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Automatic segmentation of the carotid artery bifurcation region with a region-growing approach

[+] Author Affiliations
Marek R. Ogiela

AGH University of Science and Technology, 30 Mickiewicza Avenue, 30-059 Krakow, Poland

Tomasz Hachaj

Pedagogical University of Krakow, Institute of Computer Science and Computer Methods, 2 Podchorazych Avenue, 30-084 Krakow, Poland

J. Electron. Imaging. 22(3), 033029 (Sep 12, 2013). doi:10.1117/1.JEI.22.3.033029
History: Received November 27, 2012; Revised July 21, 2013; Accepted August 20, 2013
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Abstract.  The original contribution is to propose an intensity-based segmentation algorithm for extracting the carotid artery bifurcation region and validate the proposed solution on real patients’ CTA data. The proposed homogeneity criteria allow the production of locally smooth segmentations and prevent excessive growth into neighboring tissues of similar densities. The obtained segmentation results are compared to manual findings of a radiologist and measured with the Dice similarity coefficient (Dsi). This technique has been shown to be a reliable tool as effective as top state-of-the-art methods (Dsi=93.6%±3.5%).

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© 2013 SPIE and IS&T

Topics

Arteries ; Tissues

Citation

Marek R. Ogiela and Tomasz Hachaj
"Automatic segmentation of the carotid artery bifurcation region with a region-growing approach", J. Electron. Imaging. 22(3), 033029 (Sep 12, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.3.033029


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