Retroperitoneal space organ segmentation from CT images based on the level set function

This article presents a method for solving a problem of segmentation of the retroperitoneal space organs from tomographic images. The method relies on the level set function. We also discuss a method of image preprocessing based on a nonlinear anisotropic diffusion filter, which operates by smoothing the image, while maintaining boundaries between the segments. A tomographic-image segmentation algorithm based on the level set function is synthesized.