Share Email Print
cover

Proceedings Paper

Effects of deflated lung's geometry simplifications on the biomechanical model of its tumor motion: a phantom study
Author(s): Ali Sadeghi Naini; Rajni V. Patel; Abbas Samani
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 1 March 2011
PDF: 8 pages
Proc. SPIE 7964, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling, 79642F (1 March 2011); doi: 10.1117/12.873994
Show Author Affiliations
Ali Sadeghi Naini, The Univ. of Western Ontario (Canada)
Robarts Research Institute (Canada)
Lawson Health Research Institute (Canada)
Rajni V. Patel, The Univ. of Western Ontario (Canada)
Lawson Health Research Institute (Canada)
Abbas Samani, The Univ. of Western Ontario (Canada)
Robarts Research Institute (Canada)


Published in SPIE Proceedings Vol. 7964:
Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling
Kenneth H. Wong; David R. Holmes, Editor(s)

© SPIE. Terms of Use
Back to Top