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...

Full description

Saved in:
Bibliographic Details
Published inInternational journal for numerical methods in biomedical engineering Vol. 31; no. 12
Main Authors Kim, Minsuok, Bordas, Rafel, Vos, Wim, Hartley, Ruth A., Brightling, Chris E., Kay, David, Grau, Vicente, Burrowes, Kelly S.
Format Journal Article
LanguageEnglish
Published England Blackwell Publishing Ltd 01.12.2015
Wiley Subscription Services, Inc
Subjects
Online AccessGet full text

Cover

Loading…
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.
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
BackLink https://www.ncbi.nlm.nih.gov/pubmed/26033976$$D View this record in MEDLINE/PubMed
BookMark eNp1kV1PFDEUhhsDkc_EX2Am8cabWdqe6Zd3siCS8JGARu-abqeV4kwH25ng_nu7AdZAtDenSZ_znuY5O2gjDtEh9IbgGcGYHtjYz6gA_AptU9zgWqhGbKzvoLbQfs63uByqlBLwGm1RjgGU4Nvow9Eymj7YynfDfWVvTDJ2dCnkMdhchVjFIfWmq0xsK5PHm96Uh6qb4o-8hza96bLbf6y76Oun4y_zz_XZ5cnp_ONZbRtKcC1hAQwY460EyY2gTimDnaTgW2E4494T2ToMrWJN4yUHR4Bj0fqFF94S2EXvH3Lv0vBrcnnUfcjWdZ2JbpiyJoJjKRiXsqDvXqC3w5Ri-V2hmCANVXQV-PaRmha9a_VdCr1JS_1k5e9Em4ack_NrhGC9cq6Lc71yXtDZC9SGsTga4phM6P7VUD803IfOLf8brOcX58_5shL3e82b9FNzAYLpbxcn-ppdHcF3fqgP4Q-ykJ3M
CitedBy_id crossref_primary_10_1002_cnm_3632
crossref_primary_10_1109_TBME_2023_3255784
crossref_primary_10_1115_1_4038163
crossref_primary_10_1016_j_jcp_2016_02_045
crossref_primary_10_1148_radiol_2019190395
crossref_primary_10_1002_cnm_3112
crossref_primary_10_1146_annurev_bioeng_110915_114742
crossref_primary_10_1111_cgf_14575
crossref_primary_10_1177_0954411916683221
crossref_primary_10_1152_japplphysiol_00016_2019
crossref_primary_10_1109_TBME_2018_2872845
crossref_primary_10_1148_radiol_2020202485
crossref_primary_10_1148_radiol_2020203983
crossref_primary_10_1088_2057_1976_adbbf4
crossref_primary_10_1152_japplphysiol_00176_2020
crossref_primary_10_1152_japplphysiol_00221_2019
crossref_primary_10_1016_j_jtbi_2017_08_024
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
ContentType Journal Article
Copyright Copyright © 2015 John Wiley & Sons, Ltd.
Copyright_xml – notice: Copyright © 2015 John Wiley & Sons, Ltd.
