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

Bernhard Englmair; Christoph Leitner; Christian Baumgartner

doi:10.3233/SHTI200067

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

Bernhard Englmair^*, Christoph Leitner^*, Christian Baumgartner

^*Corresponding author for this work

Institute of Health Care Engineering with European Testing Center of Medical Devices (7180)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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 language	English
Title of host publication	dHealth 2020 - Biomedical Informatics for Health and Care
Subtitle of host publication	Proceedings of the 14th Health Informatics Meets Digital Health Conference
Editors	Gunter Schreier, Dieter Hayn, Alphons Eggerth
Place of Publication	Vienna, Austria
Pages	1-8
Number of pages	8
Volume	271
ISBN (Electronic)	9781643680842
DOIs	https://doi.org/10.3233/SHTI200067
Publication status	Published - 23 Jun 2020
Event	dHealth 2020 - Wien, Austria Duration: 19 May 2020 → 20 May 2020

Publication series

Name	Studies in Health Technology and Informatics
Volume	271
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	dHealth 2020
Country/Territory	Austria
City	Wien
Period	19/05/20 → 20/05/20

Keywords

Image processing
Speckle noise
Sticks filter
Ultrasound

ASJC Scopus subject areas

Health Information Management
Health Informatics
Biomedical Engineering

Fields of Expertise

Human- & Biotechnology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3233/SHTI200067Licence: CC BY-NC

Cite this

Englmair, B., Leitner, C., & Baumgartner, C. (2020). Improved Tracking of Muscle Tendon Junctions in Ultrasound Images using Speckle Reduction. In G. Schreier, D. Hayn, & A. Eggerth (Eds.), dHealth 2020 - Biomedical Informatics for Health and Care: Proceedings of the 14th Health Informatics Meets Digital Health Conference (Vol. 271, pp. 1-8). (Studies in Health Technology and Informatics; Vol. 271).. https://doi.org/10.3233/SHTI200067

Improved Tracking of Muscle Tendon Junctions in Ultrasound Images using Speckle Reduction. / Englmair, Bernhard; Leitner, Christoph ; Baumgartner, Christian.

dHealth 2020 - Biomedical Informatics for Health and Care: Proceedings of the 14th Health Informatics Meets Digital Health Conference. ed. / Gunter Schreier; Dieter Hayn; Alphons Eggerth. Vol. 271 Vienna, Austria, 2020. p. 1-8 (Studies in Health Technology and Informatics; Vol. 271).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Englmair, B, Leitner, C & Baumgartner, C 2020, Improved Tracking of Muscle Tendon Junctions in Ultrasound Images using Speckle Reduction. in G Schreier, D Hayn & A Eggerth (eds), dHealth 2020 - Biomedical Informatics for Health and Care: Proceedings of the 14th Health Informatics Meets Digital Health Conference. vol. 271, Studies in Health Technology and Informatics, vol. 271, Vienna, Austria, pp. 1-8, dHealth 2020, Wien, Austria, 19/05/20. https://doi.org/10.3233/SHTI200067

Englmair B, Leitner C , Baumgartner C. Improved Tracking of Muscle Tendon Junctions in Ultrasound Images using Speckle Reduction. In Schreier G, Hayn D, Eggerth A, editors, dHealth 2020 - Biomedical Informatics for Health and Care: Proceedings of the 14th Health Informatics Meets Digital Health Conference. Vol. 271. Vienna, Austria. 2020. p. 1-8. (Studies in Health Technology and Informatics). https://doi.org/10.3233/SHTI200067

Englmair, Bernhard ; Leitner, Christoph ; Baumgartner, Christian. / Improved Tracking of Muscle Tendon Junctions in Ultrasound Images using Speckle Reduction. dHealth 2020 - Biomedical Informatics for Health and Care: Proceedings of the 14th Health Informatics Meets Digital Health Conference. editor / Gunter Schreier ; Dieter Hayn ; Alphons Eggerth. Vol. 271 Vienna, Austria, 2020. pp. 1-8 (Studies in Health Technology and Informatics).

@inproceedings{b37bd75adc404c1d979dd384f7fc1ef4,

title = "Improved Tracking of Muscle Tendon Junctions in Ultrasound Images using Speckle Reduction",

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.",

keywords = "Image processing, Speckle noise, Sticks filter, Ultrasound",

author = "Bernhard Englmair and Christoph Leitner and Christian Baumgartner",

year = "2020",

month = jun,

day = "23",

doi = "10.3233/SHTI200067",

language = "English",

volume = "271",

series = "Studies in Health Technology and Informatics",

pages = "1--8",

editor = "Gunter Schreier and Dieter Hayn and Alphons Eggerth",

booktitle = "dHealth 2020 - Biomedical Informatics for Health and Care",

note = "dHealth 2020 ; Conference date: 19-05-2020 Through 20-05-2020",

}

TY - GEN

T1 - Improved Tracking of Muscle Tendon Junctions in Ultrasound Images using Speckle Reduction

AU - Englmair, Bernhard

AU - Leitner, Christoph

AU - Baumgartner, Christian

PY - 2020/6/23

Y1 - 2020/6/23

N2 - 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.

AB - 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.

KW - Image processing

KW - Speckle noise

KW - Sticks filter

KW - Ultrasound

UR - http://www.scopus.com/inward/record.url?scp=85087033295&partnerID=8YFLogxK

U2 - 10.3233/SHTI200067

DO - 10.3233/SHTI200067

M3 - Conference paper

VL - 271

T3 - Studies in Health Technology and Informatics

SP - 1

EP - 8

BT - dHealth 2020 - Biomedical Informatics for Health and Care

A2 - Schreier, Gunter

A2 - Hayn, Dieter

A2 - Eggerth, Alphons

CY - Vienna, Austria

T2 - dHealth 2020

Y2 - 19 May 2020 through 20 May 2020

ER -

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Fields of Expertise

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this