A multiscale MDCT image-based breathing lung model with time-varying regional ventilation

Youbing Yin; Jiwoong Choi; Eric A Hoffman; Merryn H Tawhai; Ching-Long Lin

doi:10.1016/j.jcp.2012.12.007

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A multiscale MDCT image-based breathing lung model with time-varying regional ventilation

Journal article

Peer reviewed

A multiscale MDCT image-based breathing lung model with time-varying regional ventilation

Youbing Yin, Jiwoong Choi, Eric A Hoffman, Merryn H Tawhai and Ching-Long Lin

Journal of computational physics, Vol.244, pp.168-192

07/01/2013

DOI: 10.1016/j.jcp.2012.12.007

PMCID: PMC3685439

PMID: 23794749

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https://www.ncbi.nlm.nih.gov/pmc/articles/3685439View

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Abstract

A novel algorithm is presented that links local structural variables (regional ventilation and deforming central airways) to global function (total lung volume) in the lung over three imaged lung volumes, to derive a breathing lung model for computational fluid dynamics simulation. The algorithm constitutes the core of an integrative, image-based computational framework for subject-specific simulation of the breathing lung. For the first time, the algorithm is applied to three multi-detector row computed tomography (MDCT) volumetric lung images of the same individual. A key technique in linking global and local variables over multiple images is an in-house mass-preserving image registration method. Throughout breathing cycles, cubic interpolation is employed to ensure C1 continuity in constructing time-varying regional ventilation at the whole lung level, flow rate fractions exiting the terminal airways, and airway deformation. The imaged exit airway flow rate fractions are derived from regional ventilation with the aid of a three-dimensional (3D) and one-dimensional (1D) coupled airway tree that connects the airways to the alveolar tissue. An in-house parallel large-eddy simulation (LES) technique is adopted to capture turbulent-transitional-laminar flows in both normal and deep breathing conditions. The results obtained by the proposed algorithm when using three lung volume images are compared with those using only one or two volume images. The three-volume-based lung model produces physiologically-consistent time-varying pressure and ventilation distribution. The one-volume-based lung model under-predicts pressure drop and yields un-physiological lobar ventilation. The two-volume-based model can account for airway deformation and non-uniform regional ventilation to some extent, but does not capture the non-linear features of the lung.

Image registration

Pulmonary air flow

Boundary condition

MDCT

Multiscale

Regional ventilation

Details

Title: Subtitle: A multiscale MDCT image-based breathing lung model with time-varying regional ventilation
Creators: Youbing Yin - Department of Mechanical and Industrial Engineering, The University of Iowa, Iowa City, IA 52242, USA
Jiwoong Choi - Department of Mechanical and Industrial Engineering, The University of Iowa, Iowa City, IA 52242, USA
Eric A Hoffman - Department of Radiology, The University of Iowa, Iowa City, IA 52242, USA
Merryn H Tawhai - Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand
Ching-Long Lin - Department of Mechanical and Industrial Engineering, The University of Iowa, Iowa City, IA 52242, USA
Resource Type: Journal article
Publication Details: Journal of computational physics, Vol.244, pp.168-192
DOI: 10.1016/j.jcp.2012.12.007
PMID: 23794749
PMCID: PMC3685439
NLM abbreviation: J Comput Phys
ISSN: 0021-9991
eISSN: 1090-2716
Publisher: Elsevier Inc
Language: English
Date published: 07/01/2013
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Mechanical Engineering; Internal Medicine
Record Identifier: 9984051713302771

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