Higher Order Kernels and Locally Affine LDDMM Registration
作者： Sune Darkner , Mads Nielsen , Stefan Sommer , Xavier Pennec
DOI:
关键词: Mathematics 、 Applied mathematics 、 Affine transformation 、 Order (business)
摘要:
arxiv.org参考文章(29)
Sune Darkner, Jon Sporring, Generalized partial volume: an inferior density estimator to Parzen windows for normalized mutual information information processing in medical imaging. ,vol. 22, pp. 436- 447 ,(2011) , 10.1007/978-3-642-22092-0_36
Christof Seiler, Xavier Pennec, Mauricio Reyes, Geometry-Aware Multiscale Image Registration via OBBTree-Based Polyaffine Log-Demons Lecture Notes in Computer Science. ,vol. 14, pp. 631- 638 ,(2011) , 10.1007/978-3-642-23629-7_77
Sandy Durrleman, Marcel Prastawa, Guido Gerig, Sarang Joshi, Optimal data-driven sparse parameterization of diffeomorphisms for population analysis information processing in medical imaging. ,vol. 22, pp. 123- 134 ,(2011) , 10.1007/978-3-642-22092-0_11
X. Pennec, R. Stefanescu, V. Arsigny, P. Fillard, N. Ayache, Riemannian Elasticity: A Statistical Regularization Framework for Non-linear Registration Lecture Notes in Computer Science. ,vol. 8, pp. 943- 950 ,(2005) , 10.1007/11566489_116
Colin J. Cotter, Darryl D. Holm, Singular solutions, momentum maps and computational anatomy 1st MICCAI Workshop on Mathematical Foundations of Computational Anatomy: Geometrical, Statistical and Registration Methods for Modeling Biological Shape Variability. pp. 18- 28 ,(2006)
Alexis Roche, Grégoire Malandain, Xavier Pennec, Nicholas Ayache, The Correlation Ratio as a New Similarity Measure for Multimodal Image Registration medical image computing and computer assisted intervention. pp. 1115- 1124 ,(1998) , 10.1007/BFB0056301
Stefan Sommer, Mads Nielsen, François Lauze, Xavier Pennec, A multi-scale kernel bundle for LDDMM: towards sparse deformation description across space and scales information processing in medical imaging. ,vol. 6801, pp. 624- 635 ,(2011) , 10.1007/978-3-642-22092-0_51
Stefan Sommer, Mads Nielsen, Xavier Pennec, Sparsity and scale: Compact representations of deformation for diffeomorphic registration 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis. pp. 217- 224 ,(2012) , 10.1109/MMBIA.2012.6164753
Ding-Xuan Zhou, Derivative reproducing properties for kernel methods in learning theory Journal of Computational and Applied Mathematics. ,vol. 220, pp. 456- 463 ,(2008) , 10.1016/J.CAM.2007.08.023
William M. Wells, Paul Viola, Hideki Atsumi, Shin Nakajima, Ron Kikinis, Multi-modal volume registration by maximization of mutual information Medical Image Analysis. ,vol. 1, pp. 35- 51 ,(1996) , 10.1016/S1361-8415(01)80004-9