A stochastic approach to estimate the uncertaintyinvolved in B-spline image registration

IEEE Transactions on Medical Imaging

Volumn 28, Issue 11, 2009, Pages 1708-1716

  Hub, M ^a   Kessler, M L ^b   Karger, C P ^a  

^a GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Elastic image registration; Local uncertainty

Indexed keywords

B-SPLINE; DISPLACEMENT VECTOR FIELDS; DOSE ACCUMULATION; ELASTIC IMAGE REGISTRATION; LOCAL IMAGE REGISTRATION; LOCAL UNCERTAINTY; MUTUAL INFORMATIONS; REGISTRATION ERROR; SIMILARITY MEASURE; STATISTICAL DEPENDENCE; STOCHASTIC APPROACH;

SENSITIVITY ANALYSIS; SPLINES; STOCHASTIC SYSTEMS; UNCERTAINTY ANALYSIS;

IMAGE REGISTRATION;

ALGORITHM; ARTICLE; COMPUTER SIMULATION; DIAGNOSTIC IMAGING; FOUR DIMENSIONAL COMPUTED TOMOGRAPHY; HUMAN; IMAGE PROCESSING; METHODOLOGY; NORMAL DISTRIBUTION; REPRODUCIBILITY; STATISTICS; THORAX RADIOGRAPHY;

ALGORITHMS; COMPUTER SIMULATION; DIAGNOSTIC IMAGING; FOUR-DIMENSIONAL COMPUTED TOMOGRAPHY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; NORMAL DISTRIBUTION; RADIOGRAPHY, THORACIC; REPRODUCIBILITY OF RESULTS; STOCHASTIC PROCESSES;

EID: 70350755617     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2009.2021063     Document Type: Article

References (31)

