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Titlebook: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005; 8th International Co James S. Duncan,Guido Gerig Conference proce

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Peter Savadjiev,Jennifer S. W. Campbell,G. Bruce Pike,Kaleem Siddiqi
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Isabelle Corouge,P. Thomas Fletcher,Sarang Joshi,John H. Gilmore,Guido Gerig
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Unified Point Selection and Surface-Based Registration Using a Particle Filterd through a point selection algorithm derived from a stiffness model of surface-based registration, allowing the selection algorithm to incorporate knowledge of the uncertainties in the registration parameters. We show that the behavior of target registration error improves as the quality measure of the registration points increases.
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Uncertainty in White Matter Fiber Tractographyion between two areas in the brain is presented, and a new model of the local water diffusion profile is introduced. We also provide a theorem that facilitates the estimation of the parameters in this diffusion model, making the presented method simple to implement.
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3D Curve Inference for Diffusion MRI Regularizationes at each voxel with those in a local neighborhood. We argue that this provides several advantages over earlier regularization methods. We validate the approach quantitatively on a biological phantom and on synthetic data, and qualitatively on data acquired . from a human brain.
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Surface Alignment of 3D Spherical Harmonic Models: Application to Cardiac MRI Analysisst implementation. Applications of medical image analysis (., spatio-temporal modeling of heart shape changes) are used to demonstrate this approach. Theoretical proofs and experimental results show that our approach is an accurate and flexible surface correspondence alignment method.
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