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International Conference Image Analysis and Recognition

ICIAR 2005: Image Analysis and Recognition pp 869–878Cite as

Carotid Artery Ultrasound Image Segmentation Using Fuzzy Region Growing

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3656))

Abstract

In this paper, we propose a new scheme for extracting the contour of the carotid artery using ultrasound images. Starting from a user defined seed point within the artery, the scheme uses the fuzzy region growing algorithm to create a fuzzy connectedness map for the image. Then, the fuzzy connectedness map is thresholded using a threshold selection mechanism to segment the area inside the artery. Experimental results demonstrated the efficiency of the proposed scheme in segmenting carotid artery ultrasound images, and it is insensitive to the seed point location, as long as it is located inside the artery.

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Author information

Authors and Affiliations

  1. Computer Science Department, University of Western Ontario, London, Ontario, Canada

    Amr R. Abdel-Dayem & Mahmoud R. El-Sakka

Authors
  1. Amr R. Abdel-Dayem
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  2. Mahmoud R. El-Sakka
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Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering Department, University of Waterloo,  

    Mohamed Kamel

  2. FEUP - Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, P.O. Box, 4200-465, Porto, Portugal

    Aurélio Campilho

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© 2005 Springer-Verlag Berlin Heidelberg

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Abdel-Dayem, A.R., El-Sakka, M.R. (2005). Carotid Artery Ultrasound Image Segmentation Using Fuzzy Region Growing. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559573_106

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  • DOI: https://doi.org/10.1007/11559573_106

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29069-8

  • Online ISBN: 978-3-540-31938-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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