The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Geometry of the Newton Method on Non-Compact Lie Groups
Journal of Global Optimization
Understanding the "Demon's Algorithm": 3D Non-rigid Registration by Gradient Descent
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Deformable Modeling for Characterizing Biomedical Shape Changes
DGCI '00 Proceedings of the 9th International Conference on Discrete Geometry for Computer Imagery
Point-Based Elastic Registration of Medical Image Data Using Approximating Thin-Plate Splines
VBC '96 Proceedings of the 4th International Conference on Visualization in Biomedical Computing
Determining Optical Flow
The Scaling and Squaring Method for the Matrix Exponential Revisited
SIAM Journal on Matrix Analysis and Applications
Image Registration with Guaranteed Displacement Regularity
International Journal of Computer Vision
Influence of Organ Motion and Contrast Enhancement on Image Registration
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
3D deformable registration for monitoring radiotherapy treatment in prostate cancer
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Non-parametric diffeomorphic image registration with the demons algorithm
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Transformation model and constraints cause bias in statistics on deformation fields
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
A log-euclidean framework for statistics on diffeomorphisms
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Non-rigid registration using morphons
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Deformable templates using large deformation kinematics
IEEE Transactions on Image Processing
Model-based transfer functions for efficient visualization of medical image volumes
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Non-rigid diffeomorphic image registration of medical images using polynomial expansion
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
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Nonrigid image registration is widely used to estimate tissue deformations in highly deformable anatomies. Among the existing methods, nonparametric registration algorithms such as optical flow, or Demons, usually have the advantage of being fast and easy to use. Recently, a diffeomorphic version of the Demons algorithm was proposed. This provides the advantage of producing invertible displacement fields, which is a necessary condition for these to be physical. However, such methods are based on the matching of intensities and are not suitable for registering images with different contrast enhancement. In such cases, a registration method based on the local phase like the Morphons has to be used. In this paper, a diffeomorphic version of the Morphons registration method is proposed and compared to conventional Morphons, Demons, and diffeomorphic Demons. The method is validated in the context of radiotherapy for lung cancer patients on several 4D respiratory-correlated CT scans of the thorax with and without variable contrast enhancement.