Abstract
We propose a segmentation method for X-ray CT images of skeletons. Our idea is the use of functional images, or results of physical simulations for CT images. In our study, we apply voxel based physical simulation to the CT images taking into account Young′s module computed from CT values and remove voxels with the highest strain on surface. We iterate this procedure to decompose a set of skeletons. This approach is efficient for segmentation of noisy biological X ray CT image(s) which are usually low resolution and strongly blurred. Indeed, this paper demonstrates several examples can be decomposed correctly, whereas they are failed with conventional methods.
