Abstract
Liver volumetry is a required step for the planning of liver surgery and resection. It is generally based on Computerized tomography images, and segmentation of the liver is the most important step of the process. We propose an automatic segmentation algorithm based on a geometric level set method which provides an accurate segmentation of the liver, and requires no a priori information. We show results on different datasets, with and without a contrast agent. The segmentation is compared to manual delineation by a radiologist with good results.
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References
Chan, T.F., Vese, L.A.: Active Contours Without Edges. IEEE Transactions on Image Processing 10(2) (2001)
Pan, S., Dawant, B.: Automatic 3D segmentation of the liver from abdominal CT images: a level set approach. In: Proc. SPIE Medical Imaging, vol. 4322, pp. 128–138 (2001)
Soler, L., Delingette, H., Malandain, G., Montaganat, J., et al.: Fully automatic anatomical, pathological and functional segmentation from CT scans for hepatic surgery. Computer Aided Surgery 6, 131–142 (2001)
Seo, K., Ludeman, L.C., Park, S., Park, J.: Efficient liver segmentation based on the spine. In: Yakhno, T. (ed.) ADVIS 2004. LNCS, vol. 3261, pp. 400–409. Springer, Heidelberg (2004)
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Garamendi, J.F., Malpica, N., Martel, J., Schiavi, E. (2007). Automatic Segmentation of the Liver in CT Using Level Sets Without Edges. In: Martí, J., Benedí, J.M., Mendonça, A.M., Serrat, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2007. Lecture Notes in Computer Science, vol 4477. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72847-4_22
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DOI: https://doi.org/10.1007/978-3-540-72847-4_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72846-7
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