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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 12 breathing cycles with anisotropic YM model.
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fig12: Predicted displacement for nodes A, B, and C over 12 breathing cycles with anisotropic YM model.

Mentions: In order to further examine the peak variation in the anisotropic case, the calculations are extended to 12 respiration cycles, and the results are plotted in Figure 12. The results indicate that the x displacement magnitude profile for the monitored node A reaches local peaks at the 2nd, 6th, and 10th cycles, corresponding to a period of 16 s. The y and z displacement profiles reach their local maxima at the 4th, 8th, and 12th cycles, which also correspond to a period of 16 s. A similar periodic pattern is observed for node C while the trend in node B is not quite so distinct, perhaps because the latter was located near the symmetry point along the craniocaudal axis.


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 12 breathing cycles with anisotropic YM model.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig12: Predicted displacement for nodes A, B, and C over 12 breathing cycles with anisotropic YM model.
Mentions: In order to further examine the peak variation in the anisotropic case, the calculations are extended to 12 respiration cycles, and the results are plotted in Figure 12. The results indicate that the x displacement magnitude profile for the monitored node A reaches local peaks at the 2nd, 6th, and 10th cycles, corresponding to a period of 16 s. The y and z displacement profiles reach their local maxima at the 4th, 8th, and 12th cycles, which also correspond to a period of 16 s. A similar periodic pattern is observed for node C while the trend in node B is not quite so distinct, perhaps because the latter was located near the symmetry point along the craniocaudal axis.

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