Table of Contents Author Guidelines Submit a Manuscript
Computational and Mathematical Methods in Medicine
Volume 2015, Article ID 265497, 9 pages
http://dx.doi.org/10.1155/2015/265497
Research Article

Methodology for Registration of Shrinkage Tumors in Head-and-Neck CT Studies

1Department of Radiation Oncology, Ningbo Treatment Center, Ningbo Lihuili Hospital, Ningbo, Zhejiang 315000, China
2Department of Radiation Oncology, Cancer Institute (Hospital), Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China
3Key Laboratory of Particle and Radiation Imaging of Chinese Ministry of Education, Department of Engineering Physics, Tsinghua University, Beijing 100084, China
4The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China
5Sir Run Run Shaw Hospital, Institute of Translational Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China

Received 31 October 2014; Revised 15 January 2015; Accepted 28 January 2015

Academic Editor: Panagiotis Mavroidis

Copyright © 2015 Jianhua Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. D. Sarrut, “Deformable registration for image-guided radiation therapy,” Zeitschrift fur Medizinische Physik, vol. 16, no. 4, pp. 285–297, 2006. View at Publisher · View at Google Scholar · View at Scopus
  2. J. Orban de Xivry, P. Castadot, G. Janssens et al., “Evaluation of the radiobiological impact of anatomic modifications during radiation therapy for head and neck cancer: can we simply summate the dose?” Radiotherapy and Oncology, vol. 96, no. 1, pp. 131–138, 2010. View at Publisher · View at Google Scholar · View at Scopus
  3. P. Castadot, X. Geets, J. A. Lee, and V. Grégoire, “Adaptive functional image-guided IMRT in pharyngo-laryngeal squamous cell carcinoma: is the gain in dose distribution worth the effort?” Radiotherapy and Oncology, vol. 101, no. 3, pp. 343–350, 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. J. L. Barker Jr., A. S. Garden, K. K. Ang et al., “Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system,” International Journal of Radiation Oncology Biology Physics, vol. 59, no. 4, pp. 960–970, 2004. View at Publisher · View at Google Scholar · View at Scopus
  5. E. K. Hansen, M. K. Bucci, J. M. Quivey, V. Weinberg, and P. Xia, “Repeat CT imaging and replanning during the course of IMRT for head-and-neck cancer,” International Journal of Radiation Oncology Biology Physics, vol. 64, no. 2, pp. 355–362, 2006. View at Publisher · View at Google Scholar · View at Scopus
  6. Q. Wu, Y. Chi, P. Y. Chen, D. J. Krauss, D. Yan, and A. Martinez, “Adaptive replanning strategies accounting for shrinkage in head and neck IMRT,” International Journal of Radiation Oncology Biology Physics, vol. 75, no. 3, pp. 924–932, 2009. View at Publisher · View at Google Scholar · View at Scopus
  7. J. P. Thirion, “Image matching as a diffusion process: an analogy with Maxwell's demons,” Medical Image Analysis, vol. 2, no. 3, pp. 243–260, 1998. View at Publisher · View at Google Scholar · View at Scopus
  8. H. Wang, L. Dong, J. O'Daniel et al., “Validation of an accelerated ‘demons’ algorithm for deformable image registration in radiation therapy,” Physics in Medicine and Biology, vol. 50, no. 12, pp. 2887–2905, 2005. View at Publisher · View at Google Scholar · View at Scopus
  9. R. Varadhan, G. Karangelis, K. Krishnan, and S. Hui, “A framework for deformable image registration validation in radiotherapy clinical applications,” Journal of Applied Clinical Medical Physics, vol. 14, no. 1, article 4066, 2013. View at Publisher · View at Google Scholar
  10. N. Stanley, C. Glide-Hurst, J. Kim et al., “Using patient-specific phantoms to evaluate deformable image registration algorithms for adaptive radiation therapy,” Journal of Applied Clinical Medical Physics, vol. 14, no. 6, pp. 177–194, 2013. View at Google Scholar · View at Scopus
  11. P. Castadot, J. A. Lee, A. Parraga, X. Geets, B. Macq, and V. Grégoire, “Comparison of 12 deformable registration strategies in adaptive radiation therapy for the treatment of head and neck tumors,” Radiotherapy and Oncology, vol. 89, no. 1, pp. 1–12, 2008. View at Publisher · View at Google Scholar · View at Scopus
  12. M. Foskey, B. Davis, L. Goyal et al., “Large deformation three-dimensional image registration in image-guided radiation therapy,” Physics in Medicine and Biology, vol. 50, no. 24, pp. 5869–5892, 2005. View at Publisher · View at Google Scholar · View at Scopus
