### Abstract

Individual pulmonary capillaries are not steadily perfused. By using in vivo microscopy, it can readily be demonstrated that perfusion continually switches between capillary segments and between portions of the network within a single alveolar wall. These changes in capillary perfusion occur even when upstream pressure and flow are constant. Flow switching between capillary segments in the absence of hemodynamic changes in large upstream vessels suggests that capillary perfusion patterns could be random. To calculate the probability that perfusion patterns could occur by chance, it is necessary to know the total number of possible perfusion patterns in a given capillary network. We developed a computer program that can determine every possible perfusion pattern for any given capillary network, and from that information we can calculate whether perfusion of individual segments in the network is random. With the results of the computer program, we have obtained statistical evidence that some capillary segments in a network are nonrandomly perfused.

Original language | English |
---|---|

Pages (from-to) | 1283-1289 |

Number of pages | 7 |

Journal | Journal of Applied Physiology |

Volume | 82 |

Issue number | 4 |

State | Published - 1997 |

### Fingerprint

### Keywords

- capillary perfusion stability
- capillary recruitment
- computer modeling
- dogs
- Monte Carlo probability
- probability
- pulmonary circulation
- random perfusion

### ASJC Scopus subject areas

- Physiology
- Endocrinology
- Orthopedics and Sports Medicine
- Physical Therapy, Sports Therapy and Rehabilitation

### Cite this

*Journal of Applied Physiology*,

*82*(4), 1283-1289.

**Computer determination of perfusion patterns in pulmonary capillary networks.** / Hanger, Christopher C.; Presson, Robert; Okada, Osamu; Janke, Steven J.; Watkins, John J.; Wagner, Wiltz W.; Capen, Ronald L.

Research output: Contribution to journal › Article

*Journal of Applied Physiology*, vol. 82, no. 4, pp. 1283-1289.

}

TY - JOUR

T1 - Computer determination of perfusion patterns in pulmonary capillary networks

AU - Hanger, Christopher C.

AU - Presson, Robert

AU - Okada, Osamu

AU - Janke, Steven J.

AU - Watkins, John J.

AU - Wagner, Wiltz W.

AU - Capen, Ronald L.

PY - 1997

Y1 - 1997

N2 - Individual pulmonary capillaries are not steadily perfused. By using in vivo microscopy, it can readily be demonstrated that perfusion continually switches between capillary segments and between portions of the network within a single alveolar wall. These changes in capillary perfusion occur even when upstream pressure and flow are constant. Flow switching between capillary segments in the absence of hemodynamic changes in large upstream vessels suggests that capillary perfusion patterns could be random. To calculate the probability that perfusion patterns could occur by chance, it is necessary to know the total number of possible perfusion patterns in a given capillary network. We developed a computer program that can determine every possible perfusion pattern for any given capillary network, and from that information we can calculate whether perfusion of individual segments in the network is random. With the results of the computer program, we have obtained statistical evidence that some capillary segments in a network are nonrandomly perfused.

AB - Individual pulmonary capillaries are not steadily perfused. By using in vivo microscopy, it can readily be demonstrated that perfusion continually switches between capillary segments and between portions of the network within a single alveolar wall. These changes in capillary perfusion occur even when upstream pressure and flow are constant. Flow switching between capillary segments in the absence of hemodynamic changes in large upstream vessels suggests that capillary perfusion patterns could be random. To calculate the probability that perfusion patterns could occur by chance, it is necessary to know the total number of possible perfusion patterns in a given capillary network. We developed a computer program that can determine every possible perfusion pattern for any given capillary network, and from that information we can calculate whether perfusion of individual segments in the network is random. With the results of the computer program, we have obtained statistical evidence that some capillary segments in a network are nonrandomly perfused.

KW - capillary perfusion stability

KW - capillary recruitment

KW - computer modeling

KW - dogs

KW - Monte Carlo probability

KW - probability

KW - pulmonary circulation

KW - random perfusion

UR - http://www.scopus.com/inward/record.url?scp=0030934922&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030934922&partnerID=8YFLogxK

M3 - Article

C2 - 9104866

AN - SCOPUS:0030934922

VL - 82

SP - 1283

EP - 1289

JO - Journal of Applied Physiology

JF - Journal of Applied Physiology

SN - 8750-7587

IS - 4

ER -