Attribute-filtering, relying on the notion of component-tree, enables to process grey-level images by taking into account high-level a priori knowledge. Based on these notions, a method is proposed for automatic segmentation of vascular structures from phase-contrast magnetic resonance angiography. Experiments performed on 16 images and validations by comparison to results obtained by two human experts emphasise the relevance of the method. © 2010 Springer-Verlag.
CITATION STYLE
Caldairou, B., Passat, N., & Naegel, B. (2010). Attribute-filtering and knowledge extraction for vessel segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6453 LNCS, pp. 13–22). https://doi.org/10.1007/978-3-642-17289-2_2
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