DocumentCode :
2610609
Title :
Shape Decomposition Approach for Ultrasound Color Doppler Image Segmentation
Author :
Saad, Ashraf A. ; Shapiro, Linda G.
Author_Institution :
Washington Univ., Seattle, WA
Volume :
4
fYear :
0
fDate :
0-0 0
Firstpage :
691
Lastpage :
694
Abstract :
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
Keywords :
Doppler measurement; biomedical ultrasonics; blood vessels; feature extraction; image colour analysis; image segmentation; medical image processing; object recognition; binary object; blood vessels; color bleeding; object recognition; shape decomposition; ultrasound color Doppler image segmentation; vessel linking artifact; Biomedical imaging; Blood; Cells (biology); Color; Colored noise; Gray-scale; Image segmentation; Object recognition; Shape; Ultrasonic imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
ISSN :
1051-4651
Print_ISBN :
0-7695-2521-0
Type :
conf
DOI :
10.1109/ICPR.2006.1049
Filename :
1699935
Link To Document :
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