Interactive 3D brain vessel segmentation from an example

Abstract : Segmentation of cerebral vascular networks from 3D angiographic data remains a challenge. Automation generally induces a high computational cost and possible errors, while interactive methods are hard to use due to the dimension and complexity of images. This article presents a compromise between both approaches, by using the concept of example-based segmentation. Segmentation examples of vascular structures are involved in a scheme relying on connected filtering, in order to obtain an interactive –but strongly assisted– segmentation method. This strategy, which uses component- trees in a non-standard fashion, leads to promising results, when applied on cerebral MR angiographic data.
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Alice Dufour, Nicolas Passat, Benoît Naegel, Joseph Baruthio. Interactive 3D brain vessel segmentation from an example. International Symposium on Biomedical Imaging (ISBI), 2011, Chicago, United States. pp.1121-1124, ⟨10.1109/ISBI.2011.5872598⟩. ⟨hal-01695036⟩

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