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International Conference on Medical Image Computing and Computer-Assisted Intervention

MICCAI 2012: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012 pp 9–16Cite as

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Curvilinear Structure Enhancement with the Polygonal Path Image - Application to Guide-Wire Segmentation in X-Ray Fluoroscopy

Curvilinear Structure Enhancement with the Polygonal Path Image - Application to Guide-Wire Segmentation in X-Ray Fluoroscopy

  • Vincent Bismuth19,20,
  • Régis Vaillant20,
  • Hugues Talbot19 &
  • …
  • Laurent Najman19 
  • Conference paper
  • 4091 Accesses

  • 17 Citations

Part of the Lecture Notes in Computer Science book series (LNIP,volume 7511)

Abstract

Curvilinear structures are common in medical imaging, which typically require dedicated processing techniques. We present a new structure to process these, that we call the polygonal path image, denoted \(\mathfrak{P}\). We derive from \(\mathfrak{P}\) some curvilinear structure enhancement and analysis algorithms. We show that \(\mathfrak{P}\) has some interesting properties: it generalizes several concepts found in other methods; it makes it possible to control the smoothness and length of the structures under study; and it can be computed efficiently. We estimate quantitatively its performance in the context of interventional cardiology for the detection of guide-wires in X-ray images. We show that \(\mathfrak{P}\) is particularly well suited for this task where it appears to outperform previous state of the art techniques.

Keywords

  • curvilinear structures
  • image segmentation
  • shortest path

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References

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Author information

Authors and Affiliations

  1. Laboratoire d’informatique Gaspard-Monge, équipe A3SI, ESIEE, Université Paris est, 77454, Marne-la-Vallée Cedex 2, France

    Vincent Bismuth, Hugues Talbot & Laurent Najman

  2. General Electric Healthcare, 283 rue de la minière, 78533, Buc, France

    Vincent Bismuth & Régis Vaillant

Authors
  1. Vincent Bismuth
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  2. Régis Vaillant
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  3. Hugues Talbot
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  4. Laurent Najman
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Editor information

Editors and Affiliations

  1. Project Team Asclepios, Inria Sophia Antipolis, 06902, Sophia-Antipolis, France

    Nicholas Ayache & Hervé Delingette & 

  2. MIT, CSAIL, 02139, Cambridge, MA, USA

    Polina Golland

  3. Information and Communication Headquarters, Nagoya University, 464-8603, Nagoya, Japan

    Kensaku Mori

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Bismuth, V., Vaillant, R., Talbot, H., Najman, L. (2012). Curvilinear Structure Enhancement with the Polygonal Path Image - Application to Guide-Wire Segmentation in X-Ray Fluoroscopy. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. MICCAI 2012. Lecture Notes in Computer Science, vol 7511. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33418-4_2

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  • DOI: https://doi.org/10.1007/978-3-642-33418-4_2

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  • Print ISBN: 978-3-642-33417-7

  • Online ISBN: 978-3-642-33418-4

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