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  Validated reconstructions of geometries of nasal cavities from CT scans

Zwicker, D., Yang, K., Melchionna, S., Brenner, M. P., Liu, B., & Lindsay, R. W. (2018). Validated reconstructions of geometries of nasal cavities from CT scans. Biomedical Physics and Engineering Express, 4(4): 045022. doi:10.1088/2057-1976/aac6af.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-6C71-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-C46E-5
Genre: Journal Article

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 Creators:
Zwicker, David1, Author              
Yang, Kai, Author
Melchionna, Simone, Author
Brenner, Michael P., Author
Liu, Bob, Author
Lindsay, Robin W., Author
Affiliations:
1Max Planck Research Group Theory of Biological Fluids, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2516693              

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 Abstract: Developing validated objective measures of nasal airflow is paramount for improving the management of nasal obstruction. Nasal airflow can be studied objectively by simulating the flow in the computer. This requires a faithful reconstruction of the nasal geometry since the simulated airflow is sensitive to small variations of the complex shape of the nasal cavity. We here show that altering the geometry by less than 1 mm can change the airflow two-fold. We also show that a faithful reconstruction of the nasal geometry is possible with a threshold-based segmentation. Utilizing the known geometry of a CT phantom, we determine an optimal segmentation threshold of −450 HU. Changing this threshold by 100 HU alters the geometry by only about 0.1 mm. We use this verified segmentation to extract nasal geometries of three patients and simulate the respective airflows using the Lattice Boltzmann method. Using a simple model, we can predict how the reconstruction threshold affects the resistance to airflow. Since the segmentation and the simulation can be automated completely, this is an important step toward an objective analysis of nasal airflow based on CT scans.

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Language(s): eng - English
 Dates: 2018-06-012018-07
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1088/2057-1976/aac6af
 Degree: -

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Title: Biomedical Physics and Engineering Express
Source Genre: Journal
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Publ. Info: -
Pages: 11 Volume / Issue: 4 (4) Sequence Number: 045022 Start / End Page: - Identifier: -