Abstract
The image segmentation plays an important role in medical image processing. Many segmentation algorithms exist. Most of them produce raster data which is not suitable for 3D geometrical modeling of human tissues. In this paper, a vector segmentation algorithm based on a 3D Delaunay triangulation is proposed. Tetrahedral mesh is used to divide a volumetric CT/MR data into non-overlapping regions whose characteristics are similar. Novel methods for improving quality of the mesh and its adaptation to the image structure are also presented.
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Španěl, M., Kršek, P., Švub, M., Štancl, V., Šiler, O. (2007). Delaunay-Based Vector Segmentation of Volumetric Medical Images. In: Kropatsch, W.G., Kampel, M., Hanbury, A. (eds) Computer Analysis of Images and Patterns. CAIP 2007. Lecture Notes in Computer Science, vol 4673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74272-2_33
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DOI: https://doi.org/10.1007/978-3-540-74272-2_33
Publisher Name: Springer, Berlin, Heidelberg
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