Comparison of 12 deformable registration strategies in adaptive radiation therapy for the treatment of head and neck tumors

Radiotherapy and Oncology

Volumn 89, Issue 1, 2008, Pages 1-12

  Castadot, Pierre ^a   Lee, John Aldo ^a   Parraga, Adriane ^b,c   Geets, Xavier ^a   Macq, Benoît ^c   Grégoire, Vincent ^a  

^a CLINIQUES UNIVERSITAIRES SAINT LUC   (Belgium)

^b FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

^c UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

Author keywords

Adaptive radiotherapy; Deformable registration algorithms; Head and neck cancer

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; CANCER RADIOTHERAPY; CLINICAL ARTICLE; COMPARATIVE STUDY; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; CORRELATION COEFFICIENT; HEAD AND NECK CANCER; HEAD AND NECK TUMOR; HUMAN; PRIORITY JOURNAL; RADIATION DOSE; REGISTRATION; VALIDATION PROCESS;

ALGORITHMS; HEAD AND NECK NEOPLASMS; HUMANS; OUTCOME AND PROCESS ASSESSMENT (HEALTH CARE); RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOTHERAPY; RADIOTHERAPY DOSAGE; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; STATISTICS, NONPARAMETRIC; TOMOGRAPHY, X-RAY COMPUTED;

EID: 53049093441     PISSN: 01678140     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.radonc.2008.04.010     Document Type: Article

References (36)

