Dynamic flow characteristics in normal and asthmatic lungs
Summary Complex flow patterns exist within the asymmetric branching airway network in the lungs. These flow patterns are known to become increasingly heterogeneous during disease as a result of various mechanisms such as bronchoconstriction or alterations in lung tissue compliance. Here, we present...
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Published in | International journal for numerical methods in biomedical engineering Vol. 31; no. 12 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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England
Blackwell Publishing Ltd
01.12.2015
Wiley Subscription Services, Inc |
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Abstract | Summary
Complex flow patterns exist within the asymmetric branching airway network in the lungs. These flow patterns are known to become increasingly heterogeneous during disease as a result of various mechanisms such as bronchoconstriction or alterations in lung tissue compliance. Here, we present a coupled model of tissue deformation and network airflow enabling predictions of dynamic flow properties, including temporal flow rate, pressure distribution, and the occurrence of reverse flows. We created two patient‐specific airway geometries, one for a healthy subject and one for a severe asthmatic subject, derived using a combination of high‐resolution CT data and a volume‐filling branching algorithm. In addition, we created virtually constricted airway geometry by reducing the airway radii of the healthy subject model. The flow model was applied to these three different geometries to solve the pressure and flow distribution over a breathing cycle. The differences in wave phase of the flows in parallel airways induced by asymmetric airway geometry and bidirectional interaction between intra‐acinar and airway network pressures were small in central airways but were more evident in peripheral airways. The asthmatic model showed elevated ventilation heterogeneity and significant flow disturbance. The reverse flows in the asthmatic model not only altered the local flow characteristics but also affected total lung resistance. The clinical significance of temporal flow disturbance on lung ventilation in normal airway model is obscure. However, increased flow disturbance and ventilation heterogeneity observed in the asthmatic model suggests that reverse flow may be an important factor for asthmatic lung function. Copyright © 2015 John Wiley & Sons, Ltd.
We modeled dynamic pressure and flow changes in normal, virtually constricted and asthmatic airway geometries using a fully coupled model of airway dynamics and an airway network system. The asthmatic airway model showed elevated ventilation heterogeneity and temporal flow disturbance, reverse flow, which ultimately affected total lung resistance. This study suggests that dynamic flow characteristics may be an important factor for asthmatic lung function. |
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AbstractList | Complex flow patterns exist within the asymmetric branching airway network in the lungs. These flow patterns are known to become increasingly heterogeneous during disease as a result of various mechanisms such as bronchoconstriction or alterations in lung tissue compliance. Here, we present a coupled model of tissue deformation and network airflow enabling predictions of dynamic flow properties, including temporal flow rate, pressure distribution, and the occurrence of reverse flows. We created two patient-specific airway geometries, one for a healthy subject and one for a severe asthmatic subject, derived using a combination of high-resolution CT data and a volume-filling branching algorithm. In addition, we created virtually constricted airway geometry by reducing the airway radii of the healthy subject model. The flow model was applied to these three different geometries to solve the pressure and flow distribution over a breathing cycle. The differences in wave phase of the flows in parallel airways induced by asymmetric airway geometry and bidirectional interaction between intra-acinar and airway network pressures were small in central airways but were more evident in peripheral airways. The asthmatic model showed elevated ventilation heterogeneity and significant flow disturbance. The reverse flows in the asthmatic model not