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Detail of publication


Zimmermann P. and Pirner I. and Zelezny M. : Segmentation of liver vessels for surgical purposes . Pattern Recognition and Image Analysis, Springer US, 2014.

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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.

Detail of publication

Title: Segmentation of liver vessels for surgical purposes
Author: Zimmermann P. ; Pirner I. ; Zelezny M.
Language: English
Date of publication: 1 Jan 2014
Year: 2014
Type of publication: Papers in journals
Title of journal or book: Pattern Recognition and Image Analysis
Publisher: Springer US
/ 2015-12-21 10:14:59 /


mathematical morphology, Medical image segmentation, texture-based classification, thresholding


 author = {Zimmermann P. and Pirner I. and Zelezny M.},
 title = {Segmentation of liver vessels for surgical purposes},
 year = {2014},
 publisher = {Springer US},
 journal = {Pattern Recognition and Image Analysis},
 url = {},