Automatic Segmentation of the Liver in CT Using Level Sets Without Edges

  • Authors:
  • J. F. Garamendi;N. Malpica;J. Martel;E. Schiavi

  • Affiliations:
  • Universidad Rey Juan Carlos, Móstoles, Madrid (Spain),;Universidad Rey Juan Carlos, Móstoles, Madrid (Spain),;Fundación Hóspital de Alcorcón, Alcorcón, Madrid (Spain),;Universidad Rey Juan Carlos, Móstoles, Madrid (Spain),

  • Venue:
  • IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
  • Year:
  • 2007

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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.