The Experts below are selected from a list of 21468 Experts worldwide ranked by ideXlab platform
Kiao Inthavong - One of the best experts on this subject based on the ideXlab platform.
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development of a computational fluid dynamics model for mucociliary clearance in the Nasal Cavity
Journal of Biomechanics, 2019Co-Authors: Yidan Shang, Kiao InthavongAbstract:IntraNasal drug delivery has attracted significant attention because of the opportunity to deliver systemic drugs directly to the blood stream. However, the mucociliary clearance poses a challenge in gaining high efficacy of intraNasal drug delivery because cilia continuously carry the mucus blanket towards the laryngeal region. To better understand mucus flow behaviour on the human Nasal Cavity wall, we present computational model development, and evaluation of mucus motion on a realistic Nasal Cavity model reconstructed from CT-scans. The model development involved two approaches based on the actual Nasal Cavity geometry namely: (i) unwrapped-surface model in 2D domain and (ii) 3D-shell model. Conservation equations of fluid motion were applied to the domains, where a mucus production source term was used to initiate the mucus motion. The analysis included mucus flow patterns, virtual saccharin tests and quantitative velocity magnitude analysis, which demonstrated that the 3D-shell model results provided better agreement with experimental data. The unwrapped-surface model also suffered from mesh-deformations during the unwrapping stage and this led to higher mucus velocity compared to experimental data. Therefore, the 3D-shell model was recommended for future mucus flow simulations. As a first step towards mucus motion modelling this study provides important information that accurately simulates a mucus velocity field on a human Nasal Cavity wall, for assessment of toxicology and efficacy of intraNasal drug delivery.
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NC01 - Nasal Cavity 01
2017Co-Authors: Kiao InthavongAbstract:A reconstructed Nasal Cavity from CT-scans. The Nasal Cavity is in .tin file format. The demographic data for the model is a healthy 25 year old, healthy non-smoking Asian male (170 cm height, 75 kg mass)Journal publications using this model:Nasal SPRAY DRUG DELIVERYInthavong, K. Tian ZF, Tu JY, Yang W, Xue C (2008) Optimising Nasal spray parameters for efficient drug delivery using computational fluid dynamics. Computers in Biology and Medicine 38(6):713-26.Tian ZF, Inthavong, K. Tu JY (2007) Deposition of inhaled wood dust in the Nasal Cavity. Inhalation Toxicology 19(14):1155-65Inthavong, K. Tian ZF, Li HF, Tu JY, Yang W, Xue CL (2006) A numerical study of spray particle deposition in a human Nasal Cavity. Aerosol Science Technology 40(11):1034-45INHALATION TOXICOLOGYKing Se CM, Inthavong, K. Tu J. (2010) Inhalability of micron particles through the nose and mouth. Inhalation Toxicology 22(4):287-300.Inthavong, K. Tu JY, Ahmadi G. (2009) Computational modelling of gas-particle flows with different particle morphology in the human Nasal Cavity Journal of Computational Multiphase Flows 1(1):57-82Wang SM, Inthavong, K. Wen J, Tu JY, Xue CL (2009) Comparison of micron- and nanoparticle deposition patterns in a realistic human Nasal Cavity. Respiratory Physiology Neurobiology 166(3):142-151Inthavong, K. Wen J, Tian ZF, Tu JY. (2008) Numerical study of fibre deposition in a human Nasal Cavity. Journal of Aerosol Science 39(3):253-65.RESPIRATORY PHYSIOLOGYInthavong, K. Tu J, Ye Y, Ding S, Subic A, Thien F. (2010) Effects of airway obstruction induced by asthma attack on particle deposition. Journal of Aerosol Science 41(6):587-601.Inthavong, K. Choi L-T, Tu J, Ding S, Thien F. (2010) Micron particle deposition in a tracheobronchial airway model under different breathing conditions. Medical Engineering ;amps Physics 32(10):1198-212.Se, C., Inthavong, K. and Tu, J.Y. (2010). Unsteady particle deposition in a human Nasal Cavity during inhalation. Journal of Computational Multiphase Flows 2:207-218Inthavong, K. Wen J, Tu JY, Tian ZF, (2009) From CT scans to CFD modelling fluid and heat transfer in a realistic human Nasal Cavity. Engineering Applications of Computational Fluid Mechanics 3(3):321-35.Wen J, Inthavong, K. Tu JY, Wang S (2008) Numerical simulations for detailed airflow dynamics in a human Nasal Cavity. Respiratory Physiology Neurobiology 161:125-35
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detailed micro particle deposition patterns in the human Nasal Cavity influenced by the breathing zone
