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Tomo-PIV in a patient-specific model of human nasal cavities: a methodological approach

  • The human nose serves as the primary gateway for air entering the respiratory system and plays a vital role in breathing. Nasal breathing difficulties are a significant health concern, leading to substantial healthcare costs for patients. Understanding nasal airflow dynamics is crucial for comprehending respiratory mechanisms. This article presents a detailed study using tomo-Particle Image Velocimetry (PIV) to investigate nasal airflow dynamics while addressing its accuracy. Embedded in the OpenNose project, the work described aims to provide a validation basis for different numerical approaches to upper airway flow. The study includes the manufacturing of a transparent silicone model based on a clinical CT scan, refractive index matching to minimize optical distortions, and precise flow rate adjustments based on physiological breathing cycles. This method allows for spatial high-resolution investigations in different regions of interest within the nasopharynx during various phases of the breathing cycle. The results demonstrate the accuracy of the investigations, enabling detailed analysis of flow structures and gradients. This spatial high-resolution tomo-PIV approach provides valuable insights into the complex flow phenomena occurring during the physiological breathing cycle in the nasopharynx. The study's findings contribute to advancements in non-free-of-sight experimental flow investigation of complex cavities under nearly realistic conditions. Furthermore, reliable and accurate experimental data is crucial for properly validating numerical approaches that compute this patient-specific flow for clinical purposes.

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Metadaten
Author:Sandra Melina TauwaldORCiD, Florian Erzinger, Maurizio QuadrioORCiD, Markus RüttenORCiD, Christian StemmerORCiD, Lars Krenkel
URN:urn:nbn:de:bvb:898-opus4-70393
DOI:https://doi.org/10.1088/1361-6501/ad282c
Parent Title (English):Measurement Science and Technology
Publisher:IOP Publishing
Document Type:Article
Language:English
Year of first Publication:2024
Publishing Institution:Ostbayerische Technische Hochschule Regensburg
Release Date:2024/03/11
Volume:35
Issue:5
Note:
Corresponding author: Sandra Melina Tauwald
Konferenzangabe:The 20th International Symposium on Flow Visualization (ISFV20), Delft, the Netherlands, on 10-13 July 2023
Institutes:Fakultät Maschinenbau
Regensburg Center of Biomedical Engineering - RCBE
Fakultät Maschinenbau / Labor Biofluidmechanik
Begutachtungsstatus:peer-reviewed
research focus:Lebenswissenschaften und Ethik
OpenAccess Publikationsweg:Hybrid Open Access - OA-Veröffentlichung in einer Subskriptionszeitschrift/-medium
Corresponding author der OTH Regensburg
Funding:Publikationsfonds der OTH Regensburg
Licence (German):Creative Commons - CC BY - Namensnennung 4.0 International