Literature DB >> 22160578

Decomposition and description of the nasal cavity form.

A M Gambaruto1, D J Taylor, D J Doorly.   

Abstract

Patient-specific studies of physiological flows rely on anatomically realistic or idealized models. Objective comparison of datasets or the relation of specific to idealized geometries has largely been performed in an ad hoc manner. Here, two rational procedures (based respectively on Fourier descriptors and medial axis (MA) transforms) are presented; each provides a compact representation of a complex anatomical region, specifically the nasal airways. The techniques are extended to furnish average geometries. These retain a sensible anatomical form, facilitating the identification of a specific anatomy as a set of weighted perturbations about the average. Both representations enable a rapid translation of the surface description into a virtual model for computation of airflow, enabling future work to comprehensively investigate the relation between anatomic form and flow-associated function, for the airways or for other complex biological conduits. The methodology based on MA transforms is shown to allow flexible geometric modeling, as illustrated by a local alteration in airway patency. Computational simulations of steady inspiratory flow are used to explore the relation between the flow in individual vs. averaged anatomical geometries. Results show characteristic flow measures of the averaged geometries to be within the range obtained from the original three subjects, irrespective of averaging procedure. However the effective regularization of anatomic form resulting from the shape averaging was found to significantly reduce trans-nasal pressure loss and the mean shear stress in the cavity. It is suggested that this may have implications in attempts to relate model geometries and flow patterns that are broadly representative.

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Year:  2011        PMID: 22160578     DOI: 10.1007/s10439-011-0485-0

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  7 in total

1.  Flow and air conditioning simulations of computer turbinectomized nose models.

Authors:  J Pérez-Mota; F Solorio-Ordaz; J Cervantes-de Gortari
Journal:  Med Biol Eng Comput       Date:  2018-04-16       Impact factor: 2.602

2.  On locating the obstruction in the upper airway via numerical simulation.

Authors:  Yong Wang; S Elghobashi
Journal:  Respir Physiol Neurobiol       Date:  2013-12-31       Impact factor: 1.931

3.  CT-Based Analysis of Left Ventricular Hemodynamics Using Statistical Shape Modeling and Computational Fluid Dynamics.

Authors:  Leonid Goubergrits; Katharina Vellguth; Lukas Obermeier; Adriano Schlief; Lennart Tautz; Jan Bruening; Hans Lamecker; Angelika Szengel; Olena Nemchyna; Christoph Knosalla; Titus Kuehne; Natalia Solowjowa
Journal:  Front Cardiovasc Med       Date:  2022-07-05

4.  A hierarchical stepwise approach to evaluate nasal patency after virtual surgery for nasal airway obstruction.

Authors:  Dennis O Frank-Ito; Julia S Kimbell; Azadeh A T Borojeni; Guilherme J M Garcia; John S Rhee
Journal:  Clin Biomech (Bristol, Avon)       Date:  2018-12-19       Impact factor: 2.063

5.  Role of nasal vestibule morphological variations on olfactory airflow dynamics.

Authors:  Ryan M Sicard; Dennis O Frank-Ito
Journal:  Clin Biomech (Bristol, Avon)       Date:  2021-01-27       Impact factor: 2.063

6.  A deformable template method for describing and averaging the anatomical variation of the human nasal cavity.

Authors:  Alireza Nejati; Natalia Kabaliuk; Mark C Jermy; John E Cater
Journal:  BMC Med Imaging       Date:  2016-10-01       Impact factor: 1.930

7.  Characterization of the Airflow within an Average Geometry of the Healthy Human Nasal Cavity.

Authors:  Jan Brüning; Thomas Hildebrandt; Werner Heppt; Nora Schmidt; Hans Lamecker; Angelika Szengel; Natalja Amiridze; Heiko Ramm; Matthias Bindernagel; Stefan Zachow; Leonid Goubergrits
Journal:  Sci Rep       Date:  2020-02-28       Impact factor: 4.379

  7 in total

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