The effect of airway motion and breathing phase during imaging on CFD simulations of respiratory airflow
暂无分享,去创建一个
Chamindu C Gunatilaka | Andreas Schuh | Nara S Higano | Jason C Woods | Alister J Bates | A. Schuh | J. Woods | N. Higano | A. Bates | C. C. Gunatilaka | C. Gunatilaka
[1] Guillaume Houzeaux,et al. Large-scale CFD simulations of the transitional and turbulent regime for the large human airways during rapid inhalation , 2016, Comput. Biol. Medicine.
[2] Andreas Schuh,et al. A novel method to generate dynamic boundary conditions for airway CFD by mapping upper airway movement with non‐rigid registration of dynamic and static MRI , 2018, International journal for numerical methods in biomedical engineering.
[3] Shinjiro Miyawaki,et al. Effect of static vs. dynamic imaging on particle transport in CT-based numerical models of human central airways. , 2016, Journal of aerosol science.
[4] Raanan Arens,et al. Noninvasive estimation of pharyngeal airway resistance and compliance in children based on volume-gated dynamic MRI and computational fluid dynamics. , 2011, Journal of applied physiology.
[5] Prone versus supine positioning in the well preterm infant: Effects on work of breathing and breathing patterns , 2006, Pediatric pulmonology.
[6] Shanmugam Murugappan,et al. Computational Modeling of Upper Airway Before and After Adenotonsillectomy for Obstructive Sleep Apnea , 2008, The Laryngoscope.
[7] Shanmugam Murugappan,et al. Validation of computational fluid dynamics methodology used for human upper airway flow simulations. , 2009, Journal of biomechanics.
[8] Thierry Legou,et al. Realistic glottal motion and airflow rate during human breathing. , 2015, Medical engineering & physics.
[9] Gabriel Taubin,et al. Curve and surface smoothing without shrinkage , 1995, Proceedings of IEEE International Conference on Computer Vision.
[10] Sean B Fain,et al. Neonatal Pulmonary Magnetic Resonance Imaging of Bronchopulmonary Dysplasia Predicts Short‐Term Clinical Outcomes , 2018, American journal of respiratory and critical care medicine.
[11] Shanmugam Murugappan,et al. Large Eddy Simulation and Reynolds-Averaged Navier-Stokes modeling of flow in a realistic pharyngeal airway model: an investigation of obstructive sleep apnea. , 2008, Journal of biomechanics.
[12] David A. Steinman,et al. A Framework for Geometric Analysis of Vascular Structures: Application to Cerebral Aneurysms , 2009, IEEE Transactions on Medical Imaging.
[13] D J Doorly,et al. Power loss mechanisms in pathological tracheas. , 2016, Journal of biomechanics.
[14] Ronald G. Pratt,et al. Characterization of acoustic noise in a neonatal intensive care unit MRI system , 2014, Pediatric Radiology.
[15] Sean B Fain,et al. Retrospective respiratory self‐gating and removal of bulk motion in pulmonary UTE MRI of neonates and adults , 2017, Magnetic resonance in medicine.
[16] F. Nicoud,et al. Subgrid-Scale Stress Modelling Based on the Square of the Velocity Gradient Tensor , 1999 .
[17] V. Bhutani,et al. Evaluation of neonatal pulmonary mechanics and energetics: A two factor least mean square analysis , 1988, Pediatric pulmonology.
[18] J. Udupa,et al. Computational fluid dynamics modeling of the upper airway of children with obstructive sleep apnea syndrome in steady flow. , 2006, Journal of biomechanics.
[19] Mark McQuilling,et al. Pharyngeal Airflow Analysis in Obstructive Sleep Apnea Patients Pre- and Post-Maxillomandibular Advancement Surgery , 2009 .
[20] Hualiang Zhong,et al. Effects of glottis motion on airflow and energy expenditure in a human upper airway model , 2018, European Journal of Mechanics - B/Fluids.
[21] J. Woods,et al. Magentic Resonance Imaging Evaluation of Regional Lung Vts in Severe Neonatal Bronchopulmonary Dysplasia , 2020, American Journal of Respiratory and Critical Care Medicine.
[22] R. Habib,et al. Changes in lung volume and work of breathing: A comparison of two variable‐flow nasal continuous positive airway pressure devices in very low birth weight infants , 2003, Pediatric pulmonology.
[23] Volker Gravemeier,et al. A novel formulation for Neumann inflow boundary conditions in biomechanics , 2012, International journal for numerical methods in biomedical engineering.
[24] J. Pipe,et al. Sampling density compensation in MRI: Rationale and an iterative numerical solution , 1999, Magnetic resonance in medicine.
[25] S. Fain,et al. Quantitative Assessment of Regional Dynamic Airway Collapse in Neonates via Retrospectively Respiratory‐Gated 1H Ultrashort Echo Time MRI , 2018, Journal of magnetic resonance imaging : JMRI.
