Surface models from medical image data typically suffer from artifacts such as staircases and terraces. Our goal is the (automated) generation of accurate and high quality surface models for surgical applications as well as simulations. The resulting surface models are evaluated regarding accuracy, smoothness, triangle quality (skewness), mesh resolution and homogeneity. The mesh generation process is focuses on image data preprocessing as well as postprocessing of the surface meshes (smoothing, remeshing, decimation).
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