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Learning to Detect Stent Struts in Intravascular Ultrasound

  • Francesco Ciompi
  • Rui Hua
  • Simone Balocco
  • Marina Alberti
  • Oriol Pujol
  • Carles Caus
  • Josepa Mauri
  • Petia Radeva
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7887)

Abstract

In this paper we tackle the automatic detection of struts elements (metallic braces of a stent device) in Intravascular Ultrasound (IVUS) sequences. The proposed method is based on context-aware classification of IVUS images, where we use Multi-Class Multi-Scale Stacked Sequential Learning (M2SSL). Additionally, we introduce a novel technique to reduce the amount of required contextual features. The comparison with binary and multi-class learning is also performed, using a dataset of IVUS images with struts manually annotated by an expert. The best performing configuration reaches a F-measure F = 63.97% .

Keywords

Intravascular Ultrasounds Stent detection Stacked Sequential Learning 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Francesco Ciompi
    • 1
    • 2
  • Rui Hua
    • 1
    • 2
  • Simone Balocco
    • 1
    • 2
  • Marina Alberti
    • 1
    • 2
  • Oriol Pujol
    • 1
  • Carles Caus
    • 3
  • Josepa Mauri
    • 3
  • Petia Radeva
    • 1
    • 2
  1. 1.Dep. of Applied Mathematics and AnalysisUniversity of BarcelonaSpain
  2. 2.Computer Vision CenterCampus UABBarcelonaSpain
  3. 3.Hospital Universitari “Germans Trias i Pujol”BadalonaSpain

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