only altered the local flow characteristics but also affected total lung resistance. The clinical significance of temporal flow disturbance on lung ventilation in normal airway model is obscure. However, increased flow disturbance and ventilation heterogeneity observed in the asthmatic model suggests that reverse flow may be an important factor for asthmatic lung function. Summary Complex flow patterns exist within the asymmetric branching airway network in the lungs. These flow patterns are known to become increasingly heterogeneous during disease as a result of various mechanisms such as bronchoconstriction or alterations in lung tissue compliance. Here, we present a coupled model of tissue deformation and network airflow enabling predictions of dynamic flow properties, including temporal flow rate, pressure distribution, and the occurrence of reverse flows. We created two patient‐specific airway geometries, one for a healthy subject and one for a severe asthmatic subject, derived using a combination of high‐resolution CT data and a volume‐filling branching algorithm. In addition, we created virtually constricted airway geometry by reducing the airway radii of the healthy subject model. The flow model was applied to these three different geometries to solve the pressure and flow distribution over a breathing cycle. The differences in wave phase of the flows in parallel airways induced by asymmetric airway geometry and bidirectional interaction between intra‐acinar and airway network pressures were small in central airways but were more evident in peripheral airways. The asthmatic model showed elevated ventilation heterogeneity and significant flow disturbance. The reverse flows in the asthmatic model not only altered the local flow characteristics but also affected total lung resistance. The clinical significance of temporal flow disturbance on lung ventilation in normal airway model is obscure. However, increased flow disturbance and ventilation heterogeneity observed in the asthmatic model suggests that reverse flow may be an important factor for asthmatic lung function. Copyright © 2015 John Wiley & Sons, Ltd. We modeled dynamic pressure and flow changes in normal, virtually constricted and asthmatic airway geometries using a fully coupled model of airway dynamics and an airway network system. The asthmatic airway model showed elevated ventilation heterogeneity and temporal flow disturbance, reverse flow, which ultimately affected total lung resistance. This study suggests that dynamic flow characteristics may be an important factor for asthmatic lung function. Complex flow patterns exist within the asymmetric branching airway network in the lungs. These flow patterns are known to become increasingly heterogeneous during disease as a result of various mechanisms such as bronchoconstriction or alterations in lung tissue compliance. Here, we present a coupled model of tissue deformation and network airflow enabling predictions of dynamic flow properties, including temporal flow rate, pressure distribution, and the occurrence of reverse flows. We created two patient-specific airway geometries, one for a healthy subject and one for a severe asthmatic subject, derived using a combination of high-resolution CT data and a volume-filling branching algorithm. In addition, we created virtually constricted airway geometry by reducing the airway radii of the healthy subject model. The flow model was applied to these three different geometries to solve the pressure and flow distribution over a breathing cycle. The differences in wave phase of the flows in parallel airways induced by asymmetric airway geometry and bidirectional interaction between intra-acinar and airway network pressures were small in central airways but were more evident in peripheral airways. The asthmatic model showed elevated ventilation heterogeneity and significant flow disturbance. The reverse flows in the asthmatic model not only altered the local flow characteristics but also affected total lung resistance. The clinical significance of temporal flow disturbance on lung ventilation in normal airway model is obscure. However, increased flow disturbance and ventilation heterogeneity observed in the asthmatic model suggests that reverse flow may be an important factor for asthmatic lung function.Complex flow patterns exist within the asymmetric branching airway network in the