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Medical volume images contain ambiguous and low-contrast boundaries around which existing fully- or semi-automatic segmentation algorithms often cause errors. In this paper, we propose a novel system for intuitively and efficiently refining medical volume segmentation by modifying multiple curved contours. Starting with seg-mentation data obtained using any existing algorithm, the user places a three-dimensional curved cross-section and contours of the foreground region by drawing a cut stroke, and then modifies the contours referring to the cross-section. The modified contours are used as constraints for deforming a boundary surface that envelops the foreground region, and the region is updated by that deformed boundary. Our surface deformation algorithm seamlessly integrates detail-preserving and curvature-diffusing methods to keep important detail boundary fea-tures intact while obtaining smooth surfaces around unimportant boundary regions. Our system supports topo-logical manipulations as well as contour shape modifications. We illustrate the feasibility of our system by pro-viding examples of its application to the segmentation of bones, muscles, kidneys with blood vessels, and bowels.

paper(preprint) slides(.zip)



Takashi Ijiri and Hideo Yokota: Contour-based Interface for Refining Volume Segmentation. Computer Graphics Forum, 29, 7(2010), 2153-2160. (Pacific Graphics2010).

@article{IjiriPG10,
    author  = {Ijiri, Takashi and Yokota, Hideo},
    title   = {Contour-based Interface for Refining Volume Segmentation.},
    journal = {Comput. Graph. Forum},
    pages   = {2153-2160},
    volume  = 29,
    number  = 7,
    year    = 2010
}