Automated segmentation of a motion mask to preserve sliding motion in deformable registration of thoracic CT

Medical Physics

Volumn 39, Issue 2, 2012, Pages 1006-1015

  Vandemeulebroucke, Jef ^a   Bernard, Olivier ^a   Rit, Simon ^a   Kybic, Jan ^b   Clarysse, Patrick ^c   Sarrut, David ^a  

^a UNIVERSITÉ LYON 1   (France)

^b Lon Brard Cancer Center   (France)

^c CZECH TECHNICAL UNIVERSITY IN PRAGUE   (Czech Republic)

Author keywords

deformable registration; lung cancer; respiratory motion

Indexed keywords

BINARY IMAGES; BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; DEFORMATION; MOTION ANALYSIS;

AUTOMATED SEGMENTATION; AUTOMATED SEGMENTATION METHOD; DEFORMABLE REGISTRATION; LEVEL SET SEGMENTATION; LUNG CANCER; REGISTRATION PERFORMANCE; RESPIRATORY MOTIONS; SIMULTANEOUS ESTIMATION;

IMAGE SEGMENTATION;

EID: 84856951888     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3679009     Document Type: Article

References (39)

1. M. L. Kessler, Image registration and data fusion in radiation therapy., Br. J. Radiol. 79, S99-S108 (2006). 10.1259/bjr/70617164
2. D. Sarrut, Deformable registration for image-guided radiation therapy., Z. Med. Phys. 16, 285-297 (2006).
3. P. Keall, 4-dimensional computed tomography imaging and treatment planning., Semin. Radiat. Oncol. 14 (1), 81-90 (2004). 10.1053/j.semradonc.2003. 10.006
4. A. Schmidt -Richberg, J. Ehrhardt, R. Werner, and H. Handels, Slipping objects in image registration: improved motion field estimation with direction-dependent regularization., Med. Image Comput. Comput. Assist. Interven. 12 (Pt 1), 755-762 (2009).
5. Z. Wu, E. Rietzel, V. Boldea, D. Sarrut, and G. C. Sharp, Evaluation of deformable registration of patient lung 4D CT with subanatomical region segmentations., Med. Phys. 35 (2), 775-781 (2008). 10.1118/1.2828378
6. J. W. H. Wolthaus, J. J. Sonke, M. van Herk, and E. M. F. Damen, Reconstruction of a time-averaged midposition CT scan for radiotherapy planning of lung cancer patients using deformable registration., Med. Phys. 35 (9), 3998-4011 (2008). 10.1118/1.2966347
7. D. Ruan, J. A. Fessler, and S. Esedo, Discontinuity preserving regularization for modeling sliding effects in medical image registration., in Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference, 2008, pp. 5304-8.
8. D. Ruan, S. Esedoglu, and J. A. Fessler, Discriminative sliding preserving regularization in medical image registration., in Proceedings of the IEEE International Symposium on Biomedical Imaging, 2009, pp. 430-3.
9. S. Y. Chun, J. A. Fessler, and M. L. Kessler, A simple penalty that encourages local invertibility and considers sliding effects for respiratory motion., in Proceedings of SPIE Medical Imaging Processing, 2009, p. 72592U.
10. S. Kabus, T. Klinder, K. Murphy, B. van Ginneken, C. Lorenz, and J. P. W. Pluim, Evaluation of 4D-CT lung registration., Med. Image Comput. Comput. Assist. Interv. 12, 747-754 (2009).
11. J. R. McClelland, S. Hughes, M. Modat, A. Qureshi, S. Ahmad, D. B. Landau, S. Ourselin, and D. J. Hawkes, Inter-fraction variations in respiratory motion models., Phys. Med. Biol. 56 (1), 251-272 (2011). 10.1088/0031-9155/56/1/ 015
12. M. von Siebenthal, G. Sz ́kely, U. Gamper, P. Boesiger, A. Lomax, and P. Cattin, 4D MR imaging of respiratory organ motion and its variability., Phys. Med. Biol. 52 (6), 1547-1564 (2007). 10.1088/0031-9155/52/6/001
13. Y. Xie, M. Chao, and G. Xiong, Deformable image registration of liver with consideration of lung sliding motion., Med. Phys. 38 (10), 5351 (2011). 10.1118/1.3633902
14. S. Flampouri, S. B. Jiang, G. C. Sharp, J. Wolfgang, A. A. Patel, and 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, 2763-2779 (2006). 10.1088/0031-9155/51/11/006
15. Eike Rietzel and George T. Y. Chen, Deformable registration of 4D computed tomography data., Med. Phys. 33 (11), 4423-4430 (2006). 10.1118/1.2361077
16. V. Delmon, S. Rit, R. Pinho, D. Sarrut, and V. Delmon, Direction dependent b-splines decomposition for the registration of sliding objects., in Proceedings of the Fourth International Workshop on Pulmonary Image Analysis, Toronto, Canada, 2011, pp. 45-55.
17. R. Werner, J. Ehrhardt, R. Schmidt, and H. Handels, Patient-specific finite element modeling of respiratory lung motion using 4D CT image data., Med. Phys. 36 (5), 1500-1511 (2009). 10.1118/1.3101820