Computers & Fluids, 2015Co-Authors: Yidan Shang, Kiao InthavongAbstract:Abstract The breathing region connects the Nasal Cavity with the outside environmental air where flow is accelerated through the nostrils. Particles introduced into the Nasal Cavity without considering the breathing region neglect the influence of facial features and realistic boundary conditions at the nostrils. In this study, a new Nasal Cavity model is reconstructed combining facial features and an ambient environment focusing on the breathing region. The inhaled air from outside the nose is investigated and compared with a model that consists of the Nasal Cavity alone. An improved 2D surface mapping technique is applied to the 3D Nasal Cavity to visualize the particle deposition patterns onto a planar geometry. Using this technique, deposition of micron particles from 0.4 μm to 30 μm were investigated, and trajectories of 2.5 μm, 10 μm and 20 μm were compared with the ‘Nasal-only’ case. Particle deposition efficiency curves and particle trajectories are plotted to show that the inclusion of the external nose and breathing region causes: (i) a change in the fluid flow within the anterior Nasal Cavity half but the flow patterns regulate in the posterior half; (ii) minimal difference for 2.5 μm particle deposition patterns; (iii) significant differences in 10 and 20 μm particle deposition patterns where more particles are deposited in the posterior Nasal regions.
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particle inhalation and deposition in a human Nasal Cavity from the external surrounding environment
Building and Environment, 2012Co-Authors: Kiao InthavongAbstract:Abstract CFD computations of particle flows in a human Nasal Cavity were conducted, using two types of inlet velocity profiles at the nostril openings respectively. One type is the widely used uniform inlet velocity profile while the other is a realistic inlet velocity profile extracted from the external environment that is influenced by facial features. The latter type of inlet velocity profiles were obtained through CFD computations of indoor gas-particle flows around a human head geometry containing detailed facial features in an enclosed space. Comparisons were made between the predicted results of airflow field, particle tracks and particle deposition efficiency in the Nasal Cavity. It was revealed that although the effects of facial features exist only in a small region (10–20 mm) in front of the face, they lead to complicated, and non-uniform velocity profiles at the nostril openings. This discrepancy leads to different predictions of airflow fields and local particle deposition efficiency in the Nasal Cavity, especially in the anterior regions such as the vestibule and Nasal valve. The results may further lead to discrepant health-risk assessments associated with particle inhalation. Therefore, for CFD simulations of particle deposition in the Nasal Cavity, the inlet velocity profiles induced by facial features are important for more realistic results.
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simulation of sprayed particle deposition in a human Nasal Cavity including a Nasal spray device
Journal of Aerosol Science, 2011Co-Authors: Kiao Inthavong, Qinjiang Ge, Camby M K Se, W Yang, Jiyuan TuAbstract:Effective Nasal drug delivery is highly dependent on the delivery of drug from the Nasal spray device. Atomisation of liquid spray occurs through the internal atomizer that can produce many forms of spray patterns and two of these, hollow-cone and full-cone sprays, are evaluated in this study to determine which spray pattern produced greater deposition in the middle regions of the Nasal Cavity. Past studies of spray particle deposition have ignored the device within the Nasal Cavity. Using computational fluid dynamics (CFD), two computational models of human Nasal Cavity model were reconstructed from CT-scans, where the difference between the two models was the presence of the Nasal spray device accounting for the airway blockage at one of the nostrils. Experimental measurements from Particle Droplet Image Analyser (PDIA) were taken in order to gain confidence in determining the initial particle conditions for the computational models. An airflow field is induced through a negative pressure flow condition applied at the pharynx instead of constant flow rates at the left and the right Nasal cavities. Subsequent airflow patterns and its effects on particle deposition, with and without a spray device, are compared. Contours and streamlines of the flow field revealed that the presence of a spray device in the Nasal vestibule produced higher levels of disturbed flow, which helped the dispersion of the sprayed particles. Particle deposition was found to be high in the anterior regions of the Nasal Cavity caused by its inertia. Evaluation of the two spray types found that hollow spray cones produced more deposition in the middle regions of the Nasal Cavity. This paper also demonstrates the CFD methodology used, which can help in better understanding the design of future atomizers for Nasal spray use.
