Abstract
In this paper we present a new method for fully automatic liver segmentation in computed tomography images. First, an initial set of seed points for the random walker algorithm is created. In this context, voxels belonging to air, fat tissue and ribcage are labeled as background. Furthermore, depending on the shape of the ribcage and voxel intensities, several seed points inside the liver are automatically selected as foreground. This seed mask is then used to initialize the segmentation algorithm. Our method was successfully tested on data of 22 patients.
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References
Soler L, Delingette H, Malandain G, et al. Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery. Comput Aided Surg. 2001;6:131–42.
Lamecker H, Lange T, Seebaß M. A statistical shape model for the liver. Proc MICCAI. 2002;2489:421–27.
Lim SJ, Jeong YY, Ho YS. Segmentation of the liver using the deformable contour method on CT images. Proc SPIE. 2005;3767:570–81.
Grady L. Random walks for image segmentation. IEEE Trans Pattern Anal Mach Intell. 2006;28(11):1768–83.
Grady L, Schiwietz T, Aharon S, et al. Random walks for interactive organ segmentation in two and three dimensions: Implementation and validation. Proc MICCAI. 2005;3750:773–80.
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Maier, F., Wimmer, A., Soza, G., Kaftan, J.N., Fritz, D., Dillmann, R. (2008). Automatic Liver Segmentation Using the Random Walker Algorithm. In: Tolxdorff, T., Braun, J., Deserno, T.M., Horsch, A., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2008. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78640-5_12
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DOI: https://doi.org/10.1007/978-3-540-78640-5_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78639-9
Online ISBN: 978-3-540-78640-5
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