[26] Sean B Fain,et al. Pulmonary MRI of neonates in the intensive care unit using 3D ultrashort echo time and a small footprint MRI system , 2017, Journal of magnetic resonance imaging : JMRI.
[27] M. Weiss,et al. Lower airway dimensions in pediatric patients—A computed tomography study , 2017, Paediatric anaesthesia.
[28] A. Comerford,et al. Computational fluid dynamics benchmark dataset of airflow in tracheas , 2016, Data in brief.
[29] Eric A. Hoffman,et al. A 4DCT imaging-based breathing lung model with relative hysteresis , 2016, J. Comput. Phys..
[30] R. Habib,et al. Work of breathing during constant- and variable-flow nasal continuous positive airway pressure in preterm neonates. , 2001, Pediatrics.
[31] Kevin M. Johnson,et al. Optimized 3D ultrashort echo time pulmonary MRI , 2013, Magnetic resonance in medicine.
[32] R. Fleck,et al. Ultrashort Echo-time MRI for the Assessment of Tracheomalacia in Neonates. , 2019, Chest.
[33] Clement Kleinstreuer,et al. Low-Reynolds-Number Turbulent Flows in Locally Constricted Conduits: A Comparison Study , 2003 .
[34] E. Inada,et al. Influence of pharyngeal airway respiration pressure on Class II mandibular retrusion in children: A computational fluid dynamics study of inspiration and expiration. , 2017, Orthodontics & craniofacial research.
[35] Beth M Kline-Fath,et al. MRI in the neonatal ICU: initial experience using a small-footprint 1.5-T system. , 2014, AJR. American journal of roentgenology.
[36] Jean A. Tkach,et al. An MRI system for imaging neonates in the NICU: initial feasibility study , 2012, Pediatric Radiology.
[37] Prathish K. Rajaraman,et al. Transport and deposition of hygroscopic particles in asthmatic subjects with and without airway narrowing , 2020, Journal of Aerosol Science.
[38] S. Merhar,et al. Elevated lung volumes in neonates with bronchopulmonary dysplasia measured via MRI , 2019, Pediatric pulmonology.
[39] D. Doorly,et al. The effects of curvature and constriction on airflow and energy loss in pathological tracheas , 2016, Respiratory Physiology & Neurobiology.
[40] Raanan Arens,et al. Changes in upper airway size during tidal breathing in children with obstructive sleep apnea syndrome. , 2005, American journal of respiratory and critical care medicine.
[41] Kazuhide Ito,et al. Investigation of flow pattern in upper human airway including oral and nasal inhalation by PIV and CFD , 2015 .
[42] Charles L. Dumoulin,et al. Assessing the relationship between movement and airflow in the upper airway using computational fluid dynamics with motion determined from magnetic resonance imaging. , 2017, Clinical biomechanics.
[43] H. Tiddens,et al. Tracheomalacia and bronchomalacia in children: incidence and patient characteristics. , 2005, Chest.
[44] D. Doorly,et al. Inflow boundary profile prescription for numerical simulation of nasal airflow , 2010, Journal of The Royal Society Interface.
[45] Minsuok Kim,et al. 3D phase contrast MRI in models of human airways: Validation of computational fluid dynamics simulations of steady inspiratory flow , 2018, Journal of magnetic resonance imaging : JMRI.
[46] F L Wuyts,et al. Computational fluid dynamics can detect changes in airway resistance in asthmatics after acute bronchodilation. , 2008, Journal of biomechanics.
[47] Irfan Anjum Badruddin,et al. Computational fluid dynamics modelling of human upper airway: A review , 2020, Computer Methods and Programs in Biomedicine.
[48] E. Hoffman,et al. Characteristics of the turbulent laryngeal jet and its effect on airflow in the human intra-thoracic airways , 2007, Respiratory Physiology & Neurobiology.
[49] Seth M. Cohen,et al. Investigating the effects of laryngotracheal stenosis on upper airway aerodynamics , 2018, The Laryngoscope.
[50] Guido Gerig,et al. User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability , 2006, NeuroImage.
[51] Chris Lacor,et al. Tracheal stenosis: a flow dynamics study. , 2007, Journal of applied physiology.
[52] Dennis O. Frank-Ito,et al. Changes in aerodynamics during vocal cord dysfunction , 2015, Comput. Biol. Medicine.
[53] Jiyuan Tu,et al. Effects of airway obstruction induced by asthma attack on particle deposition , 2010 .
[54] S. Fain,et al. Increased Work of Breathing Due to Tracheomalacia in Neonates. , 2020, Annals of the American Thoracic Society.
[55] A. Macovski,et al. Selection of a convolution function for Fourier inversion using gridding [computerised tomography application]. , 1991, IEEE transactions on medical imaging.