Numerical Analysis for Determining the Displacements of a Lung Tumor


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In this paper, a numerical analysis is undertaken in order to establish the three dimensional linear displacementsof tumors located inside the lung. In this way, the position of the tumor can be emphasized in various stages of the breathing process, helping thus the healthcare professionals both in surgical operations and in performing transbronchial biopsy. First, a geometrical model of the lung and airways was achieved with a 3D reconstruction program using CT scan images. The model was then imported in the ANSYS finite element software, which was used to perform the numerical simulations. The breathing process was simulated by applying external pressure on the surfaces of the lung. The values of this pressure were chosen as to correspond to the inspiration phase of the breathing process. Finally, conclusions are drawn regarding the values of the displacement of the nodules during breathing.



Main Theme:

Edited by:

Antoniac Iulian, Albu Madalina, Sinescu Cosmin and Miculescu Marian






H. A. Petrescu et al., "Numerical Analysis for Determining the Displacements of a Lung Tumor", Key Engineering Materials, Vol. 638, pp. 177-182, 2015

Online since:

March 2015




* - Corresponding Author

[1] J. Eom, X.G. Xu, S. De, Predictive modeling of lung motion over the entire respiratory cycle using measured pressure-volume data, 4DCT images, and finite-element analysis, Medical Physics 37(8) (2010) DOI: 10. 1118/1. 3455276.

DOI: 10.1118/1.3455276

[2] R. Werner, J. Ehrhardt, R. Schmidt, H. Handels, Modeling Respiratory Lung Motion – a Biophysical Approach using Finite Element Methods, Medical Imaging 2008: Physiology, Function, and Structure from Medical Images edited by Xiaoping P. Hu, Anne V. Clough, Proc. of SPIE Vol. 6916 69160N (2008).

DOI: 10.1117/12.769155

[3] J.R. Fitz-Clarke, Computer simulation of human breath-hold diving: cardiovascular adjustments, Journal Appl. Physiol. (2007) 207-224.

DOI: 10.1007/s00421-007-0421-z

[4] A.L. Didier, P.F. Villard, J.Y. Bayle, M. Beuve, B. Shariat, Breathing Thorax Simulation based on Pleura Physiology and Rib Kinematics, in: Proceedings of the International Conference on Medical Information Visualisation – Bio Medical Visualisation MediVis 2007, Zurich, 4-6 July (2007).

DOI: 10.1109/medivis.2007.8

[5] F. Li, F. Porikli, Biomechanical Simulation of Lung Deformation from One CT Scan, in: Bio-Imaging and Visualization for Patient-Customized Simulations, Lecture Notes in Computational Vision and Biomechanics 13, J.M.R.S. Tavares et al. (eds. ), Springer International Publishing Switzerland, (2014).

DOI: 10.1007/978-3-319-03590-1_2

[6] * * * The Management of Respiratory Motion in Radiation Oncology, Report of AAPM Task Group 76, American Association of Physicists in Medicine (2006).

[7] P.F. Villard, M., Beuve, B. Shariat, V. Baudet, F. Jaillet, Simulation of lung behaviour with finite elements: influence of bio-mechanical parameters, in: Proceedings of the Third International Conference on Medical Information Visualisation - Biomedical Visualisation MediVis (2005).

DOI: 10.1109/medivis.2005.15

[8] R. De Wilde, J. Clement, J. M. Hellemans, M. Decramer, M. Demedts, R. Boving, K. P. Van de Woestijne, Model of elasticity of the human lung, J Appl. Physiol. 51(2) (1981) 254-261.

[9] T. Zhang, N.P. Orton, T.R. Mackie, B.R. Paliwal, Technical note: A novel boundary condition using contact elements for finite element based deformable image registration, Med. Phys. 31(9) (2004) 2412-2415.

DOI: 10.1118/1.1774131

[10] A. Al-Mayah, J. Moseley, K.K. Brock, Contact surface and material nonlinearity modeling of human lungs, Phys. Med. Biol. 53(1) (2008) 305-317.

DOI: 10.1088/0031-9155/53/1/022

[11] * * * ANSYS 12. 0 – release notes, ANSYSInc, Canonsburg, PA, (2009).

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