lungs. These flow patterns are known to become increasingly heterogeneous during disease as a result of various mechanisms such as bronchoconstriction or alterations in lung tissue compliance. Here, we present a coupled model of tissue deformation and network airflow enabling predictions of dynamic flow properties, including temporal flow rate, pressure distribution, and the occurrence of reverse flows. We created two patient-specific airway geometries, one for a healthy subject and one for a severe asthmatic subject, derived using a combination of high-resolution CT data and a volume-filling branching algorithm. In addition, we created virtually constricted airway geometry by reducing the airway radii of the healthy subject model. The flow model was applied to these three different geometries to solve the pressure and flow distribution over a breathing cycle. The differences in wave phase of the flows in parallel airways induced by asymmetric airway geometry and bidirectional interaction between intra-acinar and airway network pressures were small in central airways but were more evident in peripheral airways. The asthmatic model showed elevated ventilation heterogeneity and significant flow disturbance. The reverse flows in the asthmatic model not only altered the local flow characteristics but also affected total lung resistance. The clinical significance of temporal flow disturbance on lung ventilation in normal airway model is obscure. However, increased flow disturbance and ventilation heterogeneity observed in the asthmatic model suggests that reverse flow may be an important factor for asthmatic lung function. Summary Complex flow patterns exist within the asymmetric branching airway network in the lungs. These flow patterns are known to become increasingly heterogeneous during disease as a result of various mechanisms such as bronchoconstriction or alterations in lung tissue compliance. Here, we present a coupled model of tissue deformation and network airflow enabling predictions of dynamic flow properties, including temporal flow rate, pressure distribution, and the occurrence of reverse flows. We created two patient-specific airway geometries, one for a healthy subject and one for a severe asthmatic subject, derived using a combination of high-resolution CT data and a volume-filling branching algorithm. In addition, we created virtually constricted airway geometry by reducing the airway radii of the healthy subject model. The flow model was applied to these three different geometries to solve the pressure and flow distribution over a breathing cycle. The differences in wave phase of the flows in parallel airways induced by asymmetric airway geometry and bidirectional interaction between intra-acinar and airway network pressures were small in central airways but were more evident in peripheral airways. The asthmatic model showed elevated ventilation heterogeneity and significant flow disturbance. The reverse flows in the asthmatic model not only altered the local flow characteristics but also affected total lung resistance. The clinical significance of temporal flow disturbance on lung ventilation in normal airway model is obscure. However, increased flow disturbance and ventilation heterogeneity observed in the asthmatic model suggests that reverse flow may be an important factor for asthmatic lung function. Copyright © 2015 John Wiley & Sons, Ltd. Complex flow patterns exist within the asymmetric branching airway network in the lungs. These flow patterns are known to become increasingly heterogeneous during disease as a result of various mechanisms such as bronchoconstriction or alterations in lung tissue compliance. Here, we present a coupled model of tissue deformation and network airflow enabling predictions of dynamic flow properties, including temporal flow rate, pressure distribution, and the occurrence of reverse flows. We created two patient‐specific airway geometries, one for a healthy subject and one for a severe asthmatic subject, derived using a combination of high‐resolution CT data and a volume‐filling branching algorithm. In addition, we created virtually constricted airway geometry by reducing the airway radii of the healthy subject model. The flow model was applied to these three different geometries to solve the pressure and flow distribution over a breathing cycle. The differences in wave phase of the flows in parallel