Site-specific deformable imaging registration algorithm selection using patient-based simulated deformations

Medical Physics

Volumn 40, Issue 4, 2013, Pages

  Nie, Ke ^a   Chuang, Cynthia ^a   Kirby, Neil ^a   Braunstein, Steve ^a   Pouliot, Jean ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

deformable image registration verification; patient based simulated deformations

Indexed keywords

COMPUTERIZED TOMOGRAPHY; IMAGE REGISTRATION; MEDICAL COMPUTING; PHANTOMS; QUALITY ASSURANCE; RADIOTHERAPY; UROLOGY;

ADAPTIVE RADIOTHERAPY; DEFORMABLE IMAGE REGISTRATION; DEFORMABLE REGISTRATION; IMAGE REGISTRATION ALGORITHM; IMAGE REGISTRATION TECHNIQUES; RADIATION TREATMENT PLANNING; REGISTRATION ALGORITHMS; SOFT TISSUE DEFORMATION;

DEFORMATION;

ARTICLE; BLADDER FILLING; BODY MOVEMENT; CANCER PATIENT; CANCER RADIOTHERAPY; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER SIMULATION; HEAD AND NECK CANCER; IMAGE ANALYSIS; IMAGE GUIDED RADIOTHERAPY; PHANTOM; PRIORITY JOURNAL; PROSTATE CANCER; SPINE CANCER; TREATMENT PLANNING; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE QUALITY; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; COMPUTER SIMULATION; HUMANS; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOTHERAPY, IMAGE-GUIDED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84876188881     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.4793723     Document Type: Article

References (37)

