Document Detail


Simulating ventilation distribution in heterogenous lung injury using a binary tree data structure.
MedLine Citation:
PMID:  21872852     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
To determine the impact of mechanical heterogeneity on the distribution of regional flows and pressures in the injured lung, we developed an anatomic model of the canine lung comprised of an asymmetric branching airway network, which can be stored as binary tree data structure. The entire tree can be traversed using a recursive flow divider algorithm, allowing for efficient computation of acinar flow and pressure distributions in a mechanically heterogeneous lung. These distributions were found to be highly dependent on ventilation frequency and the heterogeneity of tissue elastances, reflecting the preferential distribution of ventilation to areas of lower regional impedance.
Authors:
Ashley A Colletti; Reza Amini; David W Kaczka
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2011-08-27
Journal Detail:
Title:  Computers in biology and medicine     Volume:  41     ISSN:  1879-0534     ISO Abbreviation:  Comput. Biol. Med.     Publication Date:  2011 Oct 
Date Detail:
Created Date:  2011-09-20     Completed Date:  2012-03-15     Revised Date:  2013-06-27    
Medline Journal Info:
Nlm Unique ID:  1250250     Medline TA:  Comput Biol Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  936-45     Citation Subset:  IM    
Copyright Information:
Copyright © 2011 Elsevier Ltd. All rights reserved.
Affiliation:
Department of Anesthesia, Critical Care, and Pain Medicine, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA 02215, USA.
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MeSH Terms
Descriptor/Qualifier:
Acute Disease
Algorithms
Animals
Computational Biology / methods*
Decision Trees
Disease Models, Animal
Dogs
Lung Injury / physiopathology*,  therapy
Models, Biological*
Respiration, Artificial
Respiratory Mechanics / physiology*
Grant Support
ID/Acronym/Agency:
HL089227/HL/NHLBI NIH HHS; K08 HL089227-04/HL/NHLBI NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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