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Regional Deposition of Particles in an Image-Based Airway Model: Large-Eddy Simulation and Left-Right Lung Ventilation Asymmetry
Open accessAbstract
Regional deposition and ventilation of particles by generation, lobe and lung during steady inhalation in a computed tomography (CT) based human airway model are investigated numerically. The airway model consists of a seven-generation human airway tree, with oral cavity, pharynx and larynx. The turbulent flow in the upper respiratory tract is simulated by large-eddy simulation. The flow boundary conditions at the peripheral airways are derived from CT images at two lung volumes to produce physiologically-realistic regional ventilation. Particles with diameter equal to or greater than 2.5 microns are selected for study because smaller particles tend to penetrate to the more distal parts of the lung. The current generational particle deposition efficiencies agree well with existing measurement data. Generational deposition efficiencies exhibit similar dependence on particle Stokes number regardless of generation, whereas deposition and ventilation efficiencies vary by lobe and lung, depending on airway morphology and airflow ventilation. In particular, regardless of particle size, the left lung receives a greater proportion of the particle bolus as compared to the right lung in spite of greater flow ventilation to the right lung. This observation is supported by the left-right lung asymmetry of particle ventilation observed in medical imaging. It is found that the particle-laden turbulent laryngeal jet flow, coupled with the unique geometrical features of the airway, causes a disproportionate amount of particles to enter the left lung.
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Citations
Cites
Equation of motion for a small rigid sphere in a nonuniform flow
MAXEY, M. R., & Riley, J. J. (1983) · The Physics of Fluids · doi:10.1063/1.864230 · Cited by 3,476
An investigation of particle trajectories in two-phase flow systems
Morsi, S. A., & Alexander, A. J. (1972) · Journal of Fluid Mechanics · doi:10.1017/s0022112072001806 · Cited by 3,102
Aerosol Technology : Properties, Behavior, and Measurement of Airborne Particles
Hinds, W. C. (1982) · Cited by 1,479
An eddy-viscosity subgrid-scale model for turbulent shear flow: Algebraic theory and applications
Vreman, A. W. (2004) · Physics of Fluids · doi:10.1063/1.1785131 · Cited by 1,351
Chan, T. L., & Lippmann, M. (1980) · American Industrial Hygiene Association Journal · doi:10.1080/15298668091424942 · Cited by 404
Airflow and Particle Transport in the Human Respiratory System
Kleinstreuer, C., & Zhang, Z. (2009) · Annual Review of Fluid Mechanics · doi:10.1146/annurev-fluid-121108-145453 · Cited by 382
Structure of a particle-laden round jet
Longmire, E. K., & Eaton, J. K. (1992) · Journal of Fluid Mechanics · doi:10.1017/s002211209200140x · Cited by 344
Particle Deposition in a Cast of Human Oral Airways
Cheng, Y., Zhou, Y., & Chen, B. T. (1999) · Aerosol Science and Technology · doi:10.1080/027868299304165 · Cited by 335
Lin, C., Tawhai, M. H., McLennan, G., & Hoffman, E. A. (2007) · Respiratory Physiology & Neurobiology · doi:10.1016/j.resp.2007.02.006 · Cited by 316
Self-citationComputational Fluid Dynamics Simulation of Airflow and Aerosol Deposition in Human Lungs
Nowak, N., Kakade, P. P., & Annapragada, A. (2003) · Annals of Biomedical Engineering · doi:10.1114/1.1560632 · Cited by 300
