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- W2099133081 abstract "In this work we present a new analysis technique for dynamic 3D images. The method allows the reconstruction of dynamic surfaces describing object boundaries in the 3D images over time. The only input of the user is a grey value threshold used for boundary detection and a bounding box around the surfaces of the object of interest. The output of our method is a dynamic surface mesh that tracks the object boundary over time. We first extract a set of weighted points from the MR image data using a local boundary voting scheme. The dynamic surface is defined as an extremal surface on the resulting point-sampled boundary probability density. In this way a surface with adjustable smoothness is obtained that can be reconstructed using projection operators similar to the ones used for point set surfaces. We extend the projection operators to 3manifolds in 4D and obtain a much better tracking performance of the dynamic surface model. In contrast to computationally expensive active contour algorithms, the new algorithm can be easily parallelized. The proposed approach is applied to 4D-MR images of a human heart in motion." @default.
- W2099133081 created "2016-06-24" @default.
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- W2099133081 date "2005-01-01" @default.
- W2099133081 modified "2023-09-23" @default.
- W2099133081 title "Dynamic Surface Reconstruction from 4D-MR Images" @default.
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