airways induced by asymmetric airway geometry and bidirectional interaction between intra‐acinar and airway network pressures were small in central airways but were more evident in peripheral airways. The asthmatic model showed elevated ventilation heterogeneity and significant flow disturbance. The reverse flows in the asthmatic model not only altered the local flow characteristics but also affected total lung resistance. The clinical significance of temporal flow disturbance on lung ventilation in normal airway model is obscure. However, increased flow disturbance and ventilation heterogeneity observed in the asthmatic model suggests that reverse flow may be an important factor for asthmatic lung function. Copyright © 2015 John Wiley & Sons, Ltd. |
Author | Bordas, Rafel Brightling, Chris E. Kay, David Burrowes, Kelly S. Kim, Minsuok Vos, Wim Hartley, Ruth A. Grau, Vicente |
Author_xml | – sequence: 1 givenname: Minsuok surname: Kim fullname: Kim, Minsuok email: Correspondence to: Minsuok Kim, Department of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford, OX1 3QD, UK., minsuok.kim@cs.ox.ac.uk organization: Department of Computer Science, University of Oxford, Oxford, UK – sequence: 2 givenname: Rafel surname: Bordas fullname: Bordas, Rafel organization: Department of Computer Science, University of Oxford, Oxford, UK – sequence: 3 givenname: Wim surname: Vos fullname: Vos, Wim organization: FluidDA, Groeningenlei 132, 2550, Kontich, Belgium – sequence: 4 givenname: Ruth A. surname: Hartley fullname: Hartley, Ruth A. organization: Institute for Lung Health, Department of Infection, Immunity and Inflammation, University Hospitals of Leicester, Leicester, UK – sequence: 5 givenname: Chris E. surname: Brightling fullname: Brightling, Chris E. organization: Institute for Lung Health, Department of Infection, Immunity and Inflammation, University Hospitals of Leicester, Leicester, UK – sequence: 6 givenname: David surname: Kay fullname: Kay, David organization: Department of Computer Science, University of Oxford, Oxford, UK – sequence: 7 givenname: Vicente surname: Grau fullname: Grau, Vicente organization: Institute of Biomedical Engineering, Department of Engineering Science and Oxford e-Research Centre, University of Oxford, Oxford, UK – sequence: 8 givenname: Kelly S. surname: Burrowes fullname: Burrowes, Kelly S. organization: Department of Computer Science, University of Oxford, Oxford, UK |
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Cites_doi | 10.1152/japplphysiol.01163.2010 10.1038/nature03490 10.1152/japplphysiol.01133.2007 10.1152/jappl.1968.24.3.373 10.1152/japplphysiol.00391.2005 10.1148/radiol.10100322 10.1016/j.jbiomech.2008.06.018 10.1136/thx.2006.069682 10.1016/0034-5687(70)90093-9 10.1152/japplphysiol.01186.2003 10.1152/jappl.1956.8.4.427 10.1016/j.resp.2007.02.006 10.1016/j.jtbi.2012.01.042 10.1152/jappl.1988.65.1.146 10.1152/japplphysiol.00324.2009 10.1016/S0140-6736(04)16900-6 10.1088/0967-3334/27/8/001 10.1159/000319563 10.1155/2012/139395 10.1164/ajrccm.150.3.8087331 10.1111/j.1440-1843.2011.01925.x 10.1016/j.jbiomech.2011.02.011 10.1152/japplphysiol.00795.2004 10.1007/s11517-008-0420-1 10.1152/jappl.1956.8.6.587 10.1152/japplphysiol.00520.2004 10.1002/cnm.2577 |
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References | De Backer JW et al. Validation of computational fluid dynamics in CT-based airway models with SPECT/CT. Radiology 2010; 257(3):854-862. Ismail M, Comerford A, Wall WA. Coupled and reduced dimensional modeling of respiratory mechanics during spontaneous breathing. International Journal for Numerical Methods in Biomedical Engineering 2013; 29(11):1285-1305. Tawhai MH et al. Supine and prone differences in regional lung density and pleural pressure gradients in the human lung with constant shape. Journal of Applied Physiology 2009; 107(3):912-920. Tzeng YS, Lutchen K, Albert M. The difference in ventilation heterogeneity between asthmatic and healthy subjects quantified using hyperpolarized 3He MRI. Journal of Applied Physiology 2009; 106(3):813-822. van Ertbruggen C, Hirsch C, Paiva M. Anatomically based three-dimensional model of airways to simulate flow and particle transport using computational fluid dynamics. Journal of Applied Physiology 2005; 98(3):970-980. Kang MY, Hwang J, Lee JW. Effect of geometric variations on pressure loss for a model bifurcation of the human lung