Research works printed but not linked: 3
- Li Z., 2007, J. Aerosol Sci., 38, 624
- Tawhai M. H., 2009, Sys. Biol. Med., 1, 61
- Yin Y., 2009, SPIE Medical Imaging’09, 72620C
Cited by
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Items 101–173 of 173
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Alzahrany, M. S., Rhein, T. V., Banerjee, A., & Salzman, G. A. (2015) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-015-1408-2 · Cited by 11
Salmanipour, S., Sokhansanj, A., Jafari, N., Hamishehkar, H., & Saha, S. C. (2025) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2025.125171 · Cited by 10
Development of a three-dimensional model of the human respiratory system for dosimetric use
Rowe, J. A. R., Burton, R. T., McGregor, G. N., McCauley, R., Tang, W., & Spencer, R. M. (2013) · Theoretical Biology and Medical Modelling · doi:10.1186/1742-4682-10-28 · Cited by 10
On the enhancement of particle deposition in turbulent channel airflow by a ribbed wall
Dritselis, C. D. (2017) · Advanced Powder Technology · doi:10.1016/j.apt.2016.12.021 · Cited by 10
Kinsale, L. K., Kazemi, M. A., Elliott, J. A. W., & Nobes, D. S. (2019) · Experimental Thermal and Fluid Science · doi:10.1016/j.expthermflusci.2019.109894 · Cited by 10
Smyth, T., & Jaspers, I. (2023) · American Journal of Physiology-Lung Cellular and Molecular Physiology · doi:10.1152/ajplung.00085.2023 · Cited by 10
Si, X. A., Talaat, M., Su, W., & Xi, J. (2021) · Inhalation Toxicology · doi:10.1080/08958378.2021.1912860 · Cited by 10
Watanabe, J., & Watanabe, M. (2019) · Journal of Applied Biomedicine · doi:10.1016/j.bbe.2019.03.004 · Cited by 10
Dey, S., Wiśniewska, K. A., Śliwińska‐Wilczewska, S., Mitra, A. K., Błaszczyk, A., Chatterjee, B., Dey, S., & Lewandowska, A. U. (2024) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2024.116883 · Cited by 9
Chen, W., Chen, C., & Chang, M. (2025) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2025.125740 · Cited by 9
Rebello, J., Brashier, B. B., & Shukla, S. (2022) · DARU Journal of Pharmaceutical Sciences · doi:10.1007/s40199-021-00423-7 · Cited by 8
Warfield-McAlpine, P., Fletcher, D. F., & Inthavong, K. (2024) · Journal of Aerosol Science · doi:10.1016/j.jaerosci.2024.106351 · Cited by 8
In silico methods to model dose deposition
Koullapis, P., Stylianou, F., Lin, C., Kassinos, S. C., & Sznitman, J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-814974-4.00012-2 · Cited by 8
Self-citationHigher alveolar deposition of particulate matter in emphysematous lobes of COPD
Tùng, N. T., Ho, S., Lu, Y., Chen, T.-T., Lee, K., Chen, K.-Y., Wu, C., Chung, K. F., Kuo, H., Thao, H. N. X., et al. (2021) · ERJ Open Research · doi:10.1183/23120541.00324-2021 · Cited by 8
Shang, Y., Tian, L., Fan, Y., Dong, J., Inthavong, K., & Tu, J. Y. (2018) · The Journal of Computational Multiphase Flows · doi:10.1177/1757482x18756012 · Cited by 8
Farooqui, O., Elicker, B. M., Henry, T. S., Hahn, L. D., Kallianos, K. G., Han, M. K., Barr, R. G., Smith, B. M., Comellas, A. P., Bon, J. M., et al. (2026) · American Journal of Respiratory and Critical Care Medicine · doi:10.1093/ajrccm/aamaf138 · Cited by 7
Trusov, P. V., Зайцева, Н. В., Tsinker, M. Y., & Kuchukov, А. I. (2023) · Mathematical Biology and Bioinformatics · doi:10.17537/2023.18.347 · Cited by 7
Jin, G., Kumar, H., Clark, A. R., Burrowes, K., Hoffman, E. A., & Tawhai, M. H. (2024) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00898.2023 · Cited by 7
