Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution elastic matching
Computer Vision, Graphics, and Image Processing
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Curvature-based approach to point correspondence recovery in conformal nonrigid motion
CVGIP: Image Understanding
Auxiliary variables and two-step iterative algorithms in computer vision problems
Journal of Mathematical Imaging and Vision
Matching 3-D anatomical surfaces with non-rigid deformations using octree-splines
International Journal of Computer Vision
Spatial transformation and registration of brain images using elastically deformable models
Computer Vision and Image Understanding
Finite Element Method for Elliptic Problems
Finite Element Method for Elliptic Problems
Finite-Element Methods for Active Contour Models and Balloons for 2-D and 3-D Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-Rigid Motion Models for Tracking the Left Ventricular Wall
IPMI '91 Proceedings of the 12th International Conference on Information Processing in Medical Imaging
Two-Step Parameter-Free Elastic Image Registration with Prescribed Point Displacements
ICIAP '97 Proceedings of the 9th International Conference on Image Analysis and Processing-Volume I - Volume I
A New Approach to Fast Elastic Alignment with Applications to Human Brain
VBC '96 Proceedings of the 4th International Conference on Visualization in Biomedical Computing
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
Fast Fluid Registration of Medical Images
VBC '96 Proceedings of the 4th International Conference on Visualization in Biomedical Computing
Optimal registration of deformed images
Optimal registration of deformed images
Deformable templates using large deformation kinematics
IEEE Transactions on Image Processing
Medical Image Registration and Interpolation by Optical Flow with Maximal Rigidity
Journal of Mathematical Imaging and Vision
Image-based change detection of areal objects using differential snakes
Proceedings of the 13th annual ACM international workshop on Geographic information systems
Image Registration with Guaranteed Displacement Regularity
International Journal of Computer Vision
Generalized Rigid and Generalized Affine Image Registration and Interpolation by Geometric Multigrid
Journal of Mathematical Imaging and Vision
FLIRT with Rigidity--Image Registration with a Local Non-rigidity Penalty
International Journal of Computer Vision
A comparison between BEM and FEM for elastic registration of medical images
Image and Vision Computing
Geometry driven volumetric registration
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Nonlinear elasticity registration and sobolev gradients
WBIR'10 Proceedings of the 4th international conference on Biomedical image registration
Incorporating low-level constraints for the retrieval of personalised heart models from dynamic MRI
STACOM'10/CESC'10 Proceedings of the First international conference on Statistical atlases and computational models of the heart, and international conference on Cardiac electrophysiological simulation challenge
Journal of Scientific Computing
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A parameter-free approach for non-rigid imageregistration based on elasticity theory is presented. In contrast totraditional physically-based numerical registration methods, noforces have to be computed from image data to drive the elasticdeformation. Instead, displacements obtained with the help ofmapping boundary structures in the source and target image areincorporated as hard constraints into elastic image deformation. Asa consequence, our approach does not contain any parameters of thedeformation model such as elastic constants. The approach guaranteesthe exact correspondence of boundary structures in the imagesassuming that correct input data are available. The implementedincremental method allows to cope with large deformations. Thetheoretical background, the finite element discretization of theelastic model, and experimental results for 2D and 3D synthetic aswell as real medical images are presented.