1. L. A. Olteanu, I. Madani, W. De Neve, T. Vercauteren, and W. I. De Gersem, Evaluation of deformable image co-registration in adaptive dose painting by numbers for head and neck cancer., Int. J. Radiat. Oncol., Biol., Phys. 83, 696-703 (2012). 10.1016/j.ijrobp.2011.07.037
2. G. Zhang, T. C. Huang, V. Feygelman, C. Stevens, and K. Forster, Generation of composite dose and biological effective dose (BED) over multiple treatment modalities and multistage planning using deformable image registration., Med. Dosim. 35, 143-150 (2010). 10.1016/j.meddos.2009.05.001
3. M. Velec, J. L. Moseley, C. L. Eccles, T. Craig, M. B. Sharpe, L. A. Dawson, and K. K. Brock, Effect of breathing motion on radiotherapy dose accumulation in the abdomen using deformable registration., Int. J. Radiat. Oncol., Biol., Phys. 80, 265-272 (2011). 10.1016/j.ijrobp.2010.05.023
4. Y. Hasan, L. Kim, J. Wloch, Y. Chi, J. Liang, A. Martinez, D. Yan, and F. Vicini, Comparison of planned versus actual dose delivered for external beam accelerated partial breast irradiation using cone-beam CT and deformable registration., Int. J. Radiat. Oncol., Biol., Phys. 80, 1473-1476 (2011). 10.1016/j.ijrobp.2010.04.013
5. 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., Med. Phys. 36, 4755-4764 (2009). 10.1118/1.3223631
6. J. W. Suh and C. L. Wyatt, Deformable registration of supine and prone colons for computed tomographic colonography., J. Comput. Assist. Tomogr. 33, 902-911 (2009). 10.1097/RCT.0b013e3181a7e2c1
7. K. O. Noe, B. D. De Senneville, U. V. Elstrom, K. Tanderup, and T. S. Sorensen, Acceleration and validation of optical flow based deformable registration for image-guided radiotherapy., Acta Oncol. 47, 1286-1293 (2008). 10.1080/02841860802258760
8. T. Vercauteren, X. Pennec, A. Perchant, and N. Ayache, Diffeomorphic demons: efficient non-parametric image registration., Neuroimage 245, S61-S72 (2009). 10.1016/j.neuroimage.2008.10.040
9. D. Yan, Developing quality assurance processes for image-guided adaptive radiation therapy., Int. J. Radiat. Oncol., Biol., Phys. 71, S28-S32 (2008). 10.1016/j.ijrobp.2007.08.082
10. J. Van Dyk, Quality assurance of radiation therapy planning systems: current status and remaining challenges., Int. J. Radiat. Oncol., Biol., Phys. 71, S23-S7 (2008). 10.1016/j.ijrobp.2007.04.095
11. E. Rietzel and G. T. Chen, Deformable registration of 4D computed tomography data., Med. Phys. 33, 4423-4430 (2006). 10.1118/1.2361077
12. K. K. Brock, M. B. Sharpe, L. A. Dawson, S. M. Kim, and D. A. Jaffray, Accuracy of finite element model-based multi-organ deformable image registration., Med. Phys. 32, 1647-1659 (2005). 10.1118/1.1915012
13. M. R. Kaus, K. K. Brock, V. Pekar, L. A. Dawson, A. M. Nichol, and D. A. Jaffray, Assessment of a model-based deformable image registration approach for radiation therapy planning., Int. J. Radiat. Oncol., Biol., Phys. 68, 572-580 (2007). 10.1016/j.ijrobp.2007.01.056
14. V. Boldea, G. C. Sharp, S. B Jiang, and D. Sarrut, 4D-CT lung motion estimation with deformable registration: Quantification of motion nonlinearity and hysteresis., Med. Phys. 35, 1008-1018 (2008). 10.1118/1.2839103
15. K. Brock, A. M. Nichol, C. Menard, J. L. Moseley, P. R. Warde, C. N. Catton, and D. A. Jaffray, Accuracy and sensitivity of finite element model-based deformable registration of the prostate., Med. Phys. 35, 4019-4025 (2008). 10.1118/1.2965263
16. J. C. Gee, Performance evaluation of medical image processing algorithms., SPIE, Image Processing 3979, 19-27 (2000). 10.1117/12.387682
17. T. M. Lehmann, From plastic to gold: A unified classification scheme for reference standards in medical image processing., SPIE 4684, 1819-1827 (2002). 10.1117/12.467156
18. R. Kashani, M. Hub, M. L. Kessler, and J. M. Balter, Technical note: A physical phantom for assessment of accuracy of deformable alignment algorithms., Med. Phys. 34, 2785-2788 (2007). 10.1118/1.2739812
19. J. Chang, T. S. Suh, and D. S. Lee, Development of a deformable lung phantom for the evaluation of deformable registration., J. Appl. Clin. Med. Phys. 11, 3081 (2010).
20. H. Zhong, J. Kim, and I. J. Chetty, Analysis of deformable image registration accuracy using computational modeling., Med. Phys. 37, 970-979 (2010). 10.1118/1.3302141
21. H. Zhong, T. Peters, and J. V. Siebers, FEM-based evaluation of deformable image registration for radiation therapy., Phys. Med. Biol. 52, 4721-4738 (2007). 10.1088/0031-9155/52/16/001
22. N. Kirby, C. Chuang, U. Ueda, and J. Pouliot, The need for application-based adaptation of deformable image registration., Med. Phys. 40, 011702 (10pp.) (2013). 10.1118/1.4769114
23. J. C. Roeske, J. D. Forman, C. F. Mesina, T. He, C. A. Pelizzari, E. Fontenla, S. Vijayakumar, and G. T. Chen, Evaluation of changes in the size and location of the prostate, seminal vesicles, bladder, and rectum during a course of external beam radiation therapy., Int. J. Radiat. Oncol., Biol., Phys. 33, 1321-1329 (1995). 10.1016/0360-3016(95)00225-1
24. P. Massoumzadeh, S. Don, C. F. Hildebolt, K. T. Bae, and B. R. Whiting, Validation of CT dose-reduction simulation., Med. Phys. 36, 174-189 (2009). 10.1118/1.3031114
25. J. Piper, SU-FF-I-68: Evaluation of an intensity-based free-form deformable registration algorithm., Med. Phys. 34, 2353 (2007). 10.1118/1.2760445
26. E. Schreibmann, T. Fox, and I. Crocker, Dosimetric effects of manual cone-beam CT (CBCT) matching for spinal radiosurgery: Our experience., J. Appl. Clin. Med. Phys. 12, 3467 (2011).
27. M. J. Murphy, Z. Wei, M. Fatyga, J. Williamson, M. Anscher, T. Wallace, and E. Weiss, How does CT noise affect 3D deformable image registration for image-guided radiotherapy planning., Med. Phys. 35, 1145-1153 (2008). 10.1118/1.2837292
28. H. Wang, L. Dong, J. O'Daniel, R. Mohan, A. S. Garden, K. K. Ang, D. A. Kuban, M. Bonnen, J. Y. Chang, and R. Cheung, Validation of an accelerated demons' algorithm for deformable image registration in radiation therapy., Phys. Med. Biol. 50, 2887-2905 (2005). 10.1088/0031-9155/50/12/011
29. R. Kashani, M. Hub, J. M. Balter, M. L. Kessler, L. Dong, L. Zhang, L. Xing, Y. Xie, D. Hawkes, J. A. Schnabel, J. McClelland, S. Joshi, Q. Chen, and W. Lu, Objective assessment of deformable image registration in radiotherapy: A multi-institution study., Med. Phys. 35, 5944-5953 (2008). 10.1118/1.3013563
30. P. Castadot, J. A. Lee, A. Parraga, X. Geets, B. Macq, and V. Gregoire, Comparison of 12 deformable registration strategies in adaptive radiation therapy for the treatment of head and neck tumors., Radiother. Oncol. 89, 1-12 (2008). 10.1016/j.radonc.2008.04.010
31. C. S. Moore, G. P. Liney, and A. W. Beavis, Quality assurance of registration of CT and MRI data sets for treatment planning of radiotherapy for head and neck cancers., J. Appl. Clin. Med. Phys. 5, 25-35 (2004). 10.1120/jacmp.26.147
32. W. C. Lavely, C. Scarfone, H. Cevikalp, R. Li, D. W. Byrne, A. J. Cmelak, B. Dawant, R. R. Price, D. E. Hallahan, and J. M. Fitzpatrick, Phantom validation of co-registration of PET and CT for image-guided radiotherapy., Med. Phys. 31, 1083-1092 (2004). 10.1118/1.1688041
33. N. Kirby, C. Chuang, and J. Pouliot, A two-dimensional deformable phantom for quantitatively verifying deformation algorithms., Med. Phys. 38, 4583-4586 (2011). 10.1118/1.3597881
34. J. Zhou, S. Zhang, S. Kim, S. Jabbour, S. Goyal, B. Haffty, D. Metaxas, and N. Yue, A Laplacian surface deformation and optimization based 3D registration algorithm for image guided prostate radiotherapy., Int. J. Med. Phys. Clin. Eng. Radiat. Oncol. 1, 40-49 (2012). 10.4236/ijmpcero.2012.12006
35. M. Sharpe, and K. K. Brock, Quality assurance of serial 3D image registration, fusion, and segmentation., Int. J. Radiat. Oncol., Biol., Phys. 71, S33-S37 (2008). 10.1016/j.ijrobp.2007.06.087
36. 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, 1849-1870 (2009). 10.1088/0031-9155/54/7/001
37. R. Varadhan, G. Karangelis, K. Krishnan, and S. Hui, A framework for deformable image registration validation in radiotherapy clinical applications., J. Appl. Clin. Med. Phys. 14, 192-213 (2013). 10.1120/jacmp.v14i1.4066