Analysis of regional mechanics in canine lung injury using forced oscillations and 3D image registration

David W Kaczka; Kunlin Cao; Gary E Christensen; Jason H T Bates; Brett A Simon

doi:10.1007/s10439-010-0214-0

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Analysis of regional mechanics in canine lung injury using forced oscillations and 3D image registration

Journal article

Open access

Peer reviewed

Analysis of regional mechanics in canine lung injury using forced oscillations and 3D image registration

David W Kaczka, Kunlin Cao, Gary E Christensen, Jason H T Bates and Brett A Simon

Annals of biomedical engineering, Vol.39(3), pp.1112-1124

03/2011

DOI: 10.1007/s10439-010-0214-0

PMCID: PMC3036832

PMID: 21132371

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Abstract

Acute lung injury is characterized by heterogeneity of regional mechanical properties, which is thought to be correlated with disease severity. The feasibility of using respiratory input impedance (Z(rs)) and computed tomographic (CT) image registration for assessing parenchymal mechanical heterogeneity was evaluated. In six dogs, measurements of Z(rs) before and after oleic acid injury at various distending pressures were obtained, followed by whole lung CT scans. Each Z(rs) spectrum was fit with a model incorporating variable distributions of regional compliances. CT image pairs at different inflation pressures were matched using an image registration algorithm, from which distributions of regional compliances from the resulting anatomic deformation fields were computed. Under baseline conditions, average model compliance decreased with increasing inflation pressure, reflecting parenchymal stiffening. After lung injury, these average compliances decreased at each pressure, indicating derecruitment, alveolar flooding, or alterations in intrinsic tissue elastance. However, average compliance did not change as inflation pressure increased, consistent with simultaneous recruitment and strain stiffening. Image registration revealed peaked distributions of regional compliances, and that small portions of the lung might undergo relative compression during inflation. The authors conclude that assessments of lung function using Z(rs) combined with the structural alterations inferred from image registration provide unique but complementary information on the mechanical derangements associated with lung injury.

Lung Injury - physiopathology

Animals

Lung Injury - diagnostic imaging

Respiration, Artificial - methods

Models, Biological

Computer Simulation

Dogs

Imaging, Three-Dimensional - methods

Tomography, X-Ray Computed - methods

Male

Oscillometry - methods

Subtraction Technique

Details

Title: Subtitle: Analysis of regional mechanics in canine lung injury using forced oscillations and 3D image registration
Creators: David W Kaczka - Harvard Medical School, and Department of Anesthesiology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA 02215, USA. dkaczka@bidmc.harvard.edu
Kunlin Cao
Gary E Christensen
Jason H T Bates
Brett A Simon
Resource Type: Journal article
Publication Details: Annals of biomedical engineering, Vol.39(3), pp.1112-1124
DOI: 10.1007/s10439-010-0214-0
PMID: 21132371
PMCID: PMC3036832
NLM abbreviation: Ann Biomed Eng
ISSN: 1573-9686
eISSN: 1573-9686
Publisher: United States
Grant note: HL089227 / NHLBI NIH HHS HL079406 / NHLBI NIH HHS R01 HL075593 / NHLBI NIH HHS HL075593 / NHLBI NIH HHS K08 HL089227 / NHLBI NIH HHS R01 HL079406 / NHLBI NIH HHS HL064368 / NHLBI NIH HHS R01 HL064368 / NHLBI NIH HHS
Language: English
Date published: 03/2011
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Radiation Oncology; Anesthesia; Radiation Research Laboratory
Record Identifier: 9984006485402771

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