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References > References - Pg. 770

770 CHAPTER 47 Deformable Volumetric Registration Using B-Splines [2] [3] [4] [5] [6] [7] [8] [9] F. Bookstein, D. Green, A feature space for derivatives of deformations, in: H.H. Barret, A.T. Gmitro (Eds.), Information Processing in Medical Imaging, Lecture Notes in Computer Science, vol. 687, Springer, Berlin, 1993, pp. 1­16. G.E. Christensen, R.D. Rabbitt, M.I. Miller, Deformable templates using large deformation kinematics, IEEE Trans. Image Proc. 5 (10) (1996) 1435­1447. G. Rohde, A. Aldroubi, B. Dawant, The adaptive bases algorithm for intensity based nonrigid image registration, IEEE Trans. Med. Imaging 22 (2003) 1470­1479. D. Rueckert, L.I. Sonoda, C. Hayes, D.L. Hill, M.O. Leach, D.J. Hawkes, Nonrigid registration using free- form deformations: application to breast MR images, IEEE Trans. Med. Imaging 18 (8) (1999) 712­721. D. Ruijters, B.M. ter Haar Romeny, P. Suetens, Efficient GPU- accelerated elastic image registration, in: Proceedings of Sixth IASTED International Conference on Biomedical Engineering, 13­15 February 2008, Innsbruck, Austria, 2008, pp. 419­424. ¨ ¸ S.S. Samant, J. Xia, P. Muyan- Ozc elik, J.D. Owens, High performance computing for deformable image registration: Towards a new paradigm in adaptive radiotherapy, Med. Phys. 35 (8) (2008) 3546­3553. G. Sharp, N. Kandasamy, H. Singh, M. Folkert, GPU-based streaming architectures for fast cone-beam CT image reconstruction and demons deformable registration, Phys. Med. Biol. 52 (19) (2007) 5771­5783. J.P. Thirion, Image matching as a diffusion process: an analogy with Maxwell's demons, Med. Image Anal. 2 (3) (1998) 243­260.