1. C. Lee, K. M. Langen, W. Lu, J. Haimerl, E. Schnarr, K. J. Ruchala, G. H. Olivera, S. L. Meeks, P. A. Kupelian, T. D. Shellenberger, and R. R. Manon, "Assessment of parotid gland dose changes during head and neck cancer radiotherapy using daily megavoltage computed tomography and deformable image registration," Int. J. Radiat. Oncol. Biol. Phys., vol.71, no.5, pp. 1563-1571, Aug. 2008.
2. M. L. Kessler, "Image registration and data fusion in radiation oncology," Br. J. Radiol., vol.79, pp. 99-108, 2006.
3. J. M. Balter and M. L. Kessler, "Imaging and alignment for image-guided radiation therapy," J. Clin. Oncol., vol.25, no.8, pp. 931-937, 2007.
4. J. P. Thirion, "Image matching as a diffusion process: An analogy with maxwell's demons," Med. Image Anal., vol.2, pp. 243-260, 1998.
5. 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., vol.50, pp. 2887-2905, 2005.
6. J. K. M. Unser, "Fast parametric elastic image registration," IEEE Trans. Image Process., vol.12, no.11, pp. 1427-1442, Nov. 2003.
7. M. Sohn, M. Birkner, Y. Chi, J. Wang, Y. Di, B. Berger, and M. Alber, "Model-independent, multimodality deformable image registration by local matching of anatomical features and minimization of elastic energy," Med. Phys., vol.35, no.3, pp. 866-878, Mar. 2008.
8. J. Wu and S. S. Samant, "Novel image registration quality evaluator (RQE) with an implementation for automated patient positioning in cranial radiation therapy," Med. Phys., vol.34, no.6, pp. 2099-2112, Jun. 2007.
9. J. Kybic, "Image registration accuracy evaluation without ground truth," in Proc. IEEE ISBI 2008, Paris, France, May 2008, pp. 792-795.
10. K. K. Brock, M. B. Sharp, L. A. Dawson, S. M. Kim, and D. A. Jaf-fray, "Accuracy of finite element model-based multi-organ deformable image registration," Med. Phys., vol.32, pp. 1647-1659, 2005.
11. M. M. Coselmon, J. M. Balter, D. L. McShan, and M. L. Kessler, "Mutual information based CT registration of the lung at exhale and inhale breathing states using thin-plate splines," Med. Phys., vol.31, pp. 2942-2948, 2004.
12. E. Rietzel andG.T. Y. Chen, "Deformable registration of 4D computed tomography data," Med. Phys., vol.33, pp. 4423-4430, 2006. (Pubitemid 44673132)
13. E. Heath, D. L. Collins, P. J. Keall, L. Dong, and J. Seuntjens, "Quantification of accuracy of the automated nonlinear image matching and anatomical labeling (ANIMAL) nonlinear registration algorithm for 4D CT images of lung," Med. Phys., vol.34, no.11, pp. 4409-4421, Nov. 2007.
14. K.Wijesooriya, E.Weiss,V.Dill, S. Joshi, and P. J. Keall, "Quantifying the accuracy of automated structure segmentation in 4D CT images using a deformable image registration algorithm," Med. Phys., vol.35, no.4, pp. 1251-1260, Apr. 2008.
15. J. A. Schnabel, C. Tanner, A. D. Castellano-Smith, A. Degenhard, M. O. Leach, D. R. Hose, and D. L. G. Hill, "Validation of nonrigid image registration using finite-element methods: Application to breast MR images," IEEE Trans. Med. Imag., vol.22, no.2, pp. 238-247, Feb. 2003.
16. P. Rogelj and S. Kovacic, "Symmetric image registration," Med Image Anal., vol.10, no.3, pp. 484-493, Jun. 2006.
17. J. D. Lawson, E. Schreibmann, A. B. Jani, and T. Fox, "Quantitative evaluation of a cone-beam computed tomography-planning computed tomography deformable image registration method for adaptive radiation therapy," J. Appl. Clin. Med. Phys., vol.8, no.4, pp. 2432-2432, Nov. 2007.
18. M. Serban, E. Heath, G. Stroian, D. L. Collins, and J. Seuntjens, "A de-formable phantom for 4D radiotherapy verification: design and image registration evaluation," Med. Phys., vol.35, no.3, pp. 1094-1102, Mar. 2008.
19. R. Kashani, J. Balter, M. Kessler, M. Hub, L. Dong, L. Zhang, L. Xing, Y. Xie, D. Hawkes, J. Schnabel, J. McClelland, and S. Joshi, "Objective assessment of deformable image registration in radiotherapy-a multi-institution study," presented at the 49th AAPM Annual Meeting, Minneapolis, MN, Jul. 2007.
20. Zhong, T. Peters, and J. V. Siebers, "FEM-Based evaluation of de-formable image registration for radiation therapy," Phys. Med. Biol., vol.52, pp. 4721-4738, 2007.
21. H. Zhong, E. Weiss, and J. V. S. Siebers, "Assessment of dose reconstruction errors in image-guided radiation therapy," Phys. Med. Biol., vol.53, pp. 719-736, 2008.
22. D. Ruan, J. A. Fessler, M. Roberson, J. M. Balter, and M. Kessler, "Nonrigid registration with regularization to account for local tissue rigidity," Proc. SPIE, Feb. 2006.
23. J. A. Schnabel, D. Rueckert, M. Quist, J. M. Blackall, A. D. Castellano-Smith, T. Hartkens, G. P. Penney, W. A. Hall, H. Liu, C. L. Truwit, F. A. Gerritsen, D. L. G. Hill, and D. J. Hawkes, "A generic framework for non-rigid registration based on non-uniform multi-level free-form deformations," in Proc. 4th Int. Conf. Med. Image Comput. Computer-Assisted Intervent., Oct. 2001, pp. 573-581.
24. G. K. Rohde, A. Aldroubi, and B. M. Dawant, "The adaptive bases algorithm for intensity-based nonrigid image registration," IEEE Trans. Med. Imag., vol.22, no.11, pp. 1470-1479, Nov. 2003.
25. I. J. Schoenberg, "Cardinal interpolation and spline functions," J. Ap-proximat. Theory, vol.2, pp. 167-206, 1969.
26. M. Unser, A. Aldroubi, and M. Eden, "B-Spline signal processing: Part I-Theory," IEEE Trans. Signal Process., vol.41, no.2, pp. 821-833, Feb. 1993.
27. M. Unser, A. Aldroubi, and M. Eden, "B-Spline signal processing: Part II-Efficient design and applications," IEEE Trans. Signal Process., vol.41, no.2, pp. 834-848, Feb. 1993.
28. A.Pevsner, B. Davis, S. Joshi, A. Hertanto, J. Mechalakos, E. Yorke, K. Rosenzweig,S. Nehmeh, Y. E.Erdi, J. L. Humm,S. Larson, C. C. Ling, and G. S. Mageras, "Evaluation of an automated deformable image matching method for quantifying lung motion in respiratory-correlated CT images," Med. Phys., vol.33, no.2, pp. 369-376, Feb. 2006.
29. M. Rosu, J. M. Balter, I. J. Chetty, M. L. Kessler, D. L. McShan, P. Balter, and R. K. Ten Haken, "How extensive of a 4D dataset is needed to estimate cumulative dose distribution plan evaluation metrics in con-formal lung therapy," Med. Phys., vol.34, no.1, pp. 233-245, Jan. 2007.
30. J. P. Pluim, J. B. Maintz, and M. A. Viergever, "F-information measures in medical image registration," IEEE Trans Med. Imag., vol.23, no.12, pp. 1508-1516, Dec. 2004.
31. C. E. Shannon, "A mathematical theory of communication," Bell Syst. Te c h . J ., vol.27, pp. 379-423, Oct. 1948.