GVIP Journal    

GVIP ISSUE (9) ICGST

Carotid Artery Contour Extraction from Ultrasound Images Using Multi-Resolution-Analysis and Watershed Segmentation Scheme

Amr R. Abdel-Dayem and Mahmoud R. El-Sakka, Senior Member, IEEE

Computer Science Department, University of Western Ontario

London, Ontario, Canada

ABSTRACT

This paper introduces a novel segmentation scheme based on multi-resolution analysis and watershed segmentation algorithm. The proposed scheme consists of six major stages. These stages are 1) pre-processing, 2) wavelet transform, 3) image denoising, 4) watershed segmentation, 5) segmented image projection and finally 6) boundary extraction. Experimental results demonstrated the efficiency of the proposed scheme in segmenting carotid artery ultrasound images, where the computational cost of the watershed-based segmentation scheme is reduced, as it is applied to a small low‑resolution image. At the same time, the segmentation accuracy is increased as the proposed scheme is more robust to noise and hence, it prevents over segmentation in final segmented images.

Keywords: Wavelet transforms; watershed segmentation; computer aided diagnostic; plaque precipitation.

BIOGRAPHY:

Amr R. Abdel-Dayem received his B.Sc. (Hons) degree in Computer Science and Automatic Control Engineering from the University of Alexandria, Egypt, in 1993, and his M.Sc. in Electrical Engineering from the Arab Academy for Science and Technology, Egypt in 2001.

Currently, he is a Ph.D. candidate with the Computer Science Department, University of Western Ontario, Lonodon, Ontario, Canada. Mr. Abdel-Dayem research interests include medical imaging, image segmentation, pattern classification, image processing and compression, image understanding and enhancement, and fuzzy system applications.

 

Mahmoud R. El-Sakka received his B.Sc. (Hons) and M.Sc. degrees in Computer Science and Automatic Control Engineering from the University of Alexandria, Egypt, in 1985, and 1990 respectively, and his Ph.D. degree in Systems Design Engineering from University of Waterloo, Ontario, Canada, 1997.

 From 1997 to 1999, he was a faculty member with the Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, Canada. Since 1999 until now, he is a faculty member with the Department of Computer Science, University of Western Ontario, London, Ontario, Canada. Dr. El-Sakka research interests include image compression and encoding, medical Imaging, computer aided diagnostic, digital image understanding and enhancement, digital image segmentation, and image security

 Dr. El-Sakka has been a member of the Professional Engineers Ontario (PEO) since 1999, as well as a Senior Member of the Institute for Electrical and Electronic Engineers (SM-IEEE) since 1999.

 

BibTex:

@ARTICLE{P1150547002,

AUTHOR = {Amr R. Abdel-Dayem and Mahmoud R. El-Sakka},

TITLE = {Carotid Artery Contour Extraction from Ultrasound Images Using Multi-Resolution-Analysis and Watershed Segmentation Scheme},

JOURNAL = {ICGST International Journal on Graphics, Vision and Image Processing},

YEAR = {2005},

VOLUME={05},

ISSUE = {9},

PAGES={1--10}

}

(Full Paper, 1.5 MB)