DBID BSCLL
AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7QO
7SC
7TB
8FD
FR3
JQ2
KR7
L7M
L~C
L~D
P64
7X8
DOI 10.1002/cnm.2730
DatabaseName Istex
CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
Biotechnology Research Abstracts
Computer and Information Systems Abstracts
Mechanical & Transportation Engineering Abstracts
Technology Research Database
Engineering Research Database
ProQuest Computer Science Collection
Civil Engineering Abstracts
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
Biotechnology and BioEngineering Abstracts
MEDLINE - Academic
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Civil Engineering Abstracts
Biotechnology Research Abstracts
Technology Research Database
Computer and Information Systems Abstracts – Academic
Mechanical & Transportation Engineering Abstracts
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
Engineering Research Database
Advanced Technologies Database with Aerospace
Biotechnology and BioEngineering Abstracts
Computer and Information Systems Abstracts Professional
MEDLINE - Academic
DatabaseTitleList MEDLINE

MEDLINE - Academic
Civil Engineering Abstracts
CrossRef
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Applied Sciences
EISSN 2040-7947
EndPage n/a
ExternalDocumentID 3922625041
26033976
10_1002_cnm_2730
CNM2730
ark_67375_WNG_S5RD3X6B_B
Genre article
Research Support, Non-U.S. Gov't
Journal Article
GroupedDBID .3N
.GA
.Y3
05W
0R~
10A
1L6
1OC
31~
33P
3SF
4.4
50Z
51W
51X
52N
52O
52P
52S
52T
52U
52W
52X
53G
66C
7PT
8-0
8-1
8-3
8-4
8-5
930
A03
AAESR
AAEVG
AAHHS
AANLZ
AAONW
AASGY
AAXRX
AAZKR
ABCUV
ABDBF
ABJNI
ACAHQ
ACBWZ
ACCFJ
ACCZN
ACGFO
ACGFS
ACIWK
ACPOU
ACPRK
ACXBN
ACXQS
ADBBV
ADEOM
ADIZJ
ADKYN
ADMGS
ADOZA
ADXAS
ADZMN
ADZOD
AEEZP
AEGXH
AEIGN
AEIMD
AENEX
AEQDE
AEUQT
AEUYR
AFBPY
AFFPM
AFGKR
AFPWT
AFRAH
AFZJQ
AHBTC
AITYG
AIURR
AIWBW
AJBDE
AJXKR
ALAGY
ALMA_UNASSIGNED_HOLDINGS
ALUQN
AMBMR
AMYDB
ATUGU
AUFTA
AZBYB
AZFZN
AZVAB
BAFTC
BDRZF
BFHJK
BHBCM
BMNLL
BMXJE
BNHUX
BROTX
BRXPI
BSCLL
BY8
D-E
D-F
DCZOG
DPXWK
DR2
DRFUL
DRSTM
DU5
EBD
EBS
EJD
ESX
F00
F01
F04
F5P
FEDTE
G-S
G.N
GNP
GODZA
H.T
H.X
HBH
HF~
HGLYW
HHY
HVGLF
HZ~
I-F
IX1
J0M
JPC
KQQ
LATKE
LEEKS
LH4
LITHE
LOXES
LP6
LP7
LUTES
LW6
LYRES
MEWTI
MK4
MK~
ML~
MRFUL
MRSTM
MSFUL
MSSTM
MXFUL
MXSTM
N04
N05
NF~
O66
O9-
P2W
P2X
P4D
PQQKQ
Q.N
Q11
QB0
QRW
R.K
ROL
RWI
SUPJJ
TUS
UB1
V2E
W8V
W99
WBKPD
WIH
WIK
WLBEL
WOHZO
WRC
WXSBR
WYISQ
XG1
XV2
~IA
~WT
AAHQN
AAMNL
AANHP
AAYCA
ACRPL
ACUHS
ACYXJ
ADNMO
AFWVQ
ALVPJ
1OB
AAMMB
AAYXX
AEFGJ
AEYWJ
AGHNM
AGQPQ
AGXDD
AGYGG
AIDQK
AIDYY
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7QO
7SC
7TB
8FD
FR3
JQ2
KR7
L7M
L~C
L~D
P64
7X8
