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Evaluation of segmentation algorithms for intravascular ultrasound images

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Visualization in Biomedical Computing (VBC 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1131))

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Abstract

A large number of paradigms to segment 30 MHz intravascular ultrasound (IVUS) subtraction images is evaluated. A fully automated active contour model, initialized by thresholding and preceded by filtering with a large scale median filter is a good alternative for manual delineation of both pre-dilation and post-dilation images. Results obtained with this automated method are even better than manual segmentation, which is a major step forwards in IVUS image analysis.

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Author information

Authors and Affiliations

  1. Imaging Center, University Hospital Utrecht, The Netherlands

    Carolien J. Bouma, Wiro J. Niessen, Karel J. Zuiderveld & Max A. Viergever

  2. Erasmus University Rotterdam, The Netherlands

    Elma J. Gussenhoven

Authors
  1. Carolien J. Bouma
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  2. Wiro J. Niessen
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  3. Karel J. Zuiderveld
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  4. Elma J. Gussenhoven
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  5. Max A. Viergever
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Editor information

Karl Heinz Höhne Ron Kikinis

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© 1996 Springer-Verlag Berlin Heidelberg

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Bouma, C.J., Niessen, W.J., Zuiderveld, K.J., Gussenhoven, E.J., Viergever, M.A. (1996). Evaluation of segmentation algorithms for intravascular ultrasound images. In: Höhne, K.H., Kikinis, R. (eds) Visualization in Biomedical Computing. VBC 1996. Lecture Notes in Computer Science, vol 1131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0046955

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  • DOI: https://doi.org/10.1007/BFb0046955

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61649-8

  • Online ISBN: 978-3-540-70739-4

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