Distance transformations in digital images
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
Surface shape and curvature scales
Image and Vision Computing
Matching 3-D anatomical surfaces with non-rigid deformations using octree-splines
International Journal of Computer Vision
ICP Registration Using Invariant Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D Statistical Shape Models Using Direct Optimisation of Description Length
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Automatic 3D ASM Construction via Atlas-Based Landmarking and Volumetric Elastic Registration
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
A Statistical Shape Model for the Liver
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
Bee Brains, B-Splines and Computational Democracy: Generating an Average Shape Atlas
MMBIA '01 Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA'01)
A new point matching algorithm for non-rigid registration
Computer Vision and Image Understanding - Special issue on nonrigid image registration
Image Registration Using Hierarchical B-Splines
IEEE Transactions on Visualization and Computer Graphics
Fast parametric elastic image registration
IEEE Transactions on Image Processing
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Registration based on B-spline transformations has attracted much attention in medical image processing recently. Non-rigid registration provides the basis for many important techniques, such as statistical shape modeling. Validating the results, however, remains difficult – especially in intersubject registration. This work explores the ability of B-spline registration methods to capture intersubject shape deformations. We study the effect of different established and new shape representations, similarity measures and optimization strategies on the matching quality. To this end we conduct experiments on synthetic shapes representing deformations which typically may arise in intersubject registration, as well as on real patient data of the liver and pelvic bone. The experiments clearly reveal the influence of each component on the registration performance. The results may serve as a guideline for assessing intensity based registration.