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Original version
Tymkovych, M.Y.; Avrunin, O.G.; Paliy, V.G.; Filzow, M.; Gryshkov, O. et al.: Automated method for structural segmentation of nasal airways based on cone beam computed tomography. In: Proceedings of SPIE - The International Society for Optical Engineering 10445 (2017), 104453F. DOI: https://doi.org/10.1117/12.2280922
Repository version
To cite the version in the repository, please use this identifier:
https://doi.org/10.15488/2028
Files in this item
| Abstract: | |
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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.
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| License of this version: | Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. Dieser Beitrag ist aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich. |
| Publication type: | BookPart |
| Publishing status: | publishedVersion |
| Publication date: | 2017 |
| Keywords english: | analysis, cone beam computed tomography, DICOM, image processing, nasal airways, structural segmentation, High energy physics, Image processing, Image segmentation, Tomography, analysis, Automated methods, Cone-beam computed tomography, DICOM, Human nasal airway, Spatial informations, Three-dimensional model, Virtual modeling, Computerized tomography |
| DDC: | 530 | Physik |
| Controlled keywords(GND): | Konferenzschrift |
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Fakultät für Maschinenbau
Frei zugängliche Publikationen aus der Fakultät für Maschinenbau