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International Conference on Computational Science and Its Applications

ICCSA 2005: Computational Science and Its Applications – ICCSA 2005 pp 11–18Cite as

Flexible Background-Texture Analysis for Coronary Artery Extraction Based on Digital Subtraction Angiography

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3480))

Abstract

Image subtraction makes it possible to enhance the visibility of the difference between two images. This technique has been used in digital subtraction angiography (DSA) that is a well established modality for the visualization of coronary arteries. DSA involves the subtraction of a mask image – an image of the heart before injection of contrast medium – from live image. A serious disadvantage of this method, inherent to the subtraction operation, is sensitivity to distortion and variance of background gray-level intensity. Among the causes of these distortions are mean gray-level shift, and motions of heart and lung. In this paper, by choosing the image that has the minimum distortion through similarity analysis of background texture, we suggest the way to solve fundamental problems caused by background distortion, and then how to segment vessel from colony angiography through local gray-level correction of selected image.

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References

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Author information

Authors and Affiliations

  1. School of Computing, Soong-Sil University, Korea

    Sung-Ho Park, Jeong-Hee Cha & Joong-Jae Lee

  2. Department of Computing, Soong-Sil University, Korea

    Gye-Young Kim

Authors
  1. Sung-Ho Park
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  2. Jeong-Hee Cha
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  3. Joong-Jae Lee
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  4. Gye-Young Kim
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  2. Department of Computer Science, University of Calgary, 2500 University Drive N.W, T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, P.O. Box, I-06123, Perugia, Italy

    Antonio Laganà

  5. Institute of High Performance Computing, IHCP, 1 Science Park Road, 01-01 The Capricorn, Singapore Science Park II, 117528, Singapore

    Heow Pueh Lee

  6. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  7. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  8. OptimaNumerics Ltd, P.O. Box, Belfast, United Kingdom

    Chih Jeng Kenneth Tan

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Park, SH., Cha, JH., Lee, JJ., Kim, GY. (2005). Flexible Background-Texture Analysis for Coronary Artery Extraction Based on Digital Subtraction Angiography. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424758_2

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  • DOI: https://doi.org/10.1007/11424758_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25860-5

  • Online ISBN: 978-3-540-32043-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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