airway. Journal of Biomechanics 2011; 44(6):1196-1199. Gonzalez A et al. Supramaximal flows: comparison between asthmatics and patients with chronic obstructive pulmonary disease. Respiration 2011; 81(3):206-210. Ultman JS et al. Pendelluft and mixing in a single bifurcation lung model during high-frequency oscillation. Journal of Applied Physiology 1988; 65(1):146-155. Weibel ER. Morphometry of the human lung: the state of the art after two decades. Bulletin Européen de Physiopathologie Respiratoire 1979; 15(5):999-1013. Kotaru C et al. Morphometric changes after thermal and methacholine bronchoprovocations. Journal of Applied Physiology 2005; 98(3):1028-1036. Lee WJ, Kawahashi M, Hirahara H. Experimental analysis of pendelluft flow generated by HFOV in a human airway model. Physiological Measurement 2006; 27(8):661-674. Dubois AB et al. Oscillation mechanics of lungs and chest in man. Journal of Applied Physiology 1956; 8(6):587-594. Venegas JG et al. Self-organized patchiness in asthma as a prelude to catastrophic shifts. Nature 2005; 434(7034):777-782. Pedley TJ, Schroter RC, Sudlow MF. Energy losses and pressure drop in models of human airways. Respiration Physiology 1970; 9(3):371-386. Downie SR et al. Ventilation heterogeneity is a major determinant of airway hyperresponsiveness in asthma, independent of airway inflammation. Thorax 2007; 62(8):684-689. Antiga L et al. An image-based modeling framework for patient-specific computational hemodynamics. Medical & Biological Engineering & Computing 2008; 46(11):1097-1112. Luo HY, Liu Y. Modeling the bifurcating flow in a CT-scanned human lung airway. Journal of Biomechanics 2008; 41(12):2681-2688. Vyshedskiy A, Murphy R. Pendelluft in chronic obstructive lung disease measured with lung sounds. Pulm Med 2012; 2012:139395. Horsfield K, Cumming G. Morphology of the bronchial tree in man. Journal of Applied Physiology 1968; 24(3):373-383. Tawhai MH et al. CT-based geometry analysis and finite element models of the human and ovine bronchial tree. Journal of Applied Physiology 2004; 97(6):2310-2321. Kitaoka H. The origin of frequency dependence of respiratory resistance: an airflow simulation study using a 4D pulmonary lobule model. Respirology 2011; 16(3):517-522. Tgavalekos NT et al. Identifying airways responsible for heterogeneous ventilation and mechanical dysfunction in asthma: an image functional modeling approach. Journal of Applied Physiology 2005; 99(6):2388-2397. Otis AB et al. Mechanical factors in distribution of pulmonary ventilation. Journal of Applied Physiology 1956; 8(4):427-443. Morrell NW et al. Collateral ventilation and gas exchange in emphysema. American Journal of Respiratory and Critical Care Medicine 1994; 150(3):635-641. Lin CL et al. Characteristics of the turbulent laryngeal jet and its effect on airflow in the human intra-thoracic airways. Respiratory Physiology & Neurobiology 2007; 157(2-3):295-309. Winkler T, Venegas JG. Self-organized patterns of airway narrowing. Journal of Applied Physiology 2011; 110(5):1482-1486. Hogg JC. Pathophysiology of airflow limitation in chronic obstructive pulmonary disease. The Lancet 2004; 364(9435):709-721. Swan AJ, Clark AR, Tawhai MH. A computational model of the topographic distribution of ventilation in healthy human lungs. Journal of Theoretical Biology 2012; 300:222-231. 1970; 9 2004; 364 2013; 29 1968; 24 2012; 2012 1979; 15 2012; 300 2011; 81 2005; 434 1994; 150 2011; 16 2011; 110 2007; 157 2004; 97 2010; 257 2006; 27 1988; 65 2011; 44 1956; 8 2008; 46 2005; 98 2007; 62 2008; 41 2009; 107 2005; 99 2009; 106 e_1_2_7_6_1 e_1_2_7_4_1 e_1_2_7_3_1 e_1_2_7_9_1 e_1_2_7_8_1 e_1_2_7_7_1 e_1_2_7_19_1 e_1_2_7_18_1 e_1_2_7_16_1 e_1_2_7_2_1 e_1_2_7_15_1 e_1_2_7_14_1 e_1_2_7_13_1 e_1_2_7_12_1 e_1_2_7_11_1 e_1_2_7_10_1 e_1_2_7_26_1 e_1_2_7_27_1 e_1_2_7_28_1 e_1_2_7_29_1 e_1_2_7_24_1 e_1_2_7_23_1 e_1_2_7_22_1 e_1_2_7_21_1 Ultman JS (e_1_2_7_25_1) 1988; 65 e_1_2_7_20_1 Otis AB (e_1_2_7_5_1) 1956; 8 Weibel ER (e_1_2_7_17_1) 1979; 15 |
