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Extracting the Geometry of Branching Slabs via Cores

Our objective is to extract branching objects such as the kidney and its ureter from 3D medical images. Our approach is based on cores, height ridges of a graded measure of an image location’s medial strength. Cores’ strength lies in their providing a powerful representation of shape while being relatively insensitive to image noise and boundary details. The novelty in this paper is the extension of cores from existing methods that handle branching tubular objects to a broader ability to handle non-tubular, or slab-like, objects. The slab-like core extraction method presented utilizes a coarse-to-fine grid-based marching scheme with branch handling and automated end detection. Performance is analyzed using sets of synthetic images and demonstrated on CT images of kidneys and adjoining vasculature. Results are good on relatively low noise medical images and show promise for use on more difficult images.