Segmentation of liver vessels for surgical purposes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43926069" target="_blank" >RIV/49777513:23520/14:43926069 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1134/S1054661814010210" target="_blank" >http://dx.doi.org/10.1134/S1054661814010210</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1134/S1054661814010210" target="_blank" >10.1134/S1054661814010210</a>
Alternative languages
Result language
angličtina
Original language name
Segmentation of liver vessels for surgical purposes
Original language 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.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Pattern Recognition and Image Analysis
ISSN
1054-6618
e-ISSN
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Volume of the periodical
24
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
3
Pages from-to
185-187
UT code for WoS article
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EID of the result in the Scopus database
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