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Segmentation of liver vessels for surgical purposes

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 text...

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Published in:	Pattern recognition and image analysis 2014, Vol.24 (1), p.185-187
Main Authors:	Zimmermann, P., Pirner, I., Zelezny, M.
Format:	Article
Language:	English
Subjects:	Applied Problems Applied sciences Artificial intelligence Boundaries Classification Computer Science Computer science control theory systems Cybernetics Data processing. List processing. Character string processing Density Exact sciences and technology Image Processing and Computer Vision Liver Mathematical models Medical imaging Memory organisation. Data processing Morphology Neighborhoods Pattern Recognition Pattern recognition. Digital image processing. Computational geometry Segmentation Skewness Software Studies Surface layer Surgery Texture
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container_title	Pattern recognition and image analysis
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creator	Zimmermann, P. Pirner, I. Zelezny, M.
description	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.
doi_str_mv	10.1134/S1054661814010210
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subjects	Applied Problems Applied sciences Artificial intelligence Boundaries Classification Computer Science Computer science control theory systems Cybernetics Data processing. List processing. Character string processing Density Exact sciences and technology Image Processing and Computer Vision Liver Mathematical models Medical imaging Memory organisation. Data processing Morphology Neighborhoods Pattern Recognition Pattern recognition. Digital image processing. Computational geometry Segmentation Skewness Software Studies Surface layer Surgery Texture
title	Segmentation of liver vessels for surgical purposes
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