Improved Tracking of Muscle Tendon Junctions in Ultrasound Images using Speckle Reduction

Bernhard Englmair*, Christoph Leitner*, Christian Baumgartner

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


Ultrasound imaging enables in-vivo investigations of muscle and tendon behaviour during human movement. Individual contributions of muscles and tendons to the behaviour of the whole muscle-tendon unit during locomotion are versatile. Therefore, movements of distinct landmarks, such as muscle tendon junctions are recorded and tracked in order to investigate internal dynamics of the muscle-tendon complex. In this study, we use a semi-automatic tracking method based on image segmentation and investigate how tracking accuracy can be improved using a sticks filter. We demonstrate that a speckle reduction decreases the root-mean-square error of the tracking result by up to 78.1%, depending on the chosen window size of the sticks filter.

Original languageEnglish
Title of host publicationdHealth 2020 - Biomedical Informatics for Health and Care
Subtitle of host publicationProceedings of the 14th Health Informatics Meets Digital Health Conference
EditorsGunter Schreier, Dieter Hayn, Alphons Eggerth
Place of PublicationVienna, Austria
Number of pages8
ISBN (Electronic)9781643680842
Publication statusPublished - 23 Jun 2020
EventdHealth 2020 - Wien, Austria
Duration: 19 May 202020 May 2020

Publication series

NameStudies in Health Technology and Informatics
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365


ConferencedHealth 2020


  • Image processing
  • Speckle noise
  • Sticks filter
  • Ultrasound

ASJC Scopus subject areas

  • Health Information Management
  • Health Informatics
  • Biomedical Engineering

Fields of Expertise

  • Human- & Biotechnology

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