An investigation on airflow in disordered nasal cavity and its corrected models by tomographic PIV

Kim, S K; Chung, Seung‐Kyu

doi:10.1088/0957-0233/15/6/007

Cited by 86 publications

(41 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Croce et al 2006) or derived from in vivo computed tomography (CT) or magnetic resonance imaging (MRI) data (e.g. Hahn et al 1993;Hopkins et al 2000;Hausserman et al 2002;Kim & Chung 2004). Each approach has respective advantages and disadvantages; while cadaveric geometries can be imaged or cast to provide well-defined boundaries, their airways may display artificially high degrees of decongestion, as the mucosal tissue shrinks during post-mortem specimen preparation.…”

Section: Nasal Airway Form and The Modelling Of Functionmentioning

confidence: 99%

“…Replica experimental models, derived from in vivo imaged data have previously been used to investigate the nasal airflow patterns and the variations in velocity (e.g. Kelly et al (2000) and Kim & Chung (2004), among others). Here, they were applied to examine the development of flow instability at sufficiently elevated flow rates that assumptions of purely steady flow are doubtful (figure 5).…”

Section: Dynamics Of Nasal Cavity Flow and Impact On Middle Turbinatementioning

confidence: 99%

See 1 more Smart Citation

Nasal architecture: form and flow

Doorly

Taylor

Gambaruto

et al. 2008

Phil. Trans. R. Soc. A.

View full text Add to dashboard Cite

Current approaches to model nasal airflow are reviewed in this study, and new findings presented. These new results make use of improvements to computational and experimental techniques and resources, which now allow key dynamical features to be investigated, and offer rational procedures to relate variations in anatomical form. Specifically, both replica and simplified airways of a single subject were investigated and compared with the replica airways of two other individuals with overtly differing geometries. Procedures to characterize and compare complex nasal airway geometry are first outlined. It is then shown that coupled computational and experimental studies, capable of obtaining highly resolved data, reveal internal flow structures in both intrinsically steady and unsteady situations. The results presented demonstrate that the intimate relation between nasal form and flow can be explored in greater detail than hitherto possible. By outlining means to compare complex airway geometries and demonstrating the effects of rational geometric simplification on the flow structure, this work offers a fresh approach to studies of how natural conduits guide and control flow. The concepts and tools address issues that are thus generic to flow studies in other physiological systems.

show abstract

Section: Nasal Airway Form and The Modelling Of Functionmentioning

confidence: 99%

Section: Dynamics Of Nasal Cavity Flow and Impact On Middle Turbinatementioning

confidence: 99%

Nasal architecture: form and flow

Doorly

Taylor

Gambaruto

et al. 2008

Phil. Trans. R. Soc. A.

View full text Add to dashboard Cite

show abstract

“…However gas mixing (CO 2 washout), flow and resistance can be studied using computational fluid dynamics (CFD) [7]- [18] or experimental methods using cast or 3D printed model airways [8] [19]- [24]. Accurate physical airway models are essential to these approaches.…”

Section: Introductionmentioning

confidence: 99%

Strategies for Segmenting the Upper Airway in Cone-Beam Computed Tomography (CBCT) Data

Kabaliuk¹,

Nejati²,

Loch³

et al. 2017

OJMI

View full text Add to dashboard Cite

The wide availability, low radiation dose and short acquisition time of ConeBeam CT (CBCT) scans make them an attractive source of data for compiling databases of anatomical structures. However CBCT has higher noise and lower contrast than helical slice CT, which makes segmentation more challenging and the optimal methods are not yet known. This paper evaluates several methods of segmenting airway geometries (nares, nasal cavities and pharynx) from typical dental quality head and neck CBCT data. The nasal cavity has narrow and intricate passages and is separated from the paranasal sinuses by thin walls, making it is susceptible to either over-or under-segmentation. The upper airway was split into two: the nasal cavity and the pharyngeal region (nasopharynx to larynx). Each part was segmented using global thresholding, multi-step level-set, and region competition methods (the latter using thresholding, clustering and classification initialisation and edge attraction techniques). The segmented 3D surfaces were evaluated against a reference manual segmentation using distance-, overlap-and volume-based metrics. Global thresholding, multi-step level-set, and region competition all gave satisfactory results for the lower part of the airway (nasopharynx to larynx). Edge attraction failed completely. A semi-automatic region-growing segmentation with multi-thresholding (or classification) initialization offered the best quality segmentation. With some minimal manual editing, it resulted in an accurate upper airway model, as judged by the similarity and volumetric indices, while being the least time consuming of the semi-automatic methods, and relying the least on the operator's expertise.

show abstract

“…The nasal cavity model was divided into several regions and the flow apportionment among different regions of the nose was detailed. Kim [7] investigated airflows in normal and abnormal nasal cavities and surgically created models experimentally by Particle Image Velocimetry (PIV). The average distributions of airflow in normal and abnormal nasal were obtained.…”

Section: Introductionmentioning

confidence: 99%

Characteristic size research of human nasal cavity and the respiratory airflow CFD analysis

Zhang¹

2013

JBM

View full text Add to dashboard Cite

To study the airflow distribution in human nasal cavity during respiration and the characteristic parameters for nasal structure, thirty three-dimensional, anatomically accurate representations of adult nasal cavity models were reconstructed based on processed tomography images collected from normal people. The airflow fields in nasal cavities were simulated using the fluid dynamics with the finite element software ANSYS. The results showed that the difference of human nasal cavity structure led to varying airflow distribution in the nasal cavities and the main airflow passed through the common nasal meatus. The nasal resistance in the regions of nasal valve and nasal vestibule accounted for more than a half of overall resistance. The characteristic model of nasal cavity was extracted based on the characteristic points and dimensions deducted from the original models. It showed that either the geometric structure or the airflow field of the two kinds of model was similar. The characteristic dimensions were the characteristic parameters of nasal cavity that properly represented the original model in research for nasal cavity.

show abstract

An investigation on airflow in disordered nasal cavity and its corrected models by tomographic PIV

Cited by 86 publications

References 9 publications

Nasal architecture: form and flow

Nasal architecture: form and flow

Strategies for Segmenting the Upper Airway in Cone-Beam Computed Tomography (CBCT) Data

Characteristic size research of human nasal cavity and the respiratory airflow CFD analysis

Contact Info

Product

Resources

About