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Denoising CT Enterography on GPU

Publication at Faculty of Mathematics and Physics, First Faculty of Medicine |
2010

Abstract

CT enterography is a method of contrast enhanced diagnosis of small intestine from computed tomography examination. However, unlike the bones or other significant structures, automatic or semiautomatic examination of small intestine is almost impossible without the proper use of a denoising algorithm.

We cannot wait for hours for a simple denoising algorithm in medical praxis, but current GPUs enable the use of such computationally intensive algorithms like nonlocal means even on volumetric data. We discuss the implementation of such algorithms with different modifications in respect to the performance and suitability to run on a GPU.