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18th International Conference on Pattern Recognition (ICPR'06) Volume 4
Shape Decomposition Approach for Ultrasound Color Doppler Image Segmentation
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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Ashraf A. Saad, Linda G. Shapiro, "Shape Decomposition Approach for Ultrasound Color Doppler Image Segmentation," Pattern Recognition, International Conference on, vol. 4, pp. 691-694, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.1049,
author = {Ashraf A. Saad and Linda G. Shapiro},
title = {Shape Decomposition Approach for Ultrasound Color Doppler Image Segmentation},
journal ={Pattern Recognition, International Conference on},
volume = {4},
year = {2006},
issn = {1051-4651},
pages = {691-694},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.1049},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Shape Decomposition Approach for Ultrasound Color Doppler Image Segmentation
SN - 1051-4651
SP691
EP694
A1 - Ashraf A. Saad,
A1 - Linda G. Shapiro,
PY - 2006
KW - null
VL - 4
JA - Pattern Recognition, International Conference on
ER -
 
Ashraf A. Saad, Philips Medical Systems, Bothell, WA
Linda G. Shapiro, University of Washington, Seattle, WA
We present a novel technique for segmenting blood vessels in ultrasound color Doppler images based on shape decomposition. Ultrasound color Doppler images frequently suffer from a vessel linking artifact called ?color bleeding?. The proposed technique decomposes a complex binary object representing either two or more vessels artificially linked together or a main vessel with its branches. The resulting simple parts represent distinct vessels that can be used in further object recognition and quantification applications.
Citation:
Ashraf A. Saad, Linda G. Shapiro, "Shape Decomposition Approach for Ultrasound Color Doppler Image Segmentation," icpr, vol. 4, pp.691-694, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006
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