The Effect of Segmentation Threshold on Computational Fluid Dynamic Analysis of Nasal Airflow

Bryce Noblitt; John Higgins; Katherine Kopytek; Christoph Brehm; Nikita Gupta

doi:10.1097/SCS.0000000000008961

The Effect of Segmentation Threshold on Computational Fluid Dynamic Analysis of Nasal Airflow

Bryce Noblitt, John Higgins, Katherine Kopytek, Christoph Brehm, Nikita Gupta

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Background: The objective analysis of nasal airflow stands to benefit greatly from the adoption of computational fluid dynamic (CFD) methodologies. In this emerging field, no standards currently exist in regard to the ideal modeling parameters of the nasal airway. Such standards will be necessary for this tool to become clinically relevant. Methods: Human nasal airways were modeled from a healthy control, segmented, and analyzed with an in-house immersed boundary method. The segmentation Hounsfield unit (HU) threshold was varied to measure its effect in relation to airflow velocity magnitude and pressure change. Findings: Surface area and volume have a linear relationship to HU threshold, whereas CFD variables had a more complex relationship. Interpretation: The HU threshold should be included in nasal airflow CFD analysis. Future work is required to determine the optimal segmentation threshold.

Original language	English
Pages (from-to)	337-342
Number of pages	6
Journal	Journal of Craniofacial Surgery
Volume	34
Issue number	1
DOIs	https://doi.org/10.1097/SCS.0000000000008961
State	Published - Jan 1 2023

Bibliographical note

Publisher Copyright:
Copyright © 2022 Mutaz B. Habal, MD. All rights reserved.

Funding

ITK-Snap is supported by the U.S. National Institute of Biomedical Imaging and BioEngineering through Grant R01 EB014346, and by Grants R01 EB017255, R03 EB008200, and PO 467-MZ-202446-1 from the US National Institutes of Health. This research was performed under appointment to the Rickover Fellowship Program in Nuclear Engineering sponsored by Naval Reactors Division of the National Nuclear Security Administration.

Funders	Funder number
Naval Reactors Division
National Institutes of Health (NIH)
National Institute of Biomedical Imaging and Bioengineering	R01 EB017255, PO 467-MZ-202446-1, R01 EB014346, R03 EB008200
National Institute of Biomedical Imaging and Bioengineering
National Nuclear Security Administration

Keywords

Computational fluid dynamics
computer simulation
nasal airflow
nasal airflow obstruction
nasal obstruction
nasal resistance

ASJC Scopus subject areas

Surgery
Otorhinolaryngology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1097/SCS.0000000000008961

Cite this

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abstract = "Background: The objective analysis of nasal airflow stands to benefit greatly from the adoption of computational fluid dynamic (CFD) methodologies. In this emerging field, no standards currently exist in regard to the ideal modeling parameters of the nasal airway. Such standards will be necessary for this tool to become clinically relevant. Methods: Human nasal airways were modeled from a healthy control, segmented, and analyzed with an in-house immersed boundary method. The segmentation Hounsfield unit (HU) threshold was varied to measure its effect in relation to airflow velocity magnitude and pressure change. Findings: Surface area and volume have a linear relationship to HU threshold, whereas CFD variables had a more complex relationship. Interpretation: The HU threshold should be included in nasal airflow CFD analysis. Future work is required to determine the optimal segmentation threshold.",

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PY - 2023/1/1

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The Effect of Segmentation Threshold on Computational Fluid Dynamic Analysis of Nasal Airflow

Abstract

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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