| Simulating ventilation distribution in heterogenous lung injury using a binary tree data structure. | |
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MedLine Citation:
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PMID: 21872852 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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Ashley A Colletti; Reza Amini; David W Kaczka |
Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural Date: 2011-08-27 |
Journal Detail:
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Title: Computers in biology and medicine Volume: 41 ISSN: 1879-0534 ISO Abbreviation: Comput. Biol. Med. Publication Date: 2011 Oct |
Date Detail:
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Created Date: 2011-09-20 Completed Date: 2012-03-15 Revised Date: 2013-05-23 |
Medline Journal Info:
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Nlm Unique ID: 1250250 Medline TA: Comput Biol Med Country: United States |
Other Details:
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Languages: eng Pagination: 936-45 Citation Subset: IM |
Copyright Information:
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Copyright © 2011 Elsevier Ltd. All rights reserved. |
Affiliation:
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Department of Anesthesia, Critical Care, and Pain Medicine, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA 02215, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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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:
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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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