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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 trajectories of monitored node A over 6 breathing cycles with (a) isotropic and (b) anisotropic YM.
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Related In: Results  -  Collection


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fig13: Predicted trajectories of monitored node A over 6 breathing cycles with (a) isotropic and (b) anisotropic YM.

Mentions: Figure 13 summarizes the results presented above by tracing the trajectories of monitored point A over 6 breathing cycles with both linear (Figure 13(a)) and anisotropic elasticity (Figure 13(b)). The start and end locations of the node are indicated in each figure. Hysteresis is clearly evident in the anisotropic result as exemplified by the significant differences in the trajectories of the monitored point over successive breathing cycles. The trajectories for the linear case on the other hand are nearly coincident. The results for nodes B and C exhibit similar trends and are not presented here for brevity.


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 trajectories of monitored node A over 6 breathing cycles with (a) isotropic and (b) anisotropic YM.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig13: Predicted trajectories of monitored node A over 6 breathing cycles with (a) isotropic and (b) anisotropic YM.
Mentions: Figure 13 summarizes the results presented above by tracing the trajectories of monitored point A over 6 breathing cycles with both linear (Figure 13(a)) and anisotropic elasticity (Figure 13(b)). The start and end locations of the node are indicated in each figure. Hysteresis is clearly evident in the anisotropic result as exemplified by the significant differences in the trajectories of the monitored point over successive breathing cycles. The trajectories for the linear case on the other hand are nearly coincident. The results for nodes B and C exhibit similar trends and are not presented here for brevity.

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