Scattered Data Interpolation with Multilevel B-Splines
IEEE Transactions on Visualization and Computer Graphics
Deformations Incorporating Rigid Structures
MMBIA '96 Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '96)
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
WBIR'10 Proceedings of the 4th international conference on Biomedical image registration
Abdominal images non-rigid registration using local-affine diffeomorphic demons
MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
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Non-rigid image registration techniques are commonly used to estimate respiratory motion. Due to the computational complexity of freeform techniques based on control points, hierarchical techniques have been proposed which successively sub-divide the non-rigid registration problem into multiple locally rigid or affine components. A potential drawback of these techniques is that the image content is not considered during the subdivision process. In this paper, we propose a novel adaptive subdivision technique that attempts to automatically divide the image into areas of similar motion, resulting in more accurate local registrations. We demonstrate our new technique by using it to estimate thoracic respiratory motion fields from dynamic MRI data and compare our approach with non-adaptive local rigid and local affine approaches.