Westberg J, Jensen HR, Bertelsen A, Brink C. Reduction of cone-beam CT scan time without compromising the accuracy of the image registration in IGRT. Acta Oncologica, 2010, 49(2): 225-229
[2]
Gottlieb K L, Hansen C R, Hansen O, Westberg J, Brink C. Investigation of respiration induced intra- and inter-fractional tumour motion using a standard cone beam CT. Acta Oncologica, 2010, 49(7): 1192-1198
[3]
Cheng B S, Yang Y, Li F, Yue N J, Ding C X, Komanduri K, Huq S, Heron D E. Performance characteristics and auality assurance aspects of kilovoltage cone-beam CT on medical linear accelerator. Medical Dosimetry, 2007, 32(2): 80-85
[4]
Paquin D, Levy D, Xing L. Multiscale registration of planning CT and daily cone beam CT images for adaptive radiation therapy. Medical Physics, 2009, 36(1): 4-11
[5]
Brock K K, Dawson L A, Sharpe M B, Moseley D J, Jaffray D A. Feasibility of a novel deformable image registration technique to facilitate classification, targeting, and monitoring of tumor and normal tissue. International Journal of Radiation Oncology, Biology, Physics, 2006, 64(1): 1245-1254
[6]
Nithiananthan S, Brock K K, Daly M J, Chan H, Irish J C, Siewerdsen J H. Demons deformable registration for CBCT-guided procedures in the head and neck: convergence and accuracy. Medical Physics, 2009, 36(10): 4755-4764
[7]
Ostergaard N K, De Senneville B D, Elstrom U V, Tanderup K, Sorensen T S. Acceleration and validation of optical flow based deformable registration for image-guided radiotherapy. Acta Oncologica, 2008, 47(7): 1286-1293
[8]
Bajcsy R, Kovačič S. Multiresolution elastic matching. Computer Vision, Graphics, and Image Processing, 1989, 46(1): 1-21
[9]
Loeckx D, Slagmolen P, Maes F, Vandermeulen D, Suetens P. Nonrigid image registration using conditional mutual information. IEEE Transactions on Medical Imaging, 2010, 29(1): 19-29
[10]
Rudin L I, Osher S, Fatemi E. Nonlinear total variation based noise removal algorithms. Physica D: Nonlinear Phenomena, 1992, 60(1-4): 259-268
[11]
Chan T F, Esedoglu S. Aspects of total variation regularized L-1-function approximation. SIAM Journal on Applied Mathematics, 2005, 65(1): 1817-1837
[12]
Chen T, Huang T S, Yin W T, Zhou X S. A new coarse-to-fine framework for 3d brain MR image registration. In: Proceedings of the 1st International Conference on Computer Vision for Biomedical Image Applications. Berlin, Heidelberg: Springer-Verlag, 2005. 114-124
[13]
Rueckert D, Sonoda L I, Hayes C, Hill D L G, Leach M O, Hawkes D J. Nonrigid registration using free-form deformations: application to breast MR images. IEEE Transactions on Medical Imaging, 1999, 18(8): 712-721
[14]
Holden M. A review of geometric transformations for nonrigid body registration. IEEE Transactions on Medical Imaging, 2008, 27(1): 111-128
[15]
Goldfarb D, Yin W T. Parametric maximum flow algorithms for fast total variation minimization. SIAM Journal on Scientific Computing, 2009, 31(1): 3712-3743
