Retroperitoneal space organ segmentation from ct images based on the level set function
R.V. Eruslanov, M.N. Orehova, V.N. Dubrovin

 

Volga State University of Technology,

Republican Clinical Hospital of the Mary-El Republic

Full text of article: Russian language.

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Abstract:
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.

Keywords:
segmentation, computer tomography, retroperitoneal space organs, CT (computed tomography), image processing, anisotropic diffusion, nonlinear filtration, level set, active contour.

Citation:
Eruslanov RV, Orehova MN, Dubrovin VN. Retroperitoneal space organ segmentation from CT images based on the level set function. Computer Optics 2015; 39(4): 592-9. DOI: 10.18287/0134-2452-2015-39-4-592-599.

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