Paper
13 March 2009 Effect of heterogeneous material of the lung on deformable image registration
Adil Al-Mayah, Joanne Moseley, Mike Velec, Kristy Brock
Author Affiliations +
Abstract
Patient specific 3D finite element models have been developed to investigate the effect of heterogeneous material properties on modeling of the deformation of the lungs by including the bronchial trees of each lung. Each model consists of both lungs, body, tumor, and bronchial trees. Triangular shell elements with 0.1 cm wall thickness are used to model the bronchial trees. Body, lungs and tumor are modeled using 4-node tetrahedral elements. Experimental test data are used for the nonlinear material properties of the lungs. Three elastic modulii of 0.5, 10 and 18 MPa are used for the bronchial tree. Frictionless contact surfaces are applied to lung surfaces and cavities. The accuracy of the results is examined using an average of 40 bifurcation points. Preliminary results have shown an insignificant effect of modeling the bronchial trees explicitly on the overall accuracy of the model. However, local changes in the predicted motion of the bronchial tree of up to 5.2 mm were observed, indicating that modeling the bronchial tree explicitly, with unique material properties, may ensure a more accurately detailed model of the lung as well as reduced maximum residual errors.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Adil Al-Mayah, Joanne Moseley, Mike Velec, and Kristy Brock "Effect of heterogeneous material of the lung on deformable image registration", Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 72610V (13 March 2009); https://doi.org/10.1117/12.813828
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Lung

Motion models

Image registration

Finite element methods

3D modeling

Tissues

Tumors

Back to Top