Free-form image registration regularized by a statistical shape model: Application to organ segmentation in cervical MR

Computer Vision and Image Understanding

Volumn 117, Issue 9, 2013, Pages 1119-1127

  Berendsen, Floris F ^a   Van Der Heide, Uulke A ^b   Langerak, Thomas R ^a   Kotte, Alexis N T J ^b   Pluim, Josien P W ^a  

^a UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

^b UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

Author keywords

Abdomen; Inter subject; Registration; Regularization; Shape model

Indexed keywords

DEFORMATION; GEOMETRY; MAGNETIC RESONANCE IMAGING; PATIENT TREATMENT; RADIOTHERAPY;

ABDOMEN; INTER-SUBJECT; REGISTRATION; REGULARIZATION; SHAPE MODEL;

IMAGE SEGMENTATION;

EID: 84885370097     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2012.12.006     Document Type: Article

References (19)

1. W.R. Crum, T. Hartkens, D.L.G. Hill, Non-rigid image registration: theory and practice, Br. J. Radiol. 77 (2004) 140-153.
2. K. Brock, M. Sharpe, L. Dawson, S. Kim, D.A. Jaffray, Accuracy of finite element model-based multi-organ deformable image registration, Med. Phys. 32 (6) (2005) 1647-1659. (Pubitemid 40880559)
3. X. Pennec, R. Stefanescu, V. Arsigny, P. Fillard, N. Ayache, Riemannian elasticity: a statistical regularization framework for non-linear registration, in: J. Duncan, G. Gerig (Eds.), Medical Image Computing and Computer- Assisted Intervention MICCAI 2005, Lecture Notes in Computer Science, vol. 3750, Springer, Berlin, Heidelberg, 2005, pp. 943-950 (Chapter 116). (Pubitemid 43828455)
4. D. Rueckert, A.F. Frangi, J.A. Schnabel, Automatic construction of 3D statistical deformation models using non-rigid registration, IEEE Trans. Med. Imag. 22 (2003) 77-84.
5. D. Loeckx, F. Maes, D. Vandermeulen, P. Suetens, Non-rigid image registration using a statistical spline deformation model, in: C. Taylor, J. Noble (Eds.), Information Processing in Medical Imaging, Lecture Notes in Computer Science, vol. 2732, Springer, Berlin/Heidelberg, 2003, pp. 463-474.
6. Z. Xue, D. Shen, C. Davatzikos, Statistical representation of high-dimensional deformation fields with application to statistically constrained 3D warping, Med. Image Anal. (2006) 740-751. (Pubitemid 44283803)
7. T. Albrecht, M. Luthi, T. Vetter, A statistical deformation prior for non-rigid image and shape registration, in: IEEE Conference on CVPR, 2008, pp. 1-8.
8. T. Heimann, H.-P. Meinzer, Statistical shape models for 3D medical image segmentation: a review, Med. Image Anal. 13 (4) (2009) 543-563.
9. T. Heimann, S. Münzing, H.-P. Meinzer, I. Wolf, A shape-guided deformable model with evolutionary algorithm initialization for 3D soft tissue segmentation, in: Proc. IPMI, LNCS, vol. 4584, Springer, 2007, pp. 1-12.
10. L. Bondar, M.S. Hoogeman, E.M. Vasquez Osorio, B.J. Heijmen, A symmetric nonrigid registration method to handle large organ deformations in cervical cancer patients, Med. Phys. 37 (2010) 3760-3772.
11. M. Staring, U.A. van der Heide, S. Klein, M.A. Viergever, J.P.W. Pluim, Registration of cervical MRI using multifeature mutual information, IEEE Trans. Med. Imag. 28 (2009) 1412-1421.
12. C.J. Taylor, D.H. Cooper, J. Graham, Training models of shape from sets of examples, in: Proc. British Machine Vision Conference, 1992, pp. 9-18.
13. A.F. Frangi, D. Rueckert, J.A. Schnabel, W.J. Niessen, Automatic 3D ASM Construction via Atlas-Based Landmarking and Volumetric Elastic Registration, in: Proceedings of the 17th International Conference on Information Processing in Medical Imaging, IPMI '01, Springer-Verlag, London, UK, 2001, pp. 78-91. (Pubitemid 33293261)
14. D. Mattes, D.R. Haynor, H. Vesselle, T.K. Lewellen, W. Eubank, PET-CT image registration in the chest using free-form deformations, IEEE Trans. Med. Imag. 22 (1) (2003) 120-128.
15. R.W.K. So, A.C.S. Chung, Multi-modal non-rigid image registration based on similarity and dissimilarity with the prior joint intensity distributions, in: Proceedings of the 2010 IEEE International Conference on Biomedical Imaging: From Nano to Macro, ISBI'10, IEEE Press, Piscataway, NJ, USA, 2010, pp. 368- 371. ISBN 978-1-4244-4125-9.
16. S. Kabus, T. Netsch, B. Fischer, J. Modersitzki, in: J.M. Fitzpatrick, M. Sonka (Eds.), B-Spline Registration of 3D Images with Levenberg-Marquardt Optimization, Proc. SPIE 5370, Medical Imaging 2004: Image Processing, 304. http://dx.doi.org/10.1117/12.533976.
17. S. Klein, M. Staring, K. Murphy, M.A. Viergever, J.P.W. Pluim, Elastix: a toolbox for intensity-based medical image registration, IEEE Trans. Med. Imag. 29 (2010) 196-205.
18. S. Klein, J.P.W. Pluim, M. Staring, M.A. Viergever, Adaptive stochastic gradient descent optimisation for image registration, Int. J. Comput. Vis. 81 (3) (2009) 227-239.
19. A. Alyassin, J. Lancaster, J. Downs III, P. Fox, Evaluation of new algorithms for the interactive measurement of surface area and volume, Med. Phys. 21 (1994) 741.