Self-citationYerpude, S. T., Potbhare, A. K., Bhilkar, P. R., Thakur, P. P., Khiratkar, P., Desimone, M. F., Dhongle, P. R., Sonawane, S. S., Goncalves, C., & Chaudhary, R. G. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-90564-0.00014-3 · Cited by 7
Lalas, A. X., Nousias, S., Kikidis, D., Lalos, A. S., Arvanitis, G., Sougles, C., Μουστάκας, Κ., Votis, K., Verbanck, S. A. B., Usmani, O. S., et al. (2017) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-017-0561-y · Cited by 7
Cluster-Guided Multiscale Lung Modeling via Machine Learning
Lin, C., Choi, S., Haghighi, B., Choi, J., & Hoffman, E. A. (2018) · Springer eBooks · doi:10.1007/978-3-319-50257-1_98-1 · Cited by 7
Self-citationStudy on airflow and particle transport in In silico human respiratory tract
Kumar, B., & Singh, D. (2023) · Journal of the Brazilian Society of Mechanical Sciences and Engineering · doi:10.1007/s40430-023-04358-9 · Cited by 6
Exhaled Breath Analysis Through the Lens of Molecular Communication: A Survey
Bhattacharjee, S., Bi, D., Hofmann, P., Wietfeld, A., Becke, S., Lommel, M., Zhou, P., Zheng, R., Kertzscher, U., Deng, Y., et al. (2025) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2025.3605748 · Cited by 6
The Role of Particle Inhalation in Idiopathic Pulmonary Fibrosis
Ghio, A. J., Sangani, R. G., & Todd, N. W. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26178736 · Cited by 6
Non-uniform central airways ventilation model based on vascular segmentation
Ibrahim, G. A. A., Rona, A., & Hainsworth, S. V. (2015) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2015.08.006 · Cited by 6
Rajaraman, P. K., Choi, J., Babiskin, A. H., Walenga, R. L., & Lin, C. (2023) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2023.122805 · Cited by 6
Self-citationNguyen, Q. H., Huh, S., Chae, K. J., Cui, X., Lin, C., & Choi, S. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.111131 · Cited by 5
Self-citationAboelezz, A., Su, W.-C., Rezaee, M., & Roghanchi, P. (2025) · European Journal of Mechanics - B/Fluids · doi:10.1016/j.euromechflu.2025.204340 · Cited by 5
Verma, S. K., Bhardwaj, S., Patel, K. S., & Naik, B. K. (2026) · Physics of Fluids · doi:10.1063/5.0313508 · Cited by 5
Makrufardi, F., Bai, K., Suk, C., Rusmawatiningtyas, D., Chung, K. F., & Chuang, H. (2023) · ERJ Open Research · doi:10.1183/23120541.00064-2023 · Cited by 5
Ranjbar, H., Farajollahi, A., & Rostami, M. (2023) · Biomechanics and Modeling in Mechanobiology · doi:10.1007/s10237-023-01756-9 · Cited by 5
The Role of Functional Lung Imaging in the Improvement of Pulmonary Drug Delivery
Fouras, A., & Dubsky, S. (2015) · Wiley eBooks · doi:10.1002/9781118799536.ch2 · Cited by 5
Dey, S., Jadcherla, A. V., Johnston, N., Bock, J. M., & Garcia, G. J. M. (2025) · Journal of Aerosol Science · doi:10.1016/j.jaerosci.2025.106641 · Cited by 4
Dragojlovic, D., Ricks, N., Verbanck, S. A. B., Lacor, C., & Ghorbaniasl, G. (2017) · Notes on numerical fluid mechanics and multidisciplinary design · doi:10.1007/978-3-319-60387-2_12 · Cited by 4
Fine Particulate Matter Deposition in 3D Out-of-Plane Bifurcation Lung Airway
Chuang, C.-C., Mutuku, J. K., Chueh, C., Selvarajoo, A., & Chen, W. (2023) · Aerosol and Air Quality Research · doi:10.4209/aaqr.220392 · Cited by 4
Physiologic and Medical Assessments of Respiratory Mechanics and Ventilation
Kaczka, D. W., Herrmann, J., & Hawley, M. L. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-95884-4.00007-x · Cited by 4
