Scattered Data Interpolation with Multilevel B-Splines
IEEE Transactions on Visualization and Computer Graphics
Assessment of Intraoperative Brain Deformation Using Interventional MR Imaging
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
A data distributed parallel algorithm for nonrigid image registration
Parallel Computing
Multi-classifier framework for atlas-based image segmentation
Pattern Recognition Letters
Image Registration of Sectioned Brains
International Journal of Computer Vision
CT and PET registration using deformations incorporating tumor-based constraints
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Registration using sparse free-form deformations
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
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A major problem with non-rigid image registration techniques in many applications is their tendency to reduce the volume of contrast-enhancing structures [10]. Contrast enhancement is an intensity inconsistency, which is precisely what intensity-based registration algorithms are designed to minimize. Therefore, contrast-enhanced structures typically shrink substantially during registration, which affects the use of the resulting transformation for volumetric analysis, image subtraction, and multispectral classification. A common approach to address this problem is to constrain the deformation. In this paper we present a novel incompressibility constraint approach that is based on the Jacobian determinant of the deformation and can be computed rapidly. We apply our intensity-based non-rigid registration algorithm with this incompressibility constraint to two clinical applications (MR mammography, CT-DSA) and demonstrate that it produces high-quality deformations (as judged by visual assessment) while preserving the volume of contrast-enhanced structures.