Vascular structures extraction by background normalization

Abstract

The vessel structures of the blood circulatory system are one of the most complex structures of the human body. Modern computed tomography techniques allow acquiring high resolution images, but at the same time, the amount of artifacts in output images is quite high. They may affect diagnostic result and may obscure or simulate pathology. The idea of our method represent a 3D computed tomography image a combination of vascular structure and background that has normal distribution in some neighborhood. The proposed approach can be applied to denoising computed tomography images, enhancing of contrast in lesion areas without changing topology of initial vessel structures. Experimental results show that it can archive nonuniform luminocity and contrast normalization .