ID FETCH-LOGICAL-c4210-83b353556d8386a72e99a0e823fd7a656ff18de03d9544f863e13607dfbf7fc13
IEDL.DBID DR2
ISSN 2040-7939
2040-7947
IngestDate Fri Jul 11 04:13:23 EDT 2025
Wed Aug 13 02:59:46 EDT 2025
Thu Apr 03 07:07:54 EDT 2025
Sun Aug 24 03:22:16 EDT 2025
Thu Apr 24 22:59:17 EDT 2025
Wed Jan 22 16:55:09 EST 2025
Wed Oct 30 09:49:28 EDT 2024
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 12
Keywords asthma
reverse flow
lung ventilation model
airway constriction
airway network
Language English
License http://onlinelibrary.wiley.com/termsAndConditions#vor
Copyright © 2015 John Wiley & Sons, Ltd.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c4210-83b353556d8386a72e99a0e823fd7a656ff18de03d9544f863e13607dfbf7fc13
Notes ark:/67375/WNG-S5RD3X6B-B
istex:B93A84C6D2EE484E4032304CEF063D3C00E5EF3F
ArticleID:CNM2730
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
OpenAccessLink https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cnm.2730
PMID 26033976
PQID 1757142921
PQPubID 2034586
PageCount 13
ParticipantIDs proquest_miscellaneous_1760875688
proquest_journals_1757142921
pubmed_primary_26033976
crossref_primary_10_1002_cnm_2730
crossref_citationtrail_10_1002_cnm_2730
wiley_primary_10_1002_cnm_2730_CNM2730
istex_primary_ark_67375_WNG_S5RD3X6B_B
PublicationCentury 2000
PublicationDate 2015-12
December 2015
2015-12-00
2015-Dec
20151201
PublicationDateYYYYMMDD 2015-12-01
PublicationDate_xml – month: 12
  year: 2015
  text: 2015-12
PublicationDecade 2010
PublicationPlace England
PublicationPlace_xml – name: England
– name: Chichester
PublicationTitle International journal for numerical methods in biomedical engineering
PublicationTitleAlternate Int. J. Numer. Meth. Biomed. Engng
PublicationYear 2015
Publisher Blackwell Publishing Ltd
Wiley Subscription Services, Inc
Publisher_xml – name: Blackwell Publishing Ltd
– name: Wiley Subscription Services, Inc
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: 10.1152/japplphysiol.00520.2004
– ident: e_1_2_7_11_1
  doi: 10.1002/cnm.2577
SSID ssj0000299973
Score 2.1996286
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...
SourceID proquest
pubmed
crossref
wiley
istex
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
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
URI https://api.istex.fr/ark:/67375/WNG-S5RD3X6B-B/fulltext.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fcnm.2730
https://www.ncbi.nlm.nih.gov/pubmed/26033976
https://www.proquest.com/docview/1757142921
https://www.proquest.com/docview/1760875688
Volume 31
