Paper
1 March 2011 Effects of deflated lung's geometry simplifications on the biomechanical model of its tumor motion: a phantom study
Ali Sadeghi Naini, Rajni V. Patel, Abbas Samani
Author Affiliations +
Abstract
Deflated lung's geometry simplifications effects on the accuracy of its biomechanical model used for its tumor motion prediction are investigated. This investigation is necessary to determine the highest degree of simplifications that can be incorporated in the lung's Finite Element (FE) model without compromising its ability to predict tumor motion with reasonable accuracy. The simplifications involve neglecting the lung's airways in its FE model. Such simplification is important to avoid unnecessary complications and to pave the way for fast tumor location prediction during a lung tumor ablative procedure such as brachytherapy. One major factor, which may affect the accuracy of such ablative procedures, is tumor motion resulting from lung tissue deformation caused by respiration. Although the target lung is almost completely deflated during the procedure, tissue deformation remains an issue due to diaphragm contact forces during respiration. In this investigation several numerical experiments were conducted using different tumor and airway sizes and locations in conjunction with both elastic and hyperelastic material models. Sensitivity of the tumor's motion prediction accuracy to the geometry simplification was then presented as a function of airways' size relative to the tumor's size. FE analysis results obtained for both material models suggest that tumor displacements due to surface contact forces are not very sensitive to geometry simplification carried out by omitting airways as long as the airways size does not exceed the tumor size.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ali Sadeghi Naini, Rajni V. Patel, and Abbas Samani "Effects of deflated lung's geometry simplifications on the biomechanical model of its tumor motion: a phantom study", Proc. SPIE 7964, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling, 79642F (1 March 2011); https://doi.org/10.1117/12.873994
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Tumors

Lung

Motion models

Tissues

Finite element methods

Lung cancer

Chemical elements

Back to Top