Estimation of Muscle Fascicle Orientation in Ultrasonic Images

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

doi:10.5220/0008933900790086

Estimation of Muscle Fascicle Orientation in Ultrasonic Images

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

^*Corresponding author for this work

Publication: Chapter in Book/Report/Conference proceeding › Conference contribution - Article for conference › Research › peer-review

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.

Original language	English
Title of host publication	VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications : proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications : Valletta, Malta, February 27-29, 2019
Number of pages	8
Volume	5
Place of Publication	Sétubal
Publisher	Scitepress
Publication date	2020
Pages	79-86
ISBN (Print)	978-989-758-402-2
DOIs	https://doi.org/10.5220/0008933900790086
Publication status	Published - 2020
Event	International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Valletta, Malta Duration: 27.02.2020 → 29.02.2020 Conference number: 15

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10.5220/0008933900790086

1 Journal articles

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Richter, C., Braunstein, B., Staeudle, B., Attias, J., Suess, A., Weber, T., Mileva, K. N., Rittweger, J., Green, D. A. & Albracht, K., 18.01.2021, In: Frontiers in Sports and Active Living. 2, p. 1-9 9 p., 614559.
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Citation

Pohle-Fröhlich., R., Dalitz., C., Richter., C., Hahnen., T., Stäudle, B., & Albracht., K. (2020). Estimation of Muscle Fascicle Orientation in Ultrasonic Images. In VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications : Valletta, Malta, February 27-29, 2019 (Vol. 5, pp. 79-86). (VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; Vol. 5). Scitepress. https://doi.org/10.5220/0008933900790086

Pohle-Fröhlich., Regina ; Dalitz., Christoph ; Richter., Charlotte et al. / Estimation of Muscle Fascicle Orientation in Ultrasonic Images. VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications : Valletta, Malta, February 27-29, 2019. Vol. 5 Sétubal : Scitepress, 2020. pp. 79-86 (VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications).

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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.",

keywords = "Gray Level Cooccurrence, Orientation Angle, Projection Profile, Radon Transform, Texture Direction, Vesselness Filter",

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Pohle-Fröhlich., R, Dalitz., C, Richter., C, Hahnen., T, Stäudle, B & Albracht., K 2020, Estimation of Muscle Fascicle Orientation in Ultrasonic Images. in VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications : Valletta, Malta, February 27-29, 2019. vol. 5, VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, vol. 5, Scitepress, Sétubal, pp. 79-86, International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Valletta, Malta, 27.02.20. https://doi.org/10.5220/0008933900790086

Estimation of Muscle Fascicle Orientation in Ultrasonic Images. / Pohle-Fröhlich., Regina; Dalitz., Christoph; Richter., Charlotte et al.
VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications : Valletta, Malta, February 27-29, 2019. Vol. 5 Sétubal: Scitepress, 2020. p. 79-86 (VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; Vol. 5).

Publication: Chapter in Book/Report/Conference proceeding › Conference contribution - Article for conference › Research › peer-review

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AU - Pohle-Fröhlich., Regina

AU - Dalitz., Christoph

AU - Richter., Charlotte

AU - Hahnen., Tobias

AU - Stäudle, Benjamin

AU - Albracht., Kirsten

N1 - Conference code: 15

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AB - 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.

KW - Gray Level Cooccurrence

KW - Orientation Angle

KW - Projection Profile

KW - Radon Transform

KW - Texture Direction

KW - Vesselness Filter

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Pohle-Fröhlich. R, Dalitz. C, Richter. C, Hahnen. T, Stäudle B , Albracht. K. Estimation of Muscle Fascicle Orientation in Ultrasonic Images. In VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications : Valletta, Malta, February 27-29, 2019. Vol. 5. Sétubal: Scitepress. 2020. p. 79-86. (VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications). doi: 10.5220/0008933900790086

Estimation of Muscle Fascicle Orientation in Ultrasonic Images

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