References_xml | – reference: Ismail M, Comerford A, Wall WA. Coupled and reduced dimensional modeling of respiratory mechanics during spontaneous breathing. International Journal for Numerical Methods in Biomedical Engineering 2013; 29(11):1285-1305. – reference: Tzeng YS, Lutchen K, Albert M. The difference in ventilation heterogeneity between asthmatic and healthy subjects quantified using hyperpolarized 3He MRI. Journal of Applied Physiology 2009; 106(3):813-822. – reference: Weibel ER. Morphometry of the human lung: the state of the art after two decades. Bulletin Européen de Physiopathologie Respiratoire 1979; 15(5):999-1013. – reference: van Ertbruggen C, Hirsch C, Paiva M. Anatomically based three-dimensional model of airways to simulate flow and particle transport using computational fluid dynamics. Journal of Applied Physiology 2005; 98(3):970-980. – reference: Lee WJ, Kawahashi M, Hirahara H. Experimental analysis of pendelluft flow generated by HFOV in a human airway model. Physiological Measurement 2006; 27(8):661-674. – reference: Gonzalez A et al. Supramaximal flows: comparison between asthmatics and patients with chronic obstructive pulmonary disease. Respiration 2011; 81(3):206-210. – reference: Tgavalekos NT et al. Identifying airways responsible for heterogeneous ventilation and mechanical dysfunction in asthma: an image functional modeling approach. Journal of Applied Physiology 2005; 99(6):2388-2397. – reference: Dubois AB et al. Oscillation mechanics of lungs and chest in man. Journal of Applied Physiology 1956; 8(6):587-594. – reference: Downie SR et al. Ventilation heterogeneity is a major determinant of airway hyperresponsiveness in asthma, independent of airway inflammation. Thorax 2007; 62(8):684-689. – reference: Swan AJ, Clark AR, Tawhai MH. A computational model of the topographic distribution of ventilation in healthy human lungs. Journal of Theoretical Biology 2012; 300:222-231. – reference: Ultman JS et al. Pendelluft and mixing in a single bifurcation lung model during high-frequency oscillation. Journal of Applied Physiology 1988; 65(1):146-155. – reference: Hogg JC. Pathophysiology of airflow limitation in chronic obstructive pulmonary disease. The Lancet 2004; 364(9435):709-721. – reference: Antiga L et al. An image-based modeling framework for patient-specific computational hemodynamics. Medical & Biological Engineering & Computing 2008; 46(11):1097-1112. – reference: Vyshedskiy A, Murphy R. Pendelluft in chronic obstructive lung disease measured with lung sounds. Pulm Med 2012; 2012:139395. – reference: Tawhai MH et al. Supine and prone differences in regional lung density and pleural pressure gradients in the human lung with constant shape. Journal of Applied Physiology 2009; 107(3):912-920. – reference: Kang MY, Hwang J, Lee JW. Effect of geometric variations on pressure loss for a model bifurcation of the human lung airway. Journal of Biomechanics 2011; 44(6):1196-1199. – reference: Otis AB et al. Mechanical factors in distribution of pulmonary ventilation. Journal of Applied Physiology 1956; 8(4):427-443. – reference: Kitaoka H. The origin of frequency dependence of respiratory resistance: an airflow simulation study using a 4D pulmonary lobule model. Respirology 2011; 16(3):517-522. – reference: Horsfield K, Cumming G. Morphology of the bronchial tree in man. Journal of Applied Physiology 1968; 24(3):373-383. – reference: Kotaru C et al. Morphometric changes after thermal and methacholine bronchoprovocations. Journal of Applied Physiology 2005; 98(3):1028-1036. – reference: Venegas JG et al. Self-organized patchiness in asthma as a prelude to catastrophic shifts. Nature 2005; 434(7034):777-782. – reference: De Backer JW et al. Validation of computational fluid dynamics in CT-based airway models with SPECT/CT. Radiology 2010; 257(3):854-862. – reference: Winkler T, Venegas JG. Self-organized patterns of airway narrowing. Journal of Applied Physiology 2011; 110(5):1482-1486. – reference: Lin CL et al. Characteristics of the turbulent laryngeal jet and its effect on airflow in the human intra-thoracic airways. Respiratory Physiology & Neurobiology 2007; 157(2-3):295-309. – reference: Morrell NW et al. Collateral ventilation and gas exchange in emphysema. American Journal of Respiratory and Critical Care Medicine 1994; 150(3):635-641. – reference: Luo HY, Liu Y. Modeling the bifurcating flow in a CT-scanned human lung airway. Journal of Biomechanics 2008; 41(12):2681-2688. – reference: Tawhai MH et al. CT-based geometry analysis and finite element models of the human and ovine bronchial tree. Journal of Applied Physiology 2004; 97(6):2310-2321. – reference: Pedley TJ, Schroter RC, Sudlow MF. Energy losses and pressure drop in models of human airways. Respiration Physiology 1970; 9(3):371-386. – volume: 44 start-page: 