@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",
}