Material Density Mapping on Deformable 3D Models of Human Organs
Organ motion, especially respiratory motion, is a technical challenge to radiation therapy planning and dosimetry. This motion induces displacements and deformation of the organ tissues within the irradiated region which need to be taken into account when simulating dose distribution during treatment. Finite element modeling (FEM) can provide a great insight into the mechanical behavior of the organs, since they are based on the biomechanical material properties, complex geometry of organs, and anatomical boundary conditions. In this paper we present an original approach that offers the possibility to combine image-based biomechanical models with particle transport simulations. We propose a new method to map material density information issued from CT images to deformable tetrahedral meshes. Based on the principle of mass conservation our method can correlate density variation of organ tissues with geometrical deformations during the different phases of the respiratory cycle. The first results are particularly encouraging, as local error quantification of density mapping on organ geometry and density variation with organ motion are performed to evaluate and validate our approach.
[1] W. Schneider, T. Bortfeld, W. Schelgel, Correlation between CT numbers
and tissue parameters needed for Monte Carlo simulations of clinical
dose distributions, Phys. Med. Biol. 45; 459-478, 2000.
[2] J. Seco, G. Sharp, Z. Wu, D. Gierga, F. Buettner, H. Paganetti, Dosimetric
impact of motion in free-breathing and gated lung radiotherapy: A 4D
Monte Carlo study of intrafraction and interfraction effects, Med. Phys;
35(1): 356-366, 2008.
[3] M. Rosu, I.J. Chetty, J.M. Balter, M.L. Kessler, D.L. McShan, R.K. Ten
Haken Dose reconstruction in deforming lung anatomy: dose grid size
effects and clinical implications. Med. Phys;32:248795, 2005.
[4] D. Sarrut, Deformable registration for image-guided radiation therapy,
Zeitschrift fur medizinische Physik 16 (4), 285-97, 2006.
[5] V. Boldea, G. Sharp, S. Jiang, D. Sarrut, 4D-CT lung motion estimation
with deformable registration. Quantification of motion nonlinearity and
hysteresis, Medical Physics 35 (3), 1008, 2008.
[6] S. Flampouri, S.B. Jiang, G.C. Sharp, J. Wolfgang, A.A. Patel, N.C. Choi,
Estimation of the delivered patient dose in lung IMRT treatment based
on deformable registration of 4D-CT data and Monte Carlo simulations.
Phys. Med. Biol;51:276379, 2006.
[7] E. Heath, J. Sentjens. A direct voxel tracking method for fourdimensional
Monte Carlo dose calculation in deforming anatomy. Med.
Phys;33:43445, 2006.
[8] M. Velec, J. Moseley, B. Math, C. Eccles, T. Craig, M. Sharpe, L. Dawson,
K. Brock, Effect of breathing motion on radiotherapy dose accumulation
in the abdomen using deformable registration. Int. J Radiation Oncology
Biol. Phys., Vol 80, No. 1, 265-272, 2011.
[9] J. Saade, A.L. Didier, P.F. Villard, R. Buttin, J.M. Moreau, M. Beuve,
B. Shariat, A preliminary study for biomechanical model of the respiratpry
system, VISAPP, 2010.
[10] A. Al-Mayah , J. Moseley , M. Velec, K. Brock , Toward efficient
biomechanical-based deformable image registration of lungs for imageguided
radiotherapy, Phys. Med. Biol. volume 56, number 15, 56 4701,
2011.
[11] M. Velec, J. Moseley, B. Math, T. Craig, , L. Dawson, K. Brock,
Accumulated dose in liver stereotactic body radiotherapy:positioning,
breathing and deformation effects. Int. J Radiation Oncology Biol. Phys.,
Vol 80, No. 1, 1-9, 2011.
[12] K. Brock , D. McShan , R. Ten Haken , S. Hollister , L. Dawson ,
J. Balter , Inclusion of organ deformation in dose calculations, Medical
Physics , Vol. 30 (3), 290-295, 2003.
[13] A. Bhatt , R. Wakhedhar , Reverse Engineering of Human Body: A Bspline
based Heterogeneous Modeling Approach, Computer-Aided Design
and Applications, www.cadanda.com, 2008.
[14] M. Kalos , P. Whitlock , Monte Carlo Methods, Wiley, New York, 1986.
[15] C. Rocchini , P. Cignoni , Generating random points in a tetrahedron,
Journal of Graphics Tools, Vol. 5, 200, 2001.
[16] T. Yoo , MJ. Ackerman , WE. Lorensen , Engineering and algorithm
design for an image processing Api: a techiincal report on ITK - the Insight
Toolkit, Stud Health Technol Inform 85: 586-92, http://www.itk.org,
2002.
[17] W. Schroeder , K. Martin , B. Lorensen , The Visualization Toolkit, ISBN
978-1930934191, http://www.vtk.org, 2006.
[18] P. Yushkevich , J. Piven , H. Hazlett , R. Smith , S. Ho , J. Gee ,
G. Gerig , User-guided 3D active contour segmentation of anatomical
structures: Significantly improved efficiency and reliability, Neuroimage
31(3);1116-28, 2006.
[19] M. Attene , B. Falcidieno , ReMesh: An interactive Environment to Edit
and Repair Triangle Meshes, Procs of Shape Modeling International (SMI
-06), IEEE C.S Press; 271-276, 2006.
[20] Z. Zhang , Iterative Point Matching for Registration of Free-form Curves,
International Journal of Computer Vision, 13:2, 119-152, 1994.
[1] W. Schneider, T. Bortfeld, W. Schelgel, Correlation between CT numbers
and tissue parameters needed for Monte Carlo simulations of clinical
dose distributions, Phys. Med. Biol. 45; 459-478, 2000.