1. Chencharick J.D., and Mossman K.L. Nutritional consequences of the radiotherapy of head and neck cancer. Cancer 51 (1983) 811-815
2. Barker Jr. J.L., Garden A.S., Ang K.K., et al. Quantification of volumetric and geometric changes occurring during fractionated radiotherapy for head-and-neck cancer using an integrated CT/linear accelerator system. Int J Radiat Oncol Biol Phys 59 (2004) 960-970
3. Geets X., Daisne J.F., Tomsej M., et al. Impact of the type of imaging modality on target volumes delineation and dose distribution in pharyngo-laryngeal squamous cell carcinoma: comparison between pre- and per-treatment studies. Radiother Oncol 78 (2006) 291-297
4. Geets X., Tomsej M., Lee J.A., et al. Adaptive biological image-guided IMRT with anatomic and functional imaging in pharyngo-laryngeal tumors: impact on target volume delineation and dose distribution using helical tomotherapy. Radiother Oncol 85 (2007) 105-115
5. Modersitzki J. Numerical methods for image registration. 1st ed. (2004), Oxford University Press, New York
6. Maintz J.B., and Viergever M.A. A survey of medical image registration. Med Image Anal 2 (1998) 1-36
7. Xing L., Siebers J., and Keall P. Computational challenges for image-guided radiation therapy: framework and current research. Semin Radiat Oncol 17 (2007) 245-257
8. Lu W., Olivera G.H., Chen Q., Chen M.L., and Ruchala K.J. Automatic re-contouring in 4D radiotherapy. Phys Med Biol 51 (2006) 1077-1099
9. Keall P. 4-dimensional computed tomography imaging and treatment planning. Semin Radiat Oncol 14 (2004) 81-90
10. Langen K.M., Meeks S.L., Poole D.O., et al. The use of megavoltage CT (MVCT) images for dose recomputations. Phys Med Biol 50 (2005) 4259-4276
11. Rosu M., Balter J.M., Chetty I.J., et al. How extensive of a 4D dataset is needed to estimate cumulative dose distribution plan evaluation metrics in conformal lung therapy?. Med Phys 34 (2007) 233-245
12. Schaly B., Kempe J.A., Bauman G.S., Battista J.J., and Van Dyk J. Tracking the dose distribution in radiation therapy by accounting for variable anatomy. Phys Med Biol 49 (2004) 791-805
13. Yang Y., Schreibmann E., Li T., Wang C., and Xing L. Evaluation of on-board kV cone beam CT (CBCT)-based dose calculation. Phys Med Biol 52 (2007) 685-705
14. Orban de Xivry J., Janssens G., Bosmans G., et al. Tumour delineation and cumulative dose computation in radiotherapy based on deformable registration of respiratory correlated CT images of lung cancer patients. Radiother Oncol 85 (2007) 232-238
15. Gregoire V., Levendag P., Ang K.K., et al. CT-based delineation of lymph node levels and related CTVs in the node-negative neck: DAHANCA, EORTC, GORTEC, NCIC,RTOG consensus guidelines. Radiother Oncol 69 (2003) 227-236
16. Mrazek P., Weickert J., and Bruhn A. On robust estimation and smoothing with spatial and tonal kernels in geometric properties for incomplete data (2005), Springer Part 3: p. 335-52
17. Lee J.A., Geets X., Grégoire V., and Bol A. Edge-preserving filtering of images with low photon counts. IEEE Trans Pattern Anal Mach Intell 30 (2008) 1014-1027
18. Maes F., Collignon A., Vandermeulen D., Marchal G., and Suetens P. Multimodality image registration by maximization of mutual information. IEEE Trans Med Imaging 16 (1997) 187-198
19. Viola P., and Wells W.M. Alignment by maximization of mutual information. Int J Comput Vision 24 (1997) 137-154
20. Mohan R., Zhang X., Wang H., et al. Use of deformed intensity distributions for on-line modification of image-guided IMRT to account for interfractional anatomic changes. Int J Radiat Oncol Biol Phys 61 (2005) 1258-1266
21. Thirion J.P. Image matching as a diffusion process: an analogy with Maxwell's demons. Med Image Anal 2 (1998) 243-260
22. Wang H., Dong L., Lii M.F., et al. Implementation and validation of a three-dimensional deformable registration algorithm for targeted prostate cancer radiotherapy. Int J Radiat Oncol Biol Phys 61 (2005) 725-735
23. Wang H., Dong L., O'Daniel J., et al. Validation of an accelerated 'demons' algorithm for deformable image registration in radiation therapy. Phys Med Biol 50 (2005) 2887-2905
24. Bajcsy R., and Kovacic S. Multiresolution elastic matching. Comput Vis Graph Image Process 46 (1989) 1-21
25. Vemuri B.C., Ye J., Chen Y., and Leonard C.M. Image registration via level-set motion: applications to atlas-based segmentation. Med Image Anal 7 (2003) 1-20
26. Lu W., Chen M.L., Olivera G.H., Ruchala K.J., and Mackie T.R. Fast free-form deformable registration via calculus of variations. Phys Med Biol 49 (2004) 3067-3087
27. Dice L.R. Measures of the amount of ecologic association between species. Ecology 26 (1945) 297-302
28. Zhao C., Shi W., and Deng Y. A new Hausdorff distance for image matching. Pattern Recognit Lett 26 (2005) 581-586
29. Zhang T., Chi Y., Meldolesi E., and Yan D. Automatic delineation of on-line head-and-neck computed tomography images: toward on-line adaptive radiotherapy. Int J Radiat Oncol Biol Phys 68 (2007) 522-530
30. Chao K.S., Bhide S., Chen H., et al. Reduce in variation and improve efficiency of target volume delineation by a computer-assisted system using a deformable image registration approach. Int J Radiat Oncol Biol Phys 68 (2007) 1512-1521
31. Rietzel E., Chen G.T., Choi N.C., and Willet C.G. Four-dimensional image-based treatment planning: target volume segmentation and dose calculation in the presence of respiratory motion. Int J Radiat Oncol Biol Phys 61 (2005) 1535-1550
32. Coolens C., Evans P.M., Seco J., et al. The susceptibility of IMRT dose distributions to intrafraction organ motion: an investigation into smoothing filters derived from four dimensional computed tomography data. Med Phys 33 (2006) 2809-2818
33. Heath E., and Seuntjens J. A direct voxel tracking method for four-dimensional Monte Carlo dose calculations in deforming anatomy. Med Phys 33 (2006) 434-445
34. O'Daniel J.C., Garden A.S., Schwartz D.L., et al. Parotid gland dose in intensity-modulated radiotherapy for head and neck cancer: is what you plan what you get?. Int J Radiat Oncol Biol Phys 69 (2007) 1290-1296
35. Rietzel E., and Chen G.T. Deformable registration of 4D computed tomography data. Med Phys 33 (2006) 4423-4430
36. Rosu M., Chetty I.J., Balter J.M., et al. Dose reconstruction in deforming lung anatomy: dose grid size effects and clinical implications. Med Phys 32 (2005) 2487-2495