Abstract
We propose a CT image segmentation method using structural analysis. The aim of our research is to decompose assembled fossil of skeletons and crania into fragments in the area of fossil reconstruction. One challenge specific to this type of segmentation procedure is the separation of fragments where their gaps are not necessarily clear. We previously proposed a method of segmenting CT images using structural analysis. This technique is based on the assumption that the interference area (joint) between components (bones) is structurally weak. We compute strain, which tends to be large in structurally weak areas and segment the image in the region of high strain. With this approach, there is a need to specify boundary conditions for the structural analysis, namely, loading conditions (loading forces and their positions) and locations of fixed boundaries. In our previous work, we proposed a method of optimizing loading forces given loading positions and fixed boundary positions. In this study, we propose a method to find both of those positions to automate the segmentation procedure. Some segmentation results generated by our prototype software demonstrate applicability of the proposed method.
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Suzuki, H. et al. (2014). CT Image Segmentation for Bone Structures Using Image-Based FEM. In: Akazawa, T., Ogihara, N., C Tanabe, H., Terashima, H. (eds) Dynamics of Learning in Neanderthals and Modern Humans Volume 2. Replacement of Neanderthals by Modern Humans Series. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54553-8_20
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DOI: https://doi.org/10.1007/978-4-431-54553-8_20
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