2008
DOI: 10.1002/fld.1866
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Modelling nasal airflow using a Fourier descriptor representation of geometry

Abstract: General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. SUMMARYProcedures capable of providing both compact representations and rational simplifications of complex anatomical flow conduits are essential to explore how form and function are related in the respiratory, cardiovascular and other physiological flow systems. This work focuses on flow in the human nasal cavity. Methods to derive the cavity wall boundary fr… Show more

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Cited by 25 publications
(38 citation statements)
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“…Openings (ostia) to the sinuses were omitted as they presented minimal cross-sectional area and were deemed to have a negligible impact on the gross airflow patterns. In-house bi-Laplacian smoothing techniques were implemented to remove pixellation artefacts and to provide a more realistic, smooth surface finish to the geometries, as discussed by Gambaruto et al (2008). Inflow and outflow extensions were attached to the replica geometry definitions at this stage to allow manufactured physical models to be connected to a flow loop for experimental studies.…”
Section: Methodsmentioning
confidence: 99%
“…Openings (ostia) to the sinuses were omitted as they presented minimal cross-sectional area and were deemed to have a negligible impact on the gross airflow patterns. In-house bi-Laplacian smoothing techniques were implemented to remove pixellation artefacts and to provide a more realistic, smooth surface finish to the geometries, as discussed by Gambaruto et al (2008). Inflow and outflow extensions were attached to the replica geometry definitions at this stage to allow manufactured physical models to be connected to a flow loop for experimental studies.…”
Section: Methodsmentioning
confidence: 99%
“…Even worse, some fully-automatic segmentation methods used in image analysis often lead to even larger deviations (Huang et al 2016) and are thus unsuitable for reconstructing nasal cavities. Moreover, smoothing procedures, which are often employed to prepare the surface for the generation of the computation mesh, can move boundaries by up to one pixel (Gambaruto et al 2009). In the case of a pixel size of h≈0.4 mm and ℓ≈3 mm, this implies that the resistance changes by a factor of 2.…”
Section: Discussionmentioning
confidence: 99%
“…In these methods, the computation mesh needs to conform to the boundary, which often requires additional smoothing of the surface ( Gabory et al 2018), e.g. using the bi-Laplacian iterative method (Gambaruto et al 2009). This smoothing alters the surface, degrades the effective resolution, and might thus introduce additional errors in the simulation (Gambaruto et al 2009).…”
Section: Introductionmentioning
confidence: 99%
“…The first stage of the smoothing is an explicit scheme where the severity of smoothing increases with the number of iterations performed, using the 'projected mean curvature flow' method [27,50] which involves moving the mesh nodes using the local mesh connectivity information in order to minimise the surface roughness (curvature variation). In the second stage of the smoothing method, the surface area and volume alterations brought about in the first stage are reduced by an iterative uniform inflation of the surface along the local normal, until the distance between the smoothed and the original surface representations is minimised [27,51].…”
Section: B Virtual Model Reconstructionmentioning
confidence: 99%