  13. S. Gao, L. Zhang, H. Wang et al., “A deformable image registration method to handle distended rectums in prostate cancer radiotherapy,” Medical Physics, vol. 33, no. 9, pp. 3304–3312, 2006. View at Publisher · View at Google Scholar · View at Scopus
  14. A. Godley, E. Ahunbay, C. Peng, and X. A. Li, “Automated registration of large deformations for adaptive radiation therapy of prostate cancer,” Medical Physics, vol. 36, no. 4, pp. 1433–1441, 2009. View at Publisher · View at Google Scholar · View at Scopus
  15. D. Yang, S. R. Chaudhari, S. M. Goddu et al., “Deformable registration of abdominal kilovoltage treatment planning CT and tomotherapy daily megavoltage CT for treatment adaptation,” Medical Physics, vol. 36, no. 2, pp. 329–337, 2009. View at Publisher · View at Google Scholar · View at Scopus
  16. B. Rodriguez-Vila, F. Garcia-Vicente, and E. J. Gomez, “Methodology for registration of distended rectums in pelvic CT studies,” Medical Physics, vol. 39, no. 10, pp. 6351–6359, 2012. View at Publisher · View at Google Scholar · View at Scopus
  17. J. F. Fowler, “The linear-quadratic formula and progress in fractionated radiotherapy,” British Journal of Radiology, vol. 62, no. 740, pp. 679–694, 1989. View at Publisher · View at Google Scholar · View at Scopus
  18. H. Wang, L. Dong, M. F. Lii et al., “Implementation and validation of a three-dimensional deformable registration algorithm for targeted prostate cancer radiotherapy,” International Journal of Radiation Oncology Biology Physics, vol. 61, no. 3, pp. 725–735, 2005. View at Publisher · View at Google Scholar · View at Scopus
  19. M. Avanzo, J. Stancanello, G. Franchin et al., “Correlation of a hypoxia based tumor control model with observed local control rates in nasopharyngeal carcinoma treated with chemoradiotherapy,” Medical Physics, vol. 37, no. 4, pp. 1533–1544, 2010. View at Publisher · View at Google Scholar · View at Scopus
  20. R. M. Wyatt, A. H. Beddoe, and R. G. Dale, “The effects of delays in radiotherapy treatment on tumour control,” Physics in Medicine and Biology, vol. 48, no. 2, pp. 139–155, 2003. View at Publisher · View at Google Scholar · View at Scopus
  21. S. Webb, “Optimum parameters in a model for tumour control probability including interpatient heterogeneity,” Physics in Medicine and Biology, vol. 39, no. 11, pp. 1895–1914, 1994. View at Publisher · View at Google Scholar · View at Scopus
  22. J. F. Fowler, “Is there an optimum overall time for head and neck radiotherapy? A review, with new modeling,” Clinical Oncology, vol. 19, no. 1, pp. 8–22, 2007. View at Publisher · View at Google Scholar · View at Scopus
  23. L. R. Dice, “Measures of the amount of ecologic association between species,” Ecology, vol. 26, no. 3, pp. 297–302, 1945. View at Publisher · View at Google Scholar
  24. R. Castillo, E. Castillo, R. Guerra et al., “A framework for evaluation of deformable image registration spatial accuracy using large landmark point sets,” Physics in Medicine and Biology, vol. 54, no. 7, pp. 1849–1870, 2009. View at Publisher · View at Google Scholar · View at Scopus
  25. G. C. Sharp, N. Kandasamy, H. Singh, and M. Folkert, “GPU-based streaming architectures for fast cone-beam CT image reconstruction and demons deformable registration,” Physics in Medicine and Biology, vol. 52, no. 19, pp. 5771–5783, 2007. View at Publisher · View at Google Scholar · View at Scopus
  26. S. Nithiananthan, K. K. Brock, M. J. Daly, H. Chan, J. C. Irish, and J. H. Siewerdsen, “Demons deformable registration for CBCT-guided procedures in the head and neck: convergence and accuracy,” Medical Physics, vol. 36, no. 10, pp. 4755–4764, 2009. View at Publisher · View at Google Scholar · View at Scopus
  27. S. M. Bentzen and V. Gregoire, “Molecular imaging-based dose painting: a novel paradigm for radiation therapy prescription,” Seminars in Radiation Oncology, vol. 21, no. 2, pp. 101–110, 2011. View at Publisher · View at Google Scholar · View at Scopus
  28. F. Z. Yetkin and D. Mendelsohn, “Hypoxia imaging in brain tumors,” Neuroimaging Clinics of North America, vol. 12, no. 4, pp. 537–552, 2002. View at Publisher · View at Google Scholar · View at Scopus