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

Marek R. Ogiela; Tomasz Hachaj

doi:10.1117/1.JEI.22.3.033029

12 September 2013 Automatic segmentation of the carotid artery bifurcation region with a region-growing approach

Marek R. Ogiela, Tomasz Hachaj

Author Affiliations +

Journal of Electronic Imaging, Vol. 22, Issue 3, 033029 (September 2013). https://doi.org/10.1117/1.JEI.22.3.033029

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% ).

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Marek R. Ogiela and Tomasz Hachaj "Automatic segmentation of the carotid artery bifurcation region with a region-growing approach," Journal of Electronic Imaging 22(3), 033029 (12 September 2013). https://doi.org/10.1117/1.JEI.22.3.033029

Published: 12 September 2013

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