ct image segmentation using fem with optimized boundary conditionct图像分割使用有限元法和边界条件进行了优化.pdfVIP

CT Image Segmentation Using FEM with Optimized Boundary Condition 1 2 2 1 3 Hiroyuki Hishida , Hiromasa Suzuki , Takashi Michikawa , Yutaka Ohtake , Satoshi Oota * 1 Department of Precision Engineering, School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan, 2 Research Center for Advanced Science and Technology, The University of Tokyo, Meguro-ku, Tokyo, Japan, 3 RIKEN BioResouce Center, Tsukuba, Ibaraki, Japan Abstract The authors propose a CT image segmentation method using structural analysis that is useful for objects with structural dynamic characteristics. Motivation of our research is from the area of genetic activity. In order to reveal the roles of genes, it is necessary to create mutant mice and measure differences among them by scanning their skeletons with an X-ray CT scanner. The CT image needs to be manually segmented into pieces of the bones. It is a very time consuming to manually segment many mutant mouse models in order to reveal the roles of genes. It is desirable to make this segmentation procedure automatic. Although numerous papers in the past have proposed segmentation techniques, no general segmentation method for skeletons of living creatures has been established. Against this background, the authors propose a segmentation method based on the concept of destruction analogy. To realize this concept, structural analysis is performed using the finite element method (FEM), as structurally weak areas can be expected to break under conditions of stress. The contribution of the method is its novelty, as no studies have so far used structural analysis for image segmentat