Burkes, R. M., Zafar, M. A., & Panos, R. J. (2024) · Current Opinion in Pulmonary Medicine · doi:10.1097/mcp.0000000000001046 · Cited by 4
Alzahrany, M. S., & Banerjee, A. (2015) · Journal of Aerosol Science · doi:10.1016/j.jaerosci.2015.05.014 · Cited by 4
Personalized pulmonary mechanics : modeling, estimation and application to pulmonary fibrosis
Patte, C. (2020) · theses.fr (ABES) · doi:10.70675/06d6e48ez214bz4f81za73bz1357b3c41fce · Cited by 4
Nie, W., Shi, Y., Guo, L., Peng, H., Wang, J., Liu, H., Lu, M., Zhang, J., Liao, M., Li, Y., et al. (2026) · Powder Technology · doi:10.1016/j.powtec.2026.122897 · Cited by 3
Quantitative Estimation of Micro-sized Particle Deposition in Tracheobronchial Airways
Trusov, P. V., Зайцева, Н. В., Tsinker, M. Y., Kuchukov, А. I., & Svintsova, P. D. (2025) · Aerosol and Air Quality Research · doi:10.1007/s44408-025-00032-y · Cited by 3
Numerical assessment of airflow and inhaled particles attributes in obstructed pulmonary system
Lalas, A. X., Kikidis, D., Votis, K., Tzovaras, D. K., Verbanck, S. A. B., Nousias, S., Lalos, A. S., Μουστάκας, Κ., & Usmani, O. S. (2016) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm.2016.7822588 · Cited by 3
Simulation of microparticle inhalation in rhesus monkey airways
Geisler, T. S., Majji, M. V., Kesavan, J. S., Alstadt, V. J., Shaqfeh, E. S. G., & Iaccarino, G. (2019) · Physical Review Fluids · doi:10.1103/physrevfluids.4.083101 · Cited by 3
Computational Modeling for Simulating Obstructive Lung Diseases Based on Geometry Processing Methods
Nousias, S., Lalos, A. S., & Μουστάκας, Κ. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-40247-5_11 · Cited by 3
Cluster-Guided Multiscale Lung Modeling via Machine Learning
Lin, C., Choi, S., Haghighi, B., Choi, J., & Hoffman, E. A. (2020) · Springer eBooks · doi:10.1007/978-3-319-44680-6_98 · Cited by 3
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Menshykau, D., & Tanaka, S. (2019) · Handbook of experimental pharmacology · doi:10.1007/164_2019_328 · Cited by 3
Salmanipour, S., Avval, S. S. P., Inthavong, K., & Hamishehkar, H. (2025) · Pharmaceutical Research · doi:10.1007/s11095-025-03906-3 · Cited by 2
Carrier Gases and Their Effects on Aerosol Drug Delivery
Corcoran, T. E. (2021) · Journal of Aerosol Medicine and Pulmonary Drug Delivery · doi:10.1089/jamp.2021.29035.tc · Cited by 2
Filipović, N., & Tsuda, A. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-823956-8.00011-0 · Cited by 2
Si, X. A., & Xi, J. (2022) · Springer eBooks · doi:10.1007/978-981-16-5180-9_25 · Cited by 2
CFD models of the bronchial airways with dynamic boundaries
Ibrahim, G. A. A. (2015) · Figshare · Cited by 2
Morimoto, T., Nishida, C., Izumi, H., Tomonaga, T., Sato, K., Higashi, Y., Wang, K., Kojima, T., Sakurai, K., Moriyama, A., et al. (2025) · Environmental Health and Preventive Medicine · doi:10.1265/ehpm.25-00142 · Cited by 1
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Mead‐Hunter, R., King, A., Larcombe, A. N., & Mullins, B. J. (2014) · eSpace (Curtin University) · Cited by 1
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Manith, E., Park, C., & Yoo, K. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-981-13-0695-2_4 · Cited by 1
Naik, S. N., Angelini, E. D., Barr, R. G., Allen, N. B., Bertoni, A. G., Hoffman, E. A., Manichaikul, A. W., Pankow, J. S., Post, W. S., Sun, Y., et al. (2024) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi56570.2024.10635651 · Cited by 1
