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Fully-Automatic Method for Assessment of Flow-Mediated Dilation

  • Bartosz ZielińskiEmail author
  • Agata Dróżdż
  • Marzena Frołow
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9972)

Abstract

The most popular method for assessment the endothelial function, called flow-mediated dilation, is based on monitoring how the brachial artery diameter changes in hyperemia state. All of the existing methods that assess FMD are exceedingly time consuming, as they require supervising analysis of the whole video. The presented method fully-automatically analyzes the videos and returns the FMD value using region of interest (ROI) defined by the operator. The main contributions of this paper are: minimizing inter and intra-observer variability; eliminating supervision from the analysis; applying more informative techniques than edge detectors; providing dataset which can be used by other researchers to test their fully-automatic methods.

Keywords

Ultrasound videos Flow-mediated dilation Computer-aided diagnosis Machine learning Computer vision Line descriptor 

Notes

Acknowledgement

Dataset used in this paper was acquired from Jagiellonian Centre for Experimental Therapeutics (JCET) at Jagiellonian University in Kraków, Poland. The ultrasound videos were obtained during the study supported by European Union from the resources of the European Regional Development Fund under the Innovative Economy Programme (grant coordinated by JCET-UJ, No POIG. 01.01.02-00-069/09). We gratefully acknowledge the support from Prof. Stefan Chłopicki that were instrumental to carry out this study.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Bartosz Zieliński
    • 1
    Email author
  • Agata Dróżdż
    • 2
  • Marzena Frołow
    • 2
  1. 1.Institute of Computer Science and Computer Mathematics, Faculty of Mathematics and Computer ScienceJagiellonian UniversityKrakówPoland
  2. 2.Jagiellonian Centre for Experimental Therapeutics (JCET)Jagiellonian UniversityKrakówPoland

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