Detecting alterations in pulmonary airway development with airway-by-airway comparison

Dongyoub Lee, Neil Willits, Anthony S. Wexler

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Neonatal and postnatal exposures to air pollutants have adverse effects on lung development resulting in airway structure changes. Usually, generation-averaged analysis of airway geometric parameters is employed to differentiate between pulmonary airway trees. However, this method is limited, especially for monopodial branching trees such as in rat airways, because both quite proximal and less proximal airways that have very different structure and function may be in the same generation. To avoid limitations inherent in generation averaging, we developed a method that compares two trees airway-by-airway using micro CT image data from rat lungs. This computerized technique (1) identifies the geometry and architecture of the conducting airways from CT images, (2) extracts the main tree, (3) associates paired airways from the two different trees, and (4) develops summary statistics on the degree of similarity between populations of animals. By comparing the trees airway-by-airway, we found that the variance in airway length of the group exposed to diffusion flame particles (DFP) is significantly larger than the group raised in filtered air (FA). This method also found that rotation angle of the DFP group is significantly larger than FA, which is not as certain in the generation-based analysis. We suggest that airway-by-airway analysis complements generation-based averaging for detecting airway alterations.

Original languageEnglish (US)
Pages (from-to)1805-1814
Number of pages10
JournalAnnals of Biomedical Engineering
Volume39
Issue number6
DOIs
StatePublished - Jun 2011

Fingerprint

Rats
Air
Animals
Statistics
Geometry

Keywords

  • Airway-by-airway comparison
  • CT image
  • Development disruption
  • Diffusion flame particles
  • Pulmonary airways
  • Rat lungs

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

Detecting alterations in pulmonary airway development with airway-by-airway comparison. / Lee, Dongyoub; Willits, Neil; Wexler, Anthony S.

In: Annals of Biomedical Engineering, Vol. 39, No. 6, 06.2011, p. 1805-1814.

Research output: Contribution to journalArticle

Lee, Dongyoub ; Willits, Neil ; Wexler, Anthony S. / Detecting alterations in pulmonary airway development with airway-by-airway comparison. In: Annals of Biomedical Engineering. 2011 ; Vol. 39, No. 6. pp. 1805-1814.
@article{c2cd85fabcc1449ba3a1fca31e42ac43,
title = "Detecting alterations in pulmonary airway development with airway-by-airway comparison",
abstract = "Neonatal and postnatal exposures to air pollutants have adverse effects on lung development resulting in airway structure changes. Usually, generation-averaged analysis of airway geometric parameters is employed to differentiate between pulmonary airway trees. However, this method is limited, especially for monopodial branching trees such as in rat airways, because both quite proximal and less proximal airways that have very different structure and function may be in the same generation. To avoid limitations inherent in generation averaging, we developed a method that compares two trees airway-by-airway using micro CT image data from rat lungs. This computerized technique (1) identifies the geometry and architecture of the conducting airways from CT images, (2) extracts the main tree, (3) associates paired airways from the two different trees, and (4) develops summary statistics on the degree of similarity between populations of animals. By comparing the trees airway-by-airway, we found that the variance in airway length of the group exposed to diffusion flame particles (DFP) is significantly larger than the group raised in filtered air (FA). This method also found that rotation angle of the DFP group is significantly larger than FA, which is not as certain in the generation-based analysis. We suggest that airway-by-airway analysis complements generation-based averaging for detecting airway alterations.",
keywords = "Airway-by-airway comparison, CT image, Development disruption, Diffusion flame particles, Pulmonary airways, Rat lungs",
author = "Dongyoub Lee and Neil Willits and Wexler, {Anthony S.}",
year = "2011",
month = "6",
doi = "10.1007/s10439-011-0279-4",
language = "English (US)",
volume = "39",
pages = "1805--1814",
journal = "Annals of Biomedical Engineering",
issn = "0090-6964",
publisher = "Springer Netherlands",
number = "6",

}

TY - JOUR

T1 - Detecting alterations in pulmonary airway development with airway-by-airway comparison

AU - Lee, Dongyoub

AU - Willits, Neil

AU - Wexler, Anthony S.

PY - 2011/6

Y1 - 2011/6

N2 - Neonatal and postnatal exposures to air pollutants have adverse effects on lung development resulting in airway structure changes. Usually, generation-averaged analysis of airway geometric parameters is employed to differentiate between pulmonary airway trees. However, this method is limited, especially for monopodial branching trees such as in rat airways, because both quite proximal and less proximal airways that have very different structure and function may be in the same generation. To avoid limitations inherent in generation averaging, we developed a method that compares two trees airway-by-airway using micro CT image data from rat lungs. This computerized technique (1) identifies the geometry and architecture of the conducting airways from CT images, (2) extracts the main tree, (3) associates paired airways from the two different trees, and (4) develops summary statistics on the degree of similarity between populations of animals. By comparing the trees airway-by-airway, we found that the variance in airway length of the group exposed to diffusion flame particles (DFP) is significantly larger than the group raised in filtered air (FA). This method also found that rotation angle of the DFP group is significantly larger than FA, which is not as certain in the generation-based analysis. We suggest that airway-by-airway analysis complements generation-based averaging for detecting airway alterations.

AB - Neonatal and postnatal exposures to air pollutants have adverse effects on lung development resulting in airway structure changes. Usually, generation-averaged analysis of airway geometric parameters is employed to differentiate between pulmonary airway trees. However, this method is limited, especially for monopodial branching trees such as in rat airways, because both quite proximal and less proximal airways that have very different structure and function may be in the same generation. To avoid limitations inherent in generation averaging, we developed a method that compares two trees airway-by-airway using micro CT image data from rat lungs. This computerized technique (1) identifies the geometry and architecture of the conducting airways from CT images, (2) extracts the main tree, (3) associates paired airways from the two different trees, and (4) develops summary statistics on the degree of similarity between populations of animals. By comparing the trees airway-by-airway, we found that the variance in airway length of the group exposed to diffusion flame particles (DFP) is significantly larger than the group raised in filtered air (FA). This method also found that rotation angle of the DFP group is significantly larger than FA, which is not as certain in the generation-based analysis. We suggest that airway-by-airway analysis complements generation-based averaging for detecting airway alterations.

KW - Airway-by-airway comparison

KW - CT image

KW - Development disruption

KW - Diffusion flame particles

KW - Pulmonary airways

KW - Rat lungs

UR - http://www.scopus.com/inward/record.url?scp=79958781921&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79958781921&partnerID=8YFLogxK

U2 - 10.1007/s10439-011-0279-4

DO - 10.1007/s10439-011-0279-4

M3 - Article

C2 - 21347548

AN - SCOPUS:79958781921

VL - 39

SP - 1805

EP - 1814

JO - Annals of Biomedical Engineering

JF - Annals of Biomedical Engineering

SN - 0090-6964

IS - 6

ER -