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Authors: Regina Pohle-Fröhlich 1 ; Christoph Dalitz 1 ; Charlotte Richter 2 ; 3 ; Tobias Hahnen 1 ; Benjamin Stäudle 2 ; 3 and Kirsten Albracht 2 ; 3

Affiliations: 1 Institute for Pattern Recognition, Niederrhein University of Applied Sciences, Reinarzstr. 49, Krefeld, Germany ; 2 Department of Medical Engineering and Technomathematics, Aachen University of Applied Science, Germany ; 3 Institute of Biomechanics and Orthopaedics, German Sport University Cologne, Cologne, Germany

Keyword(s): Texture Direction, Orientation Angle, Gray Level Cooccurrence, Vesselness Filter, Projection Profile, Radon Transform.

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.

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Paper citation in several formats:
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; ISSN 2184-4321, SciTePress, pages 79-86. DOI: 10.5220/0008933900790086

@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},
issn={2184-4321},
}

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
IS - 2184-4321
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

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