18. M. Schuenke, E. Schulte, and U. Schumacher, Neck and Internal Organs (THIEME Atlas of Anatomy) (Thieme Medical Publishers Inc., Thieme Medical Publishers, New York, 2010).
19. H. Gray. Anatomy of the Human Body, 20th ed. (Lea Febiger, Philidelphia, 1918).
20. S. Osher and J. Sethian, Fronts propagating with curvature dependent speed: Algorithms based on Hamilton-Jacobi formulations., J. Computat. Phys. 79, 12-49 (1988). 10.1016/0021-9991(88)90002-2
21. P. Perona and J. Malik, Scale-space and edge detection using anisotropic diffusion., IEEE Trans. Pattern Anal. Mach. Intell. 12 (7), 629-639 (1990). 10.1109/34.56205
22. E. M. van Rikxoort, B. deHoop, M. A. Viergever, M. Prokop, and B. van Ginneken, Automatic lung segmentation from thoracic computed tomography scans using a hybrid approach with error detection., Med. Phys. 36 (7), 2934-2947 (2009). 10.1118/1.3147146
23. K. Mori, J. Hasegawa, J. Toriwaki, H. Anno, and K. Katada, Recognition of bronchus in three-dimensional X-ray CT images with application to virtualized bronchoscopy system., Proc. Int. Conf. Pattern Recognit. 3, 528-532 (1996). 10.1109/ICPR.1996.547003
24. N. Otsu, A threshold selection method from gray-level histograms., IEEE Trans. Syst. Man Cybern. 9 (1), 62-66 (1979). 10.1109/TSMC.1979.4310076
25. S. J. Osher and R. P. Fedkiw, Level Set Methods and Dynamic Implicit Surfaces (Springer, New York, 2002).
26. V. Caselles, R. Kimmel, and G. Sapiro, Geodesic active contours., Int. J. Comput. Vis. 22, 61-79 (1997). 10.1023/A:1007979827043
27. R. Malladi, J. A. Sethian, and B. C. Vemuri, Shape modeling with front propagation: a level set approach., IEEE Trans. Pattern Anal. Mach. Intell. 17 (2), 158-175 (1995). 10.1109/34.368173
28. http://www.DIR-LAB.com.
29. L. Ibanez, W. Schroeder, L. Ng, and J. Cates, The ITK Software Guide, 2nd ed. (Kitware, Inc., New York, 2005). http://www.itk.org/ItkSoftwareGuide.pdf.
30. D. Rueckert, L. I. Sonoda, C. Hayes, D. L. Hill, M. O. Leach, and D. J. Hawkes, Nonrigid registration using free-form deformations: application to breast MR images., IEEE Trans. Med. Imaging 18 (8), 712-721 (1999). 10.1109/42.796284
31. Byrd, Lu, and Nocedal, A limited memory algorithm for bound-constrained optimization., SIAM J. Sci. Comput. 16 (5), 1190-1208 (1995). 10.1137/0916011
32. K. Murphy, B. van Ginneken, S. Klein, M. Staring, B. deHoop, M. Viergever, and J. Pluim, Semi-automatic construction of reference standards for evaluation of image registration., Med. Image Anal. 15, 71-84 (2011). 10.1016/j.media.2010.07.005
33. J. Vandemeulebroucke, S. Rit, J. Kybic, P. Clarysse, and D. Sarrut, Spatio-temporal motion estimation for respiratory-correlated imaging of the lungs., Med. Phys. 38 (1), 166-178 (2011). 10.1118/1.3523619
34. E. Castillo, R. Castillo, J. Martinez, M. Shenoy, and T. Guerrero, Four-dimensional deformable image registration using trajectory modeling., Phys. Med. Biol. 55 (1), 305-327 (2010). 10.1088/0031-9155/55/1/018
35. R. Castillo, E. Castillo, R. Guerra, V. E. Johnson, T. McPhail, A. K. Garg, and T. Guerrero, A framework for evaluation of deformable image registration spatial accuracy using large landmark point sets., Phys. Med. Biol. 54 (7), 1849-1870 (2009). 10.1088/0031-9155/54/7/001
36. L. R. Dice, Measures of the amount of ecologic association between species., Ecology 26 (3), 297-302 (1945). 10.2307/1932409
37. J. Vandemeulebroucke, S. Rit, J. Schaerer, and D. Sarrut, Deformable image registration with automated motion-mask extraction., in Medical Image Analysis for the Clinic: A Grand Challenge 2010 of the MICCAI Conference, September 2010, pp. 119-125.
38. J. Staal, B. van Ginneken, and M. Viergever, Automatic rib segmentation and labeling in computed tomography scans using a general framework for detection, recognition and segmentation of objects in volumetric data., Med. Image Anal. 11 (1), 35-46 (2007). 10.1016/j.media.2006.10.001
39. K. Ding, Y. Yin, K. Cao, G. E. Christensen, C.- L. Lin, E. A. Hoffman, and J. M. Reinhardt, Evaluation of lobar biomechanics during respiration using image registration., Med. Image Comput. Comput. Assist. Interv. 12 (Pt 1), 739-746 (2009).