Fast Segmentation of Kidneys in CT Images
Jane P. Ko · 2010
In thi s paper we present a fast implementation of segmentation algorithm suited for extraction of human kidneys in CT images. Kidneys have quite simple shape and that allows us to use faster algorithms than those which can adapt to changes in topology (e.g. level-sets). We based our 3D segmentation method on parametric snakes executed in volume slices to obtain contours, which define organs volume. This allows strong high-level parallelization of implemented method, which is scaling well with increasing number of processing units. We also decreased computational load by introducing more complex and descriptive statistical models, which substitute few expensive operations in segmentation process, reduce number of parameters and still give similar results.