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Modeling Respiratory Motion for Cancer Radiation Therapy Based on Patient-Specific 4DCT Data

  • Jaesung Eom
  • Chengyu Shi
  • Xie George Xu
  • Suvranu De
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5762)

Abstract

Prediction of respiratory motion has the potential to substantially improve cancer radiation therapy. A nonlinear finite element (FE) model of respiratory motion during full breathing cycle has been developed based on patient specific pressure-volume relationship and 4D Computed Tomography (CT) data. For geometric modeling of lungs and ribcage we have constructed intermediate CAD surface which avoids multiple geometric smoothing procedures. For physiologically relevant respiratory motion modeling we have used pressure-volume (PV) relationship to apply pressure loading on the surface of the model. A hyperelastic soft tissue model, developed from experimental observations, has been used. Additionally, pleural sliding has been considered which results in accurate deformations in the superior-inferior (SI) direction. The finite element model has been validated using 51 landmarks from the CT data. The average differences in position is seen to be 0.07 cm (SD = 0.20 cm), 0.07 cm (0.15 cm), and 0.22 cm (0.18 cm) in the left-right, anterior-posterior, and superior-inferior directions, respectively.

Keywords

Respiratory Motion Compute Tomography Data Nonlinear Finite Element Deformable Image Registration Laplacian Smoothing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Supplementary material

Supplementary material (4,865 KB)

References

  1. 1.
    McClelland, J., Blackall, J., Tarte, S., Chandler, A., Hughes, S., Ahmad, S., Landau, D., Hawkes, D.: A continuous 4D motion model from multiple respiratory cycles for use in lung radiotherapy. Medical Physics 33, 3348 (2006)CrossRefGoogle Scholar
  2. 2.
    Sarrut, D., Boldea, V., Miguet, S., Ginestet, C.: Simulation of four-dimensional CT images from deformable registration between inhale and exhale breath-hold CT scans. Medical Physics 33, 605 (2006)CrossRefGoogle Scholar
  3. 3.
    Zhang, T., Orton, N.P., Mackie, T.R., Paliwal, B.R.: Technical note: A novel boundary condition using contact elements for finite element deformable image registration. Medical Physics 31, 2412–2415 (2004)CrossRefGoogle Scholar
  4. 4.
    Al-Mayah, A., Moseley, J., Brock, K.: Contact surface and material nonlinearity modeling of human lungs. Physics in Medicine and Biology 53, 305 (2008)CrossRefGoogle Scholar
  5. 5.
    Brock, K., Sharpe, M., Dawson, L., Kim, S., Jaffray, D.: Accuracy of finite element model-based multi-organ deformable image registration. Medical Physics 32, 1647 (2005)CrossRefGoogle Scholar
  6. 6.
    West, J.: Respiratory Physiology: The Essentials. Williams & Wilkins (2007)Google Scholar
  7. 7.
    Lin, L., Shi, C.T., Liu, Y., Swanson, G., Papanikolaou, N.: Development of a novel post-processing treatment planning platform for 4D radiotherapy. Technology in Cancer Research & Treatment 7, 125–132 (2008)Google Scholar
  8. 8.
    Villard, P., Beuve, M., Shariat, B., Baudet, V., Jaillet, F.: Lung mesh generation to simulate breathing motion with a finite element method. In: Proceedings of Eighth International Conference on Information Visualisation. IV 2004, pp. 194–199 (2004)Google Scholar
  9. 9.
    D’Angelo, E., Loring, S., Gioia, M., Pecchiari, M., Moscheni, C.: Friction and lubrication of pleural tissues. Respiratory Physiology & Neurobiology 142, 55–68 (2004)CrossRefGoogle Scholar
  10. 10.
    Lujan, A.E., Larsen, E.W., Balter, J.M., Ten Haken, R.K.: A method for incorporating organ motion due to breathing into 3D dose calculations. Medical Physics 26, 715–720 (1999)CrossRefGoogle Scholar
  11. 11.
    Santhanam, A.: Modeling, Simulation, And Visualization of 3d Lung Dynamics. University of Central Florida Orlando, Florida (2006)Google Scholar
  12. 12.
    Zeng, Y., Yager, D., Fung, Y.: Measurement of the mechanical properties of the human lung tissue. Journal of Biomechanical Engineering 109, 169–174 (1987)CrossRefGoogle Scholar
  13. 13.
    Bathe, K.: Finite element procedures. Englewood Cliffs, New Jersey (1996)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jaesung Eom
    • 1
  • Chengyu Shi
    • 2
  • Xie George Xu
    • 1
  • Suvranu De
    • 1
  1. 1.Department of Mechanical, Aerospace and Nuclear EngineeringRensselaer Polytechnic InstituteTroyUSA
  2. 2.Department of Radiation OncologyUniversity of Texas Health Science Center at San AntonioSan AntonioUSA

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