Pattern Recognition and Image Analysis

, Volume 24, Issue 1, pp 185–187 | Cite as

Segmentation of liver vessels for surgical purposes

  • P. ZimmermannEmail author
  • I. Pirner
  • M. Zelezny
Applied Problems


In this paper we describe a new approach for segmentation of liver from CT images and further the segmentation of liver vessels to create a visualization model for surgical purposes. Since usual approaches, based on density models or edge detection, don’t work well for liver, we investigate the texture of the liver to classify each pixel, whether it lies on the liver-background boundary or outside it. The classifier outputs the boundaries of the liver in each slice, which are used then to create the organ volume. Vessels are segmented then inside the liver volume using a single automatically selected threshold. The result is morphologically closed and smoothed by a Gaussian kernel then.


Medical image segmentation texture-based classification thresholding mathematical morphology 


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Copyright information

© Pleiades Publishing, Ltd. 2014

Authors and Affiliations

  1. 1.The Univerzity of West BohemiaPilsenCzech Republic

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