Fast and Robust Semi-automatic Liver Segmentation with Haptic Interaction

  • Erik Vidholm
  • Sven Nilsson
  • Ingela Nyström
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4191)


We present a method for semi-automatic segmentation of the liver from CT scans. True 3D interaction with haptic feedback is used to facilitate initialization, i.e., seeding of a fast marching algorithm. Four users initialized 52 datasets and the mean interaction time was 40 seconds. The segmentation accuracy was verified by a radiologist. Volume measurements and segmentation precision show that the method has a high reproducibility.


Segmentation Result Liver Volume Average Cost Seed Region Seed Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Erik Vidholm
    • 1
  • Sven Nilsson
    • 2
  • Ingela Nyström
    • 1
  1. 1.Centre for Image AnalysisUppsala UniversitySweden
  2. 2.Dept. of Radiology and Clinical ImmunologyUppsala University HospitalSweden

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