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.

^*Korrespondierende*r Autor*in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag - Aufsatz in Konferenzband › Forschung › Begutachtung

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.

Originalsprache	Englisch
Titel	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
Seitenumfang	8
Band	5
Erscheinungsort	Sétubal
Herausgeber (Verlag)	Scitepress
Erscheinungsdatum	2020
Seiten	79-86
ISBN (Print)	978-989-758-402-2
DOIs	https://doi.org/10.5220/0008933900790086
Publikationsstatus	Veröffentlicht - 2020
Veranstaltung	International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Valletta, Malta Dauer: 27.02.2020 → 29.02.2020 Konferenznummer: 15

Fachgebiete und Schlagwörter

Gray Level Cooccurrence
Orientation Angle
Projection Profile
Radon Transform
Texture Direction
Vesselness Filter

Zugriff auf Dokument

10.5220/0008933900790086

1 Zeitschriftenaufsätze

Gastrocnemius Medialis Contractile Behavior Is Preserved During 30% Body Weight Supported Gait Training
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, S. 1-9 9 S., 614559.
Publikation: Beitrag in Fachzeitschrift › Zeitschriftenaufsätze › Forschung › Begutachtung

Open Access

Zitation

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 (Band 5, S. 79-86). (VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; Band 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. Band 5 Sétubal : Scitepress, 2020. S. 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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title = "Estimation of Muscle Fascicle Orientation in Ultrasonic Images",

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",

author = "Regina Pohle-Fr{\"o}hlich. and Christoph Dalitz. and Charlotte Richter. and Tobias Hahnen. and Benjamin St{\"a}udle and Kirsten Albracht.",

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language = "English",

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booktitle = "VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications",

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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. Bd. 5, VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Bd. 5, Scitepress, Sétubal, