Image Processing, Analysis, and Machine Vision
Image Processing, Analysis, and Machine Vision
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This paper describes a solution of CT arteriography vessel segmentation using a combination of methods for segmentation of image data. Computer tomography (CT) is one of the most useful approaches for investigating the arterial system and its pathologies. There are three ways for segmenting the vessels from the CT image -- manually, fully automatically and with a user interaction. We considered the (semi)automatic approaches, because the manual way is too time-consuming and human-dependent. We used a combination of three segmentation techniques: thresholding, edge detection and region growing. Results of this method were consulted then with a medicine expert. None of these techniques can be used separately, but a combination of them brought very good results, which can be used in medicine.