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

Ilegbusi OJ, Li Z, Seyfi B, Min Y, Meeks S, Kupelian P, Santhanam AP - Int J Biomed Imaging (2012)

Bottom Line: A flow-structure interaction technique is employed that simultaneously models airflow and lung deformation.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.

View Article: PubMed Central - PubMed

Affiliation: Department of Mechanical Materials and Aerospace Engineering, University of Central Florida, Orlando, FL 32816, USA.

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.

No MeSH data available.


Related in: MedlinePlus

Predicted displacement for nodes A, B, and C over 6 breathing cycles with anisotropic YM model.
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fig11: Predicted displacement for nodes A, B, and C over 6 breathing cycles with anisotropic YM model.

Mentions: The corresponding results over 6 breathing cycles utilizing anisotropic elasticity are presented in Figure 11. The observed hysteresis time for the peak wave appears to be a fixed value for each monitored location. For example, the predicted peak wave of the x displacement lags the peak pressure inlet by 0.4 s, 0.3 s, and 0.2 s for nodes A, B, and C, respectively. Note that the peak displacements also vary from cycle to cycle. The observed hysteresis resulted from the anisotropic elasticity distribution in the lung. The hysteresis time is also found to be dependent on the geometric location of the monitored point in the lobe.


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

Ilegbusi OJ, Li Z, Seyfi B, Min Y, Meeks S, Kupelian P, Santhanam AP - Int J Biomed Imaging (2012)

Predicted displacement for nodes A, B, and C over 6 breathing cycles with anisotropic YM model.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3539421&req=5

fig11: Predicted displacement for nodes A, B, and C over 6 breathing cycles with anisotropic YM model.
Mentions: The corresponding results over 6 breathing cycles utilizing anisotropic elasticity are presented in Figure 11. The observed hysteresis time for the peak wave appears to be a fixed value for each monitored location. For example, the predicted peak wave of the x displacement lags the peak pressure inlet by 0.4 s, 0.3 s, and 0.2 s for nodes A, B, and C, respectively. Note that the peak displacements also vary from cycle to cycle. The observed hysteresis resulted from the anisotropic elasticity distribution in the lung. The hysteresis time is also found to be dependent on the geometric location of the monitored point in the lobe.

Bottom Line: A flow-structure interaction technique is employed that simultaneously models airflow and lung deformation.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.

View Article: PubMed Central - PubMed

Affiliation: Department of Mechanical Materials and Aerospace Engineering, University of Central Florida, Orlando, FL 32816, USA.

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.

No MeSH data available.


Related in: MedlinePlus