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  4. Fast Wavelet based Ultrasound Image Segmentation for Liver Vessels Extraction
 
conference paper

Fast Wavelet based Ultrasound Image Segmentation for Liver Vessels Extraction

Dagon, Benoît
•
Brocard, Alexandre
•
Baur, Charles  
2008
5th International Conference on Computer Aided Surgery around the Head
Computer Aided Surgery around the Head (CAS-H)

A method for extracting in real-time the position and size of liver vessels from 2D ultrasound images is described. It proceeds in two steps. Starting with a rough localization of the vessels using the scale-space theory, seed points are defined. Then, vessel contours are detected by analyzing the 1D wavelet transform of radial rays. The size of the vessel is then computed by fitting ellipses on the edge points.

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Type
conference paper
Author(s)
Dagon, Benoît
Brocard, Alexandre
Baur, Charles  
Date Issued

2008

Published in
5th International Conference on Computer Aided Surgery around the Head
Subjects

image segmentation

•

ultrasound

•

liver

•

wavelet

•

[VRAI]

URL

URL

http://www.cas-h-international.org/2008/
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LSRO  
Event nameEvent placeEvent date
Computer Aided Surgery around the Head (CAS-H)

Leipzig

February 6-9, 2008

Available on Infoscience
February 12, 2008
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/17720
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