Gray-level hit-or-miss transform based region-growing for automatic segmentation of 3D coronary arteries - Archive ouverte HAL Access content directly
Conference Papers Year : 2007

Gray-level hit-or-miss transform based region-growing for automatic segmentation of 3D coronary arteries

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Abstract

In this paper we propose a fully automatic algorithm for coronary artery extraction from X-ray data (3D- CT scan, 64 detectors). Growing and thresholding methods, in their most general form, are not sufficient to extract only the whole coronary arteries, because of the properties of these images. Finding appropriate methods is known to be a challenging problem because of the data imperfections such as noise, heterogeneous intensity and contrasts of similar tissues. We deal with these challenges by employing discrete geometric tools to fit on the arteries form independently from any perturbation of the data.
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Dates and versions

hal-01695000 , version 1 (31-01-2018)

Identifiers

  • HAL Id : hal-01695000 , version 1

Cite

Bessem Bouraoui, Christian Ronse, Joseph Baruthio, Nicolas Passat, Philippe Germain. Gray-level hit-or-miss transform based region-growing for automatic segmentation of 3D coronary arteries. International Symposium on Mathematical Morphology (ISMM), 2007, Rio de Janeiro, Brazil. pp.23-24. ⟨hal-01695000⟩
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