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Automated Cerebral Arteries Segmentation and Diameter Measurement of Aneurysm from MR Angiograms

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2774))

Abstract

An automated computerized scheme has been developed for cerebral arteries segmentation and diameter measurement of aneurysm from magnetic resonance (MR) angiograms. An MR angiogram was three dimensional image consisted of tomograms. In this method, cerebral arteries were segmented first automatically by region growing method. The cerebral arteries image was converted to two kinds of images, distance and thin line images for diameter measurement of aneurysm and blood vessel. The location of aneurysm was indicated by a user and the diameter was measured by a computer. This method can use quantitative analysis of aneurysm and blood vessel.

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References

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Author information

Authors and Affiliations

  1. Department of Intelligent Systems, Hiroshima City University, 3–4–1 Ozuka-higashi, Asa-minami-ku, Hiroshima, 731–3194, Japan

    Masahito Aoyama, Yoko Naruse & Naoki Asada

  2. Department of Clinical Radiology, Hiroshima International University,  

    Ikuo Kawashita

  3. Department of Radiology, Kinki University School of Medicine,  

    Kazuo Awai

Authors
  1. Masahito Aoyama
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  2. Ikuo Kawashita
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  3. Yoko Naruse
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  4. Naoki Asada
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  5. Kazuo Awai
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Editor information

Editors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, OXI 3QD, Oxford, United Kingdom

    Vasile Palade

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, SA 5095, Adelaide, Australia

    Lakhmi Jain

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© 2003 Springer-Verlag Berlin Heidelberg

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Cite this paper

Aoyama, M., Kawashita, I., Naruse, Y., Asada, N., Awai, K. (2003). Automated Cerebral Arteries Segmentation and Diameter Measurement of Aneurysm from MR Angiograms. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_55

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  • DOI: https://doi.org/10.1007/978-3-540-45226-3_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40804-8

  • Online ISBN: 978-3-540-45226-3

  • eBook Packages: Springer Book Archive

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