Shape decomposition approach for ultrasound color doppler image segmentation

Ashraf A. Saad; Linda G. Shapiro

doi:10.1109/ICPR.2006.1049

Shape decomposition approach for ultrasound color doppler image segmentation

Ashraf A. Saad, Linda G. Shapiro

Electrical & Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

6 Scopus citations

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.

Original language	English
Article number	1699935
Pages (from-to)	691-694
Number of pages	4
Journal	Proceedings - International Conference on Pattern Recognition
Volume	4
DOIs	https://doi.org/10.1109/ICPR.2006.1049
State	Published - 2006
Event	18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, China Duration: Aug 20 2006 → Aug 24 2006

Scopus Subject Areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICPR.2006.1049

Cite this

@article{a011833096254736ae9ddf9f8d0120a1,

title = "Shape decomposition approach for ultrasound color doppler image segmentation",

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.",

author = "Saad, \{Ashraf A.\} and Shapiro, \{Linda G.\}",

year = "2006",

doi = "10.1109/ICPR.2006.1049",

language = "English",

volume = "4",

pages = "691--694",

journal = "Proceedings - International Conference on Pattern Recognition",

issn = "1051-4651",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "18th International Conference on Pattern Recognition, ICPR 2006 ; Conference date: 20-08-2006 Through 24-08-2006",

}

TY - JOUR

T1 - Shape decomposition approach for ultrasound color doppler image segmentation

AU - Saad, Ashraf A.

AU - Shapiro, Linda G.

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/34147109713

U2 - 10.1109/ICPR.2006.1049

DO - 10.1109/ICPR.2006.1049

M3 - Conference article

AN - SCOPUS:34147109713

SN - 1051-4651

VL - 4

SP - 691

EP - 694

JO - Proceedings - International Conference on Pattern Recognition

JF - Proceedings - International Conference on Pattern Recognition

M1 - 1699935

T2 - 18th International Conference on Pattern Recognition, ICPR 2006

Y2 - 20 August 2006 through 24 August 2006

ER -

Shape decomposition approach for ultrasound color doppler image segmentation

Abstract

Scopus Subject Areas

Access to Document

Other files and links

Fingerprint

Cite this