Abstract
In the biomedical context, image segmentation is the process of dividing an image into different subregions, usually different organs or tissue types. But mostly, the gray values of the inner voxels and, by this, the major part of the information remain unused. The purpose of this work is a new way of segmentation and visualization of these voxels. Concerning treatment planning for clinical cases, we deliver a macroscopic view of bone respective tissue quality. For the simulation branch, we contribute to an improved individual inhomogeneous and anisotropic description of the material law.
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