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELaq9sKFQnktfchIiJ6yTeJHbG7dLktVqXsorViJg-X4oVbdZqtmVyB-PR7ngRYVCXHKIRPZ8Xjsb8bjbxB6L3VpJSXByYmhGypkIj1PE0c0Id7rQkdNn0_56RU9m7FZm1UJd2Eafog-4AaWEddrMHBd1ke_SUNNdTcMey-465CqBXjoIu_DK2lYZmU8X85jzpwksqOeTfOj7tu1zWgLxvXHY0hzHbjGnWeyjb51fW4STm6Hq2U5ND__oHP8v596hp62gBQfNzPoOdpw1Q7absEpbk2_foE-jpva9djPF9-xWed5xjcVrgD9zrGuLNb18jpSweJ5WEvql-hq8uny5DRpCy8khgYXMBGkJCwAEW4FEVwXuZNSp07kxNtCBwTofSasS4mVjFIvOHFBBWlhfekLbzLyCm1Wi8q9QZhR63lpqOHMUc9ZmUrDUuN55oFpzg7QYacBZVpWciiOMVcNn3KuwpAoGJIBetdL3jdMHI_IfIhK7AX0wy1krhVMfZ1-Vl_YxZjM-EiNBmiv07JqjbZWAUkVGZTvykJb_etgbnCGoiu3WIEMhxoAXIgBet3Mjr6x4BoSgHehF1HHf-2mOpmew_PtvwruoicBqLEmjWYPbS4fVm4_gKFleYC2jkfj0eQgTv9foiAEMQ
linkProvider Wiley-Blackwell
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwEB5V7aFcKC2vLaU1EoJTtkn8iA2nPlmgu4fSij0gWY4fAnWbRd1dgfj12M6jWlQkxCmHTGTH47G_GY-_AXgpVGkEwd7JiaEbwkUiHEsTixXGzqlCRU0PR2xwST6M6XgF3rZ3YWp-iC7gFiwjrtfBwENAev-WNVRX132_-Xp_fS0U9I7-1HneBVhSv9CKeMKcx6w5gUVLPpvm--3HS9vRWhjZn3dhzWXoGvee0w340va6Tjm56i_mZV__-oPQ8T9_6wHcbzApOqgn0Sas2GoLNhp8ihrrnz2EN8d1-XrkJtMfSC9TPaNvFaoCAJ4gVRmkZvOvkQ0WTfxyMnsEl6cnF0eDpKm9kGjivcCE4xJTj0WY4ZgzVeRWCJVanmNnCuVBoHMZNzbFRlBCHGfYZpilhXGlK5zO8GNYraaVfQqIEuNYqYlm1BLHaJkKTVPtWOYC2ZzpwetWBVI3xOShPsZE1pTKufRDIsOQ9OBFJ_m9JuO4Q-ZV1GInoG6uQvJaQeXn0Tv5iZ4f4zE7lIc92GnVLBu7nUkPpoosVPDKfFvda29x4RhFVXa6CDIslAFgnPfgST09usa8d4gDwvO9iEr-azfl0WgYntv_KrgH64OL4Zk8ez_6-AzuedxG66yaHVid3yzsc4-N5uVutIHfqvwG2g
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LbxMxEB6hVkJcKC2vQEuNhOC0qXf9WJsbbQjl0QgVKiJxsLx-CNSwqZpEIH49tveBgoqEOO1hZ2Wvx2N_Mx5_A_BE6spKSoKTk0I3VMhMeo4zRzQh3utSJ02fTPjxGX0zZdM2qzLehWn4IfqAW7SMtF5HA7-w_uA3aaipvw3D3hvc9U3KsYgzenRa9PEVHNZZmQ6Yi5Q0J4nsuGdxcdB9vLYbbcaB_XEV1FxHrmnrGW_B567TTcbJ-XC1rIbm5x98jv_3V7fgZotI0YtmCm3DNVfvwFaLTlFr-4vb8HzUFK9Hfjb_jsw60TP6WqM6wt8Z0rVFerH8krhg0SwsJos7cDZ--fHoOGsrL2SGBh8wE6QiLCARbgURXJeFk1JjJwribakDBPQ-F9ZhYiWj1AtOXE44Lq2vfOlNTu7CRj2v3X1AjFrPK0MNZ456ziosDcPG89xHqjk7gGedBpRpacljdYyZagiVCxWGRMUhGcDjXvKioeK4QuZpUmIvoC_PY-paydSnySv1gZ2OyJQfqsMB7HZaVq3VLlSAUmUe63floa3-dbC3eIiiazdfRRkeiwBwIQZwr5kdfWPBNyQR34VeJB3_tZvqaHISnw_-VXAfrr8fjdW715O3D-FGAG2sSanZhY3l5crtBWC0rB4lC_gFrSoFkg
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Dynamic+flow+characteristics+in+normal+and+asthmatic+lungs&rft.jtitle=International+journal+for+numerical+methods+in+biomedical+engineering&rft.au=Kim%2C+Minsuok&rft.au=Bordas%2C+Rafel&rft.au=Vos%2C+Wim&rft.au=Hartley%2C+Ruth+A&rft.date=2015-12-01&rft.eissn=2040-7947&rft.volume=31&rft.issue=12&rft_id=info:doi/10.1002%2Fcnm.2730&rft_id=info%3Apmid%2F26033976&rft.externalDocID=26033976
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2040-7939&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2040-7939&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2040-7939&client=summon