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Journal of Electronic Imaging

Automatic segmentation of the carotid artery bifurcation region with a region-growing approach
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Paper 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 (D si ). This technique has been shown to be a reliable tool as effective as top state-of-the-art methods (D si =93.6%±3.5% ).

Paper Details

Date Published: 12 September 2013
PDF: 8 pages
J. Electron. Imag. 22(3) 033029 doi: 10.1117/1.JEI.22.3.033029
Published in: Journal of Electronic Imaging Volume 22, Issue 3
Show Author Affiliations
Marek R. Ogiela, AGH Univ. of Science and Technology (Poland)
Tomasz Hachaj, Cracow Pedagogical Univ. (Poland)

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