1196 issue: 6 year: 2011 end-page: 1199 article-title: Effect of geometric variations on pressure loss for a model bifurcation of the human lung airway publication-title: Journal of Biomechanics – volume: 98 start-page: 970 issue: 3 year: 2005 end-page: 980 article-title: Anatomically based three‐dimensional model of airways to simulate flow and particle transport using computational fluid dynamics publication-title: Journal of Applied Physiology – volume: 8 start-page: 587 issue: 6 year: 1956 end-page: 594 article-title: Oscillation mechanics of lungs and chest in man publication-title: Journal of Applied Physiology – volume: 81 start-page: 206 issue: 3 year: 2011 end-page: 210 article-title: Supramaximal flows: comparison between asthmatics and patients with chronic obstructive pulmonary disease publication-title: Respiration – volume: 29 start-page: 1285 issue: 11 year: 2013 end-page: 1305 article-title: Coupled and reduced dimensional modeling of respiratory mechanics during spontaneous breathing publication-title: International Journal for Numerical Methods in Biomedical Engineering – volume: 24 start-page: 373 issue: 3 year: 1968 end-page: 383 article-title: Morphology of the bronchial tree in man publication-title: Journal of Applied Physiology – volume: 65 start-page: 146 issue: 1 year: 1988 end-page: 155 article-title: Pendelluft and mixing in a single bifurcation lung model during high‐frequency oscillation publication-title: Journal of Applied Physiology – volume: 98 start-page: 1028 issue: 3 year: 2005 end-page: 1036 article-title: Morphometric changes after thermal and methacholine bronchoprovocations publication-title: Journal of Applied Physiology – volume: 257 start-page: 854 issue: 3 year: 2010 end-page: 862 article-title: Validation of computational fluid dynamics in CT‐based airway models with SPECT/CT publication-title: Radiology – volume: 150 start-page: 635 issue: 3 year: 1994 end-page: 641 article-title: Collateral ventilation and gas exchange in emphysema publication-title: American Journal of Respiratory and Critical Care Medicine – volume: 41 start-page: 2681 issue: 12 year: 2008 end-page: 2688 article-title: Modeling the bifurcating flow in a CT‐scanned human lung airway publication-title: Journal of Biomechanics – volume: 97 start-page: 2310 issue: 6 year: 2004 end-page: 2321 article-title: CT‐based geometry analysis and finite element models of the human and ovine bronchial tree publication-title: Journal of Applied Physiology – volume: 99 start-page: 2388 issue: 6 year: 2005 end-page: 2397 article-title: Identifying airways responsible for heterogeneous ventilation and mechanical dysfunction in asthma: an image functional modeling approach publication-title: Journal of Applied Physiology – volume: 27 start-page: 661 issue: 8 year: 2006 end-page: 674 article-title: Experimental analysis of pendelluft flow generated by HFOV in a human airway model publication-title: Physiological Measurement – volume: 300 start-page: 222 year: 2012 end-page: 231 article-title: A computational model of the topographic distribution of ventilation in healthy human lungs publication-title: Journal of Theoretical Biology – volume: 15 start-page: 999 issue: 5 year: 1979 end-page: 1013 article-title: Morphometry of the human lung: the state of the art after two decades publication-title: Bulletin Européen de Physiopathologie Respiratoire – volume: 9 start-page: 371 issue: 3 year: 1970 end-page: 386 article-title: Energy losses and pressure drop in models of human airways publication-title: Respiration Physiology – volume: 157 start-page: 295 issue: 2–3 year: 2007 end-page: 309 article-title: Characteristics of the turbulent laryngeal jet and its effect on airflow in the human intra‐thoracic airways publication-title: Respiratory Physiology & Neurobiology – volume: 62 start-page: 684 issue: 8 year: 2007 end-page: 689 article-title: Ventilation heterogeneity is a major determinant of airway hyperresponsiveness in asthma, independent of airway inflammation publication-title: Thorax – volume: 8 start-page: 427 issue: 4 year: 1956 end-page: 443 article-title: Mechanical factors in distribution of pulmonary ventilation publication-title: Journal of Applied Physiology – volume: 16 start-page: 517 issue: 3 year: 2011 end-page: 522 article-title: The origin of frequency dependence of respiratory resistance: an airflow simulation study using a 4D pulmonary