[2] J. Seco, G. Sharp, Z. Wu, D. Gierga, F. Buettner, H. Paganetti, Dosimetric
impact of motion in free-breathing and gated lung radiotherapy: A 4D
Monte Carlo study of intrafraction and interfraction effects, Med. Phys;
35(1): 356-366, 2008.
[3] M. Rosu, I.J. Chetty, J.M. Balter, M.L. Kessler, D.L. McShan, R.K. Ten
Haken Dose reconstruction in deforming lung anatomy: dose grid size
effects and clinical implications. Med. Phys;32:248795, 2005.
[4] D. Sarrut, Deformable registration for image-guided radiation therapy,
Zeitschrift fur medizinische Physik 16 (4), 285-97, 2006.
[5] V. Boldea, G. Sharp, S. Jiang, D. Sarrut, 4D-CT lung motion estimation
with deformable registration. Quantification of motion nonlinearity and
hysteresis, Medical Physics 35 (3), 1008, 2008.
[6] S. Flampouri, S.B. Jiang, G.C. Sharp, J. Wolfgang, A.A. Patel, N.C. Choi,
Estimation of the delivered patient dose in lung IMRT treatment based
on deformable registration of 4D-CT data and Monte Carlo simulations.
Phys. Med. Biol;51:276379, 2006.
[7] E. Heath, J. Sentjens. A direct voxel tracking method for fourdimensional
Monte Carlo dose calculation in deforming anatomy. Med.
Phys;33:43445, 2006.
[8] M. Velec, J. Moseley, B. Math, C. Eccles, T. Craig, M. Sharpe, L. Dawson,
K. Brock, Effect of breathing motion on radiotherapy dose accumulation
in the abdomen using deformable registration. Int. J Radiation Oncology
Biol. Phys., Vol 80, No. 1, 265-272, 2011.
[9] J. Saade, A.L. Didier, P.F. Villard, R. Buttin, J.M. Moreau, M. Beuve,
B. Shariat, A preliminary study for biomechanical model of the respiratpry
system, VISAPP, 2010.
[10] A. Al-Mayah , J. Moseley , M. Velec, K. Brock , Toward efficient
biomechanical-based deformable image registration of lungs for imageguided
radiotherapy, Phys. Med. Biol. volume 56, number 15, 56 4701,
2011.
[11] M. Velec, J. Moseley, B. Math, T. Craig, , L. Dawson, K. Brock,
Accumulated dose in liver stereotactic body radiotherapy:positioning,
breathing and deformation effects. Int. J Radiation Oncology Biol. Phys.,
Vol 80, No. 1, 1-9, 2011.
[12] K. Brock , D. McShan , R. Ten Haken , S. Hollister , L. Dawson ,
J. Balter , Inclusion of organ deformation in dose calculations, Medical
Physics , Vol. 30 (3), 290-295, 2003.
[13] A. Bhatt , R. Wakhedhar , Reverse Engineering of Human Body: A Bspline
based Heterogeneous Modeling Approach, Computer-Aided Design
and Applications, www.cadanda.com, 2008.
[14] M. Kalos , P. Whitlock , Monte Carlo Methods, Wiley, New York, 1986.
[15] C. Rocchini , P. Cignoni , Generating random points in a tetrahedron,
Journal of Graphics Tools, Vol. 5, 200, 2001.
[16] T. Yoo , MJ. Ackerman , WE. Lorensen , Engineering and algorithm
design for an image processing Api: a techiincal report on ITK - the Insight
Toolkit, Stud Health Technol Inform 85: 586-92, http://www.itk.org,
2002.
[17] W. Schroeder , K. Martin , B. Lorensen , The Visualization Toolkit, ISBN
978-1930934191, http://www.vtk.org, 2006.
[18] P. Yushkevich , J. Piven , H. Hazlett , R. Smith , S. Ho , J. Gee ,
G. Gerig , User-guided 3D active contour segmentation of anatomical
structures: Significantly improved efficiency and reliability, Neuroimage
31(3);1116-28, 2006.
[19] M. Attene , B. Falcidieno , ReMesh: An interactive Environment to Edit
and Repair Triangle Meshes, Procs of Shape Modeling International (SMI
-06), IEEE C.S Press; 271-276, 2006.
[20] Z. Zhang , Iterative Point Matching for Registration of Free-form Curves,
International Journal of Computer Vision, 13:2, 119-152, 1994.
@article{"International Journal of Medical, Medicine and Health Sciences:60402", author = "Petru Manescu and Joseph Azencot and Michael Beuve and Hamid Ladjal and Jacques Saade and Jean-Michel Morreau and Philippe Giraud and Behzad Shariat", title = "Material Density Mapping on Deformable 3D Models of Human Organs", abstract = "Organ motion, especially respiratory motion, is a technical challenge to radiation therapy planning and dosimetry. This motion induces displacements and deformation of the organ tissues within the irradiated region which need to be taken into account when simulating dose distribution during treatment. Finite element modeling (FEM) can provide a great insight into the mechanical behavior of the organs, since they are based on the biomechanical material properties, complex geometry of organs, and anatomical boundary conditions. In this paper we present an original approach that offers the possibility to combine image-based biomechanical models with particle transport simulations. We propose a new method to map material density information issued from CT images to deformable tetrahedral meshes. Based on the principle of mass conservation our method can correlate density variation of organ tissues with geometrical deformations during the different phases of the respiratory cycle. The first results are particularly encouraging, as local error quantification of density mapping on organ geometry and density variation with organ motion are performed to evaluate and validate our approach.
", keywords = "Biomechanical simulation, dose distribution, image guided radiation therapy, organ motion, tetrahedral mesh, 4D-CT.", volume = "6", number = "6", pages = "240-10", }
