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Citation

Pirner Ivan and Jiřík Miroslav and Železný Miloš : Segmentation of CT arteriography based on combination of segmentation methods . Pattern Recognition and Image Analysis, 2011.

Abstract

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 timeconsuming and humandependent. 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 combi nation of them brought very good results, which can be used in medicine.

Detail of publication

Title: Segmentation of CT arteriography based on combination of segmentation methods
Author: Pirner Ivan ; Jiřík Miroslav ; Železný Miloš
Language: English
Date of publication: 1 Jan 2011
Year: 2011
Type of publication: Papers in journals
Title of journal or book: Pattern Recognition and Image Analysis
ISSN: 1054-6618
/ 2015-09-29 08:26:45 /

Keywords

image processing, segmentation, vessel tree, thresholding, region growing, edge detection

BibTeX

@ARTICLE{PirnerIvan_2011_SegmentationofCT,
 author = {Pirner Ivan and Ji\v{r}\'{i}k Miroslav and \v{Z}elezn\'{y} Milo\v{s}},
 title = {Segmentation of CT arteriography based on combination of segmentation methods},
 year = {2011},
 journal = {Pattern Recognition and Image Analysis},
 ISSN = {1054-6618},
 url = {http://www.kky.zcu.cz/en/publications/PirnerIvan_2011_SegmentationofCT},
}