Self-citationMutuku, J. K., Kung, H.-C., Chen, W., Huang, C.-E., Khoo, K. S., & Show, P. L. (2025) · Biomechanics and Modeling in Mechanobiology · doi:10.1007/s10237-025-01968-1 · Cited by 1
Dhanani, J., Goodman, S., Ahern, B. J., Cohen, J., Fraser, J. F., Barnett, A. G., Diab, S., Bhatt, M. K., & Roberts, J. A. (2020) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2020.106232 · Cited by 1
Burton, R. T., & Rowe, J. A. R. (2013) · ACM SIGGRAPH Posters · doi:10.1145/2503385.2503475
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Dhanani, J. (2019) · The University of Queensland · doi:10.14264/uql.2019.61
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Conway, J. H., Biddiscombe, M. F., & Usmani, O. S. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-814974-4.00014-6
Bianchi, E. (2020) · Current Trends in Biomedical Engineering & Biosciences · doi:10.19080/ctbeb.2019.19.556023
Ma, B., Cai, X., Milton-McGurk, L., Ma, Z., Chan, H., Farina, D. J., Kourmatzis, A., & Cheng, S. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4450329
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Engineering, M. (2023) · De Gruyter eBooks · doi:10.1515/9783110734119
Demir, U., Satıcı, C., Koşar, F., & Güneş, H. (2024) · Journal of Thermal Engineering · doi:10.18186/thermal.1428999
Jena, B. R., Tripathy, S., Swain, S., Budha, R. R., Shaik, N. B., Alavala, R. R., G., S. N. K. R., Prusty, A. K., & Parida, P. (2025) · Springer eBooks · doi:10.1007/978-981-96-4154-3_7
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Patwary, M. F. F., Mahmood, M. S., & Ahmad, S. (2026) · AIP conference proceedings · doi:10.1063/5.0328172
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Metadata
- Authors
- Lambert, A. R., O'shaughnessy, P. T., Tawhai, M. H., Hoffman, E. A., & Lin, C.-L.
- Affiliations
- University of Iowa (US)
- University of Auckland (NZ)
- Corresponding author
- Lin, Ching-Long
- Venue
- Aerosol Science and Technology
- Publisher
- Informa UK Limited
- Published
- 2011-01
- Volume
- 45
- Issue
- 1
- Pages
- 11-25
- ISSN
- 0278-6826 (ISSN-L)
- 1521-7388
- PMC
- PMC3034252
- OpenAlex
- W2172012864
- Cited by
- 175
- References
- 62
- Citations by year
- 2026: 6 · 2025: 16 · 2024: 9 · 2023: 15 · 2022: 10 · 2021: 11 · 2020: 17 · 2019: 11 · 2018: 12 · 2017: 14 · 2016: 8 · 2015: 10 · 2014: 8 · 2013: 11 · 2012: 9
- FWCI
- 7.44
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Aerosol Science and Technology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- ResearchSpace (University of Auckland) (submittedVersion)
- Funders
- Georgia Clinical and Translational Science Alliance
- National Institutes of Health (NIH-R01, 5r01hl064368-10, 1s10rr022421-01a2)
- National Heart, Lung, and Blood Institute (R01 HL-064368, R01HL094315)
- National Institute of Environmental Health Sciences (P30-ES-05605, ES05605, P30ES005605)
- National Institute of Biomedical Imaging and Bioengineering (R01EB005823)
- National Center for Research Resources (UL1RR024979, S10-RR022421)
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Inhalation and Respiratory Drug Delivery
- Physical Sciences › Chemical Engineering › Fluid Flow and Transfer Processes › Particle Dynamics in Fluid Flows
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
- Keywords
- particle deposition, regional lung ventilation, large eddy simulation, Stokes number, deposition efficiency, particle-laden flow
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