Deformable MRI-CT registration for breast cancer radiation treatment planning using a sequentially applied semi-physical model regularization method

[1]  Luiza Bondar,et al.  A symmetric nonrigid registration method to handle large organ deformations in cervical cancer patients. , 2010, Medical physics.

[2]  Martin J Murphy,et al.  Assessing the intrinsic precision of 3D/3D rigid image registration results for patient setup in the absence of a ground truth. , 2010, Medical physics.

[3]  David J. Hawkes,et al.  Deformations Incorporating Rigid Structures , 1996, Comput. Vis. Image Underst..

[4]  Josien P. W. Pluim,et al.  Evaluation of Optimization Methods for Nonrigid Medical Image Registration Using Mutual Information and B-Splines , 2007, IEEE Transactions on Image Processing.

[5]  Josien P. W. Pluim,et al.  Nonrigid registration with adaptive content-based filtering of the deformation field , 2005, SPIE Medical Imaging.

[6]  Michael Unser,et al.  A pyramid approach to subpixel registration based on intensity , 1998, IEEE Trans. Image Process..

[7]  N. Schwenzer,et al.  A strategy for multimodal deformable image registration to integrate PET/MR into radiotherapy treatment planning , 2013, Acta oncologica.

[8]  Jeffrey A. Fessler,et al.  Nonrigid registration using regularization that accomodates local tissue rigidity , 2006, SPIE Medical Imaging.

[9]  David J. Hawkes,et al.  Validation of nonrigid image registration using finite-element methods: application to breast MR images , 2003, IEEE Transactions on Medical Imaging.

[10]  Daniel Rueckert,et al.  Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.

[11]  Ghassan Hamarneh,et al.  N-SIFT: N-DIMENSIONAL SCALE INVARIANT FEATURE TRANSFORM FOR MATCHING MEDICAL IMAGES , 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[12]  G. J. Klein,et al.  Deformable registration of multi-modal data including rigid structures , 2002 .

[13]  Desire Sidibé,et al.  A spline-based non-linear diffeomorphism for multimodal prostate registration , 2012, Medical Image Anal..

[14]  Jinsoo Uh,et al.  MRI-based treatment planning with pseudo CT generated through atlas registration. , 2014, Medical physics.

[15]  S Wognum,et al.  Control over structure-specific flexibility improves anatomical accuracy for point-based deformable registration in bladder cancer radiotherapy. , 2013, Medical physics.

[16]  Jie Tian,et al.  Rapid Multi-modality preRegistration based on SIFT descriptor , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[17]  Tufve Nyholm,et al.  Treatment planning using MRI data: an analysis of the dose calculation accuracy for different treatment regions , 2010, Radiation oncology.

[18]  Olivier Salvado,et al.  An atlas-based electron density mapping method for magnetic resonance imaging (MRI)-alone treatment planning and adaptive MRI-based prostate radiation therapy. , 2012, International journal of radiation oncology, biology, physics.

[19]  B. Gino Fallone,et al.  Assessment of a commercially available automatic deformable registration system , 2010, Journal of applied clinical medical physics.

[20]  J. Edmund,et al.  A criterion for the reliable use of MRI-only radiotherapy , 2014, Radiation oncology.

[21]  L. Xing,et al.  Tissue feature-based and segmented deformable image registration for improved modeling of shear movement of lungs. , 2009, International journal of radiation oncology, biology, physics.

[22]  Jeffrey A. Fessler,et al.  A Simple Regularizer for B-spline Nonrigid Image Registration That Encourages Local Invertibility , 2009, IEEE Journal of Selected Topics in Signal Processing.