Segmentation of CT arteriography based on combination of segmentation methods

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43898227" target="_blank" >RIV/49777513:23520/11:43898227 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1134/S105466181102088X" target="_blank" >http://dx.doi.org/10.1134/S105466181102088X</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1134/S105466181102088X" target="_blank" >10.1134/S105466181102088X</a>

Result language
angličtina
Original language name
Segmentation of CT arteriography based on combination of segmentation methods
Original language description
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.
Czech name
—
Czech description
—

Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
—

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)