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. 2012:2012:350853.
doi: 10.1155/2012/350853. Epub 2012 Dec 20.

Modeling Airflow Using Subject-Specific 4DCT-Based Deformable Volumetric Lung Models

Olusegun J Ilegbusi  1 , Zhiliang Li, Behnaz Seyfi, Yugang Min, Sanford Meeks, Patrick Kupelian, Anand P Santhanam
Affiliations

Modeling Airflow Using Subject-Specific 4DCT-Based Deformable Volumetric Lung Models

Olusegun J Ilegbusi et al. Int J Biomed Imaging. 2012.

Abstract

Lung radiotherapy is greatly benefitted when the tumor motion caused by breathing can be modeled. The aim of this paper is to present the importance of using anisotropic and subject-specific tissue elasticity for simulating the airflow inside the lungs. A computational-fluid-dynamics (CFD) based approach is presented to simulate airflow inside a subject-specific deformable lung for modeling lung tumor motion and the motion of the surrounding tissues during radiotherapy. A flow-structure interaction technique is employed that simultaneously models airflow and lung deformation. The lung is modeled as a poroelastic medium with subject-specific anisotropic poroelastic properties on a geometry, which was reconstructed from four-dimensional computed tomography (4DCT) scan datasets of humans with lung cancer. The results include the 3D anisotropic lung deformation for known airflow pattern inside the lungs. The effects of anisotropy are also presented on both the spatiotemporal volumetric lung displacement and the regional lung hysteresis.

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Figures

Figure 1
Figure 1
The right lung reconstructed from 4DCT scan dataset obtained at M.D. Anderson Cancer Center, Orlando.
Figure 2
Figure 2
Multilevel branching structure of the human lung [11].
Figure 3
Figure 3
Section view of the multilayer grid structure.
Figure 4
Figure 4
Volume mesh for the multilayer structure.
Figure 5
Figure 5
Prescribed inlet pressure.
Figure 6
Figure 6
Anisotropic YM obtained based on 4DCT scan dataset and measured pressure-volume curves for patients with lung cancer.
Figure 7
Figure 7
Predicted lung deformation with linear YM.
Figure 8
Figure 8
Predicted lung deformation with anisotropic YM.
Figure 9
Figure 9
Predicted displacements for monitored nodes A, B, and C for linear and anisotropic YM over the first respiration cycle.
Figure 10
Figure 10
Predicted displacement for nodes A, B, and C over 6 breathing cycles with isotropic YM.
Figure 11
Figure 11
Predicted displacement for nodes A, B, and C over 6 breathing cycles with anisotropic YM model.
Figure 12
Figure 12
Predicted displacement for nodes A, B, and C over 12 breathing cycles with anisotropic YM model.
Figure 13
Figure 13
Predicted trajectories of monitored node A over 6 breathing cycles with (a) isotropic and (b) anisotropic YM.
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