Simulating ventilation distribution in heterogenous lung injury using a binary tree data structure

Ashley A Colletti; Reza Amini; David W Kaczka

doi:10.1016/j.compbiomed.2011.08.004

Back

Simulating ventilation distribution in heterogenous lung injury using a binary tree data structure

Journal article

Peer reviewed

Simulating ventilation distribution in heterogenous lung injury using a binary tree data structure

Ashley A Colletti, Reza Amini and David W Kaczka

Computers in biology and medicine, Vol.41(10), pp.936-945

2011

DOI: 10.1016/j.compbiomed.2011.08.004

PMCID: PMC3177984

PMID: 21872852

Files and links (1)

url

https://www.ncbi.nlm.nih.gov/pmc/articles/3177984View

Open Access

Abstract

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.

Binary tree

Disease models

Computational models

Animal

Lung diseases

Elasticity

Biological models

Data structures

Respiratory mechanics

Ventilation distribution

Lung pathology

Mechanical ventilation

Details

Title: Subtitle: Simulating ventilation distribution in heterogenous lung injury using a binary tree data structure
Creators: Ashley A Colletti - Department of Anesthesia, Critical Care, and Pain Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
Reza Amini - Department of Anesthesia, Critical Care, and Pain Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
David W Kaczka - Department of Anesthesia, Critical Care, and Pain Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
Resource Type: Journal article
Publication Details: Computers in biology and medicine, Vol.41(10), pp.936-945
DOI: 10.1016/j.compbiomed.2011.08.004
PMID: 21872852
PMCID: PMC3177984
NLM abbreviation: Comput Biol Med
ISSN: 0010-4825
eISSN: 1879-0534
Publisher: Elsevier Ltd
Language: English
Date published: 2011
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Anesthesia
Record Identifier: 9984006486202771

Metrics

25 Record Views

19 Times Cited - Web of Science