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

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

Autorschaft

  • Maksym Yu Tymkovych
  • Oleg G. Avrunin
  • Victor G. Paliy
  • Maksim Filzow
  • Oleksandr Gryshkov
  • Birgit Glasmacher
  • Zbigniew Omiotek
  • Róa Dzierlak
  • Saule Smailova
  • Ainur Kozbekova

Organisationseinheiten

Externe Organisationen

  • National Pirogov Memorial Medical University, Vinnytsya (VNMU)
  • Lublin University of Technology
  • Ministry of Education and Science of the Republic of Kazakhstan
  • Al Farabi Kazakh National University
  • Nationale Akademie der Wissenschaften der Ukraine
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksPhotonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017
Herausgeber/-innenMaciej Linczuk, Ryszard S. Romaniuk
Herausgeber (Verlag)SPIE
ISBN (elektronisch)9781510613546
PublikationsstatusVeröffentlicht - 7 Aug. 2017
VeranstaltungPhotonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017 - Wilga, Polen
Dauer: 28 Mai 2017 → 6 Juni 2017

Publikationsreihe

NameProceedings of SPIE - The International Society for Optical Engineering
Band10445
ISSN (Print)0277-786X
ISSN (elektronisch)1996-756X

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.

ASJC Scopus Sachgebiete

Zitieren

Automated method for structural segmentation of nasal airways based on cone beam computed tomography. / Tymkovych, Maksym Yu; Avrunin, Oleg G.; Paliy, Victor G. et al.
Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017. Hrsg. / Maciej Linczuk; Ryszard S. Romaniuk. SPIE, 2017. 104453F (Proceedings of SPIE - The International Society for Optical Engineering; Band 10445).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

Tymkovych, MY, Avrunin, OG, Paliy, VG, Filzow, M, Gryshkov, O, Glasmacher, B, Omiotek, Z, Dzierlak, R, Smailova, S & Kozbekova, A 2017, Automated method for structural segmentation of nasal airways based on cone beam computed tomography. in M Linczuk & RS Romaniuk (Hrsg.), Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017., 104453F, Proceedings of SPIE - The International Society for Optical Engineering, Bd. 10445, SPIE, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, Wilga, Polen, 28 Mai 2017. https://doi.org/10.1117/12.2280922
Tymkovych, M. Y., Avrunin, O. G., Paliy, V. G., Filzow, M., Gryshkov, O., Glasmacher, B., Omiotek, Z., Dzierlak, R., Smailova, S., & Kozbekova, A. (2017). Automated method for structural segmentation of nasal airways based on cone beam computed tomography. In M. Linczuk, & R. S. Romaniuk (Hrsg.), Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017 Artikel 104453F (Proceedings of SPIE - The International Society for Optical Engineering; Band 10445). SPIE. https://doi.org/10.1117/12.2280922
Tymkovych MY, Avrunin OG, Paliy VG, Filzow M, Gryshkov O, Glasmacher B et al. Automated method for structural segmentation of nasal airways based on cone beam computed tomography. in Linczuk M, Romaniuk RS, Hrsg., Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017. SPIE. 2017. 104453F. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2280922
Tymkovych, Maksym Yu ; Avrunin, Oleg G. ; Paliy, Victor G. et al. / Automated method for structural segmentation of nasal airways based on cone beam computed tomography. Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017. Hrsg. / Maciej Linczuk ; Ryszard S. Romaniuk. SPIE, 2017. (Proceedings of SPIE - The International Society for Optical Engineering).
Download
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title = "Automated method for structural segmentation of nasal airways based on cone beam computed tomography",
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.",
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AU - Tymkovych, Maksym Yu

AU - Avrunin, Oleg G.

AU - Paliy, Victor G.

AU - Filzow, Maksim

AU - Gryshkov, Oleksandr

AU - Glasmacher, Birgit

AU - Omiotek, Zbigniew

AU - Dzierlak, Róa

AU - Smailova, Saule

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AB - 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.

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