A holistic approach for the detection of media-adventitia border in IVUS

  • Authors:
  • Francesco Ciompi;Oriol Pujol;Carlo Gatta;Xavier Carrillo;Josepa Mauri;Petia Radeva

  • Affiliations:
  • Dep. of Applied Mathematics and Analysis, University of Barcelona and Computer Vision Center, Barcelona, Spain;Dep. of Applied Mathematics and Analysis, University of Barcelona and Computer Vision Center, Barcelona, Spain;Dep. of Applied Mathematics and Analysis, University of Barcelona and Computer Vision Center, Barcelona, Spain;University Hospital "Germans Trias i Pujol", Badalona, Spain;University Hospital "Germans Trias i Pujol", Badalona, Spain;Dep. of Applied Mathematics and Analysis, University of Barcelona and Computer Vision Center, Barcelona, Spain

  • Venue:
  • MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
  • Year:
  • 2011

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Abstract

In this paper we present a methodology for the automatic detection of media-adventitia border (MAb) in Intravascular Ultrasound. A robust computation of the MAb is achieved through a holistic approach where the position of the MAb with respect to other tissues of the vessel is used. A learned quality measure assures that the resulting MAb is optimal with respect to all other tissues. The mean distance error computed through a set of 140 images is 0.2164 (±0.1326) mm.