lobule model publication-title: Respirology – volume: 364 start-page: 709 issue: 9435 year: 2004 end-page: 721 article-title: Pathophysiology of airflow limitation in chronic obstructive pulmonary disease publication-title: The Lancet – volume: 2012 start-page: 139395 year: 2012 article-title: Pendelluft in chronic obstructive lung disease measured with lung sounds publication-title: Pulm Med – volume: 434 start-page: 777 issue: 7034 year: 2005 end-page: 782 article-title: Self‐organized patchiness in asthma as a prelude to catastrophic shifts publication-title: Nature – volume: 46 start-page: 1097 issue: 11 year: 2008 end-page: 1112 article-title: An image‐based modeling framework for patient‐specific computational hemodynamics publication-title: Medical & Biological Engineering & Computing – volume: 110 start-page: 1482 issue: 5 year: 2011 end-page: 1486 article-title: Self‐organized patterns of airway narrowing publication-title: Journal of Applied Physiology – volume: 106 start-page: 813 issue: 3 year: 2009 end-page: 822 article-title: The difference in ventilation heterogeneity between asthmatic and healthy subjects quantified using hyperpolarized 3He MRI publication-title: Journal of Applied Physiology – volume: 107 start-page: 912 issue: 3 year: 2009 end-page: 920 article-title: Supine and prone differences in regional lung density and pleural pressure gradients in the human lung with constant shape publication-title: Journal of Applied Physiology – ident: e_1_2_7_21_1 doi: 10.1152/japplphysiol.01163.2010 – ident: e_1_2_7_26_1 doi: 10.1038/nature03490 – ident: e_1_2_7_3_1 doi: 10.1152/japplphysiol.01133.2007 – ident: e_1_2_7_16_1 doi: 10.1152/jappl.1968.24.3.373 – ident: e_1_2_7_4_1 doi: 10.1152/japplphysiol.00391.2005 – ident: e_1_2_7_8_1 doi: 10.1148/radiol.10100322 – ident: e_1_2_7_10_1 doi: 10.1016/j.jbiomech.2008.06.018 – ident: e_1_2_7_2_1 doi: 10.1136/thx.2006.069682 – ident: e_1_2_7_18_1 doi: 10.1016/0034-5687(70)90093-9 – ident: e_1_2_7_22_1 doi: 10.1152/japplphysiol.01186.2003 – volume: 8 start-page: 427 issue: 4 year: 1956 ident: e_1_2_7_5_1 article-title: Mechanical factors in distribution of pulmonary ventilation publication-title: Journal of Applied Physiology doi: 10.1152/jappl.1956.8.4.427 – ident: e_1_2_7_9_1 doi: 10.1016/j.resp.2007.02.006 – ident: e_1_2_7_12_1 doi: 10.1016/j.jtbi.2012.01.042 – volume: 65 start-page: 146 issue: 1 year: 1988 ident: e_1_2_7_25_1 article-title: Pendelluft and mixing in a single bifurcation lung model during high‐frequency oscillation publication-title: Journal of Applied Physiology doi: 10.1152/jappl.1988.65.1.146 – ident: e_1_2_7_14_1 doi: 10.1152/japplphysiol.00324.2009 – ident: e_1_2_7_6_1 doi: 10.1016/S0140-6736(04)16900-6 – ident: e_1_2_7_24_1 doi: 10.1088/0967-3334/27/8/001 – ident: e_1_2_7_23_1 doi: 10.1159/000319563 – ident: e_1_2_7_7_1 doi: 10.1155/2012/139395 – ident: e_1_2_7_27_1 doi: 10.1164/ajrccm.150.3.8087331 – volume: 15 start-page: 999 issue: 5 year: 1979 ident: e_1_2_7_17_1 article-title: Morphometry of the human lung: the state of the art after two decades publication-title: Bulletin Européen de Physiopathologie Respiratoire – ident: e_1_2_7_28_1 doi: 10.1111/j.1440-1843.2011.01925.x – ident: e_1_2_7_29_1 doi: 10.1016/j.jbiomech.2011.02.011 – ident: e_1_2_7_19_1 doi: 10.1152/japplphysiol.00795.2004 – ident: e_1_2_7_13_1 doi: 10.1007/s11517-008-0420-1 – ident: e_1_2_7_20_1 doi: 10.1152/jappl.1956.8.6.587 – ident: e_1_2_7_15_1 doi: 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Snippet | Summary
Complex flow patterns exist within the asymmetric branching airway network in the lungs. These flow patterns are known to become increasingly... Complex flow patterns exist within the asymmetric branching airway network in the lungs. These flow patterns are known to become increasingly heterogeneous... Summary Complex flow patterns exist within the asymmetric branching airway network in the lungs. These flow patterns are known to become increasingly... |
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SubjectTerms | airway constriction airway network asthma Asthma - physiopathology Bronchoconstriction Female Humans Inhalation Lung - physiopathology lung ventilation model Middle Aged Models, Biological Pulmonary Ventilation reverse flow Rheology |
Title | Dynamic flow characteristics in normal and asthmatic lungs |
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