Dana M Thompson - One of the best experts on this subject based on the ideXlab platform.
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giant cell reparative granuloma of the Nasal Cavity
American Journal of Neuroradiology, 2004Co-Authors: Jonathan M Morris, John I Lane, Robert J Witte, Dana M ThompsonAbstract:We report an unusual case of giant cell reparative granuloma (GCRG) arising in the Nasal Cavity of a 7-year-old girl. GCRG is an uncommon benign lesion that is most commonly found in the mandible and maxilla. The MR imaging and CT findings of this lesion, as well as GCRGs in other craniofacial bones and extragnathic sites, will be reviewed. Although rare, the imaging characteristics of GCRGs should be recognized, and this entity should be suggested when the clinical information, CT, and MR features suggest a fibrous-osseous lesion in the Nasal Cavity.
Fatemeh Hassannia - One of the best experts on this subject based on the ideXlab platform.
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giant cell reparative granuloma of Nasal Cavity a case report
Journal of Cranio-maxillofacial Surgery, 2010Co-Authors: Shabahang Mohammadi, Fatemeh HassanniaAbstract:Giant cell reparative granuloma (GCRG) is an unusual, nonneoplastic lesion affecting maxillary and mandibular bones. GCRG of the Nasal Cavity is exceedingly rare. To the best of our knowledge only few of such cases have been previously reported. Being a soft fleshy lesion of bone, it tends to have a benign course, not aggressive and it often recurs following incomplete excision. We report the case of a man with a GCRG of Nasal Cavity. We discuss the clinical presentation, differential diagnosis, histological evaluation and appearance on computed tomography and MRI.
Jiyuan Tu - One of the best experts on this subject based on the ideXlab platform.
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simulation of sprayed particle deposition in a human Nasal Cavity including a Nasal spray device
Journal of Aerosol Science, 2011Co-Authors: Kiao Inthavong, Qinjiang Ge, Camby M K Se, W Yang, Jiyuan TuAbstract:Effective Nasal drug delivery is highly dependent on the delivery of drug from the Nasal spray device. Atomisation of liquid spray occurs through the internal atomizer that can produce many forms of spray patterns and two of these, hollow-cone and full-cone sprays, are evaluated in this study to determine which spray pattern produced greater deposition in the middle regions of the Nasal Cavity. Past studies of spray particle deposition have ignored the device within the Nasal Cavity. Using computational fluid dynamics (CFD), two computational models of human Nasal Cavity model were reconstructed from CT-scans, where the difference between the two models was the presence of the Nasal spray device accounting for the airway blockage at one of the nostrils. Experimental measurements from Particle Droplet Image Analyser (PDIA) were taken in order to gain confidence in determining the initial particle conditions for the computational models. An airflow field is induced through a negative pressure flow condition applied at the pharynx instead of constant flow rates at the left and the right Nasal cavities. Subsequent airflow patterns and its effects on particle deposition, with and without a spray device, are compared. Contours and streamlines of the flow field revealed that the presence of a spray device in the Nasal vestibule produced higher levels of disturbed flow, which helped the dispersion of the sprayed particles. Particle deposition was found to be high in the anterior regions of the Nasal Cavity caused by its inertia. Evaluation of the two spray types found that hollow spray cones produced more deposition in the middle regions of the Nasal Cavity. This paper also demonstrates the CFD methodology used, which can help in better understanding the design of future atomizers for Nasal spray use.
Jonathan M Morris - One of the best experts on this subject based on the ideXlab platform.
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giant cell reparative granuloma of the Nasal Cavity
American Journal of Neuroradiology, 2004Co-Authors: Jonathan M Morris, John I Lane, Robert J Witte, Dana M ThompsonAbstract:We report an unusual case of giant cell reparative granuloma (GCRG) arising in the Nasal Cavity of a 7-year-old girl. GCRG is an uncommon benign lesion that is most commonly found in the mandible and maxilla. The MR imaging and CT findings of this lesion, as well as GCRGs in other craniofacial bones and extragnathic sites, will be reviewed. Although rare, the imaging characteristics of GCRGs should be recognized, and this entity should be suggested when the clinical information, CT, and MR features suggest a fibrous-osseous lesion in the Nasal Cavity.
