Non-rigid Image Registration with Equally Weighted Assimilated Surface Constraint
暂无分享,去创建一个
Cheng Zhang | Gary E. Christensen | Martin J. Murphy | Jeffrey F. Williamson | Elisabeth Weiss | G. Christensen | M. Murphy | J. Williamson | E. Weiss | Cheng Zhang
[1] Peter Craven,et al. Smoothing noisy data with spline functions , 1978 .
[2] Chao Lu,et al. An integrated approach to segmentation and nonrigid registration for application in image-guided pelvic radiotherapy , 2011, Medical Image Anal..
[3] Jeffrey Williamson,et al. Development of a population-based model of surface segmentation uncertainties for uncertainty-weighted deformable image registrations. , 2010, Medical physics.
[4] Daniel Rueckert,et al. Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.
[5] G. Wahba. Smoothing noisy data with spline functions , 1975 .
[6] Christopher J. Taylor,et al. Statistical models of shape - optimisation and evaluation , 2008 .
[7] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..
[8] Jay B. West,et al. Predicting error in rigid-body point-based registration , 1998, IEEE Transactions on Medical Imaging.
[9] Dimitris N. Metaxas,et al. A 3D global-to-local deformable mesh model based registration and anatomy-constrained segmentation method for image guided prostate radiotherapy. , 2010, Medical physics.
[10] G. Wahba. Spline models for observational data , 1990 .
[11] Michael B Sharpe,et al. Image-guided radiotherapy: rationale, benefits, and limitations. , 2006, The Lancet. Oncology.
[12] Zhe Chen,et al. Constrained non-rigid registration for use in image-guided adaptive radiotherapy , 2009, Medical Image Anal..
[13] M W Vannier,et al. Image-based dose planning of intracavitary brachytherapy: registration of serial-imaging studies using deformable anatomic templates. , 2001, International journal of radiation oncology, biology, physics.
[14] Yuedong Wang,et al. Smoothing Splines: Methods and Applications , 2011 .
[15] M van Herk,et al. A general methodology for three-dimensional analysis of variation in target volume delineation. , 1999, Medical physics.
[16] Paul Keall,et al. Evaluation of 4-dimensional computed tomography to 4-dimensional cone-beam computed tomography deformable image registration for lung cancer adaptive radiation therapy. , 2013, International journal of radiation oncology, biology, physics.
[17] Eugenia Kalnay,et al. Atmospheric Modeling, Data Assimilation and Predictability , 2002 .
[18] Cheng Zhang,et al. SUPIR: Surface Uncertainty-Penalized, Non-rigid Image Registration for Pelvic CT Imaging , 2012, WBIR.
[19] William M. Wells,et al. Bayesian characterization of uncertainty in intra-subject non-rigid registration , 2013, Medical Image Anal..
[20] Bernd Fischer,et al. Biomedical Image Registration, 4th International Workshop, WBIR 2010, Lübeck, Germany, July 11-13, 2010. Proceedings , 2010, Workshop on Biomedical Image Registration.