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BACKGROUND CONTEXT Although anterior cervical decompression and fusion has been used successfully in the treatment of symptomatic radiculopathy and/or myelopathy, biomechanical studies have suggested possible deleterious effects of cervical fusion on adjacent level kinematics. The emergence of cervical arthroplasty as an alternative to arthrodesis may(More)
This paper proposes a nonlinear regression model to predict soft tissue deformation after maxillofacial surgery. The feature which served as input in the model is extracted with finite element model (FEM). The output in the model is the facial deformation calculated from the preoperative and postoperative 3D data. After finding the relevance between feature(More)
Facial soft tissue deformation following osteotomy is associated with the corresponding biomechanical characteristics of bone and soft tissues. However, none of the methods devised to predict soft tissue deformation after osteotomy incorporates population-based statistical data. The aim of this study is to establish a statistical model to describe the(More)
In this paper, we propose a novel statistical deformable model (SDM) for Material-related object deformation, which we called Mr-SDM. In Mr-SDM, by integrating the prior knowledge of the physical material property into the training of SDM, we are able to achieve both accuracy and computational efficiency in simulating material deformation for various(More)
In this paper, we proposed a new 3D object retrieval method based on the visual keywords. In our method, the visual keywords are generated from the clusters of Relative Angle Context Distribution, which provides a statistical shape context that captures local shape characters and is also rotational and scale invariant. We also adopt the term frequency model(More)