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 paper

Abstract

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
Pages1-8
Number of pages8
Volume271
ISBN (Electronic)9781643680842
DOIs
Publication statusPublished - 23 Jun 2020
EventdHealth 2020 - Wien, Austria
Duration: 19 May 202020 May 2020

Publication series

NameStudies in Health Technology and Informatics
Volume271
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

ConferencedHealth 2020
CountryAustria
CityWien
Period19/05/2020/05/20

Keywords

  • 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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