryshkov, Birgit Glasmacher, Zbigniew Omiotek, Róża Dzierżak, Saule Smailova, Ainur Kozbekova
Author Affiliations +
Proceedings Volume 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017; 104453F (2017) https://doi.org/10.1117/12.2280922
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2017, 2017, Wilga, Poland
Abstract
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) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maksym Yu. Tymkovych, Oleg G. Avrunin, Victor G. Paliy, Maksim Filzow, Oleksandr Gryshkov, Birgit Glasmacher, Zbigniew Omiotek, Róża Dzierżak, Saule Smailova, and Ainur Kozbekova "Automated method for structural segmentation of nasal airways based on cone beam computed tomography", Proc. SPIE 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, 104453F (7 August 2017); https://doi.org/10.1117/12.2280922
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Image segmentation

Computed tomography

3D modeling

3D image processing

Aerodynamics

Analytical research

3D printing

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