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

  • Vincent Bismuth
  • Régis Vaillant
  • Hugues Talbot
  • Laurent Najman
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7511)


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.


curvilinear structures image segmentation shortest path 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Vincent Bismuth
    • 1
    • 2
  • Régis Vaillant
    • 2
  • Hugues Talbot
    • 1
  • Laurent Najman
    • 1
  1. 1.Laboratoire d’informatique Gaspard-Monge, équipe A3SI, ESIEEUniversité Paris estMarne-la-Vallée Cedex 2France
  2. 2.General Electric HealthcareBucFrance

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