Estimation of Muscle Fascicle Orientation in Ultrasonic Images

Regina Pohle-Fröhlich, Christoph Dalitz, Charlotte Richter, Charlotte Richter, Tobias Hahnen, Benjamin Stäudle, Benjamin Stäudle, Kirsten Albracht, Kirsten Albracht

2020

Abstract

We compare four different algorithms for automatically estimating the muscle fascicle angle from ultrasonic images: the vesselness filter, the Radon transform, the projection profile method and the gray level cooccurence matrix (GLCM). The algorithm results are compared to ground truth data generated by three different experts on 425 image frames from two videos recorded during different types of motion. The best agreement with the ground truth data was achieved by a combination of pre-processing with a vesselness filter and measuring the angle with the projection profile method. The robustness of the estimation is increased by applying the algorithms to subregions with high gradients and performing a LOESS fit through these estimates.

Paper Citation

in Harvard Style

Pohle-Fröhlich R., Dalitz C., Richter C., Hahnen T., Stäudle B. and Albracht K. (2020). Estimation of Muscle Fascicle Orientation in Ultrasonic Images. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP; ISBN 978-989-758-402-2, SciTePress, pages 79-86. DOI: 10.5220/0008933900790086

in Bibtex Style

@conference{visapp20,
author={Regina Pohle-Fröhlich and Christoph Dalitz and Charlotte Richter and Tobias Hahnen and Benjamin Stäudle and Kirsten Albracht},
title={Estimation of Muscle Fascicle Orientation in Ultrasonic Images},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP},
year={2020},
pages={79-86},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008933900790086},
isbn={978-989-758-402-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP
TI - Estimation of Muscle Fascicle Orientation in Ultrasonic Images
SN - 978-989-758-402-2
AU - Pohle-Fröhlich R.
AU - Dalitz C.
AU - Richter C.
AU - Hahnen T.
AU - Stäudle B.
AU - Albracht K.
PY - 2020
SP - 79
EP - 86
DO - 10.5220/0008933900790086
PB - SciTePress