Deformations incorporating rigid structures
Computer Vision and Image Understanding
A new point matching algorithm for non-rigid registration
Computer Vision and Image Understanding - Special issue on nonrigid image registration
Articulated rigid registration for serial lower-limb mouse imaging
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Automatic articulated registration of hand radiographs
Image and Vision Computing
Non-rigid image registration using gaussian mixture models
WBIR'12 Proceedings of the 5th international conference on Biomedical Image Registration
Automated skeleton based multi-modal deformable registration of head&neck datasets
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
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3D inter-subject registration of image volumes is important for tasks such as atlas-based segmentation, deriving population averages, or voxel and tensor-based morphometry. A number of methods have been proposed to tackle this problem but few of them have focused on the problem of registering whole body image volumes acquired either from humans or small animals. These image volumes typically contain a large number of articulated structures, which makes registration more difficult than the registration of head images, to which the vast majority of registration algorithms have been applied. This paper pre-sents a new method for the automatic registration of whole body CT volumes, which consists of two steps. Skeletons and external surfaces are first brought into approximate correspondence with a robust point-based method. Trans-formations so obtained are refined with an intensity-based algorithm that includes spatial adaptation of the transformation's stiffness. The approach has been applied to whole body CT images of mice and to CT images of the human upper torso. We demonstrate that the approach we propose can successfully register image volumes even when these volumes are very different in size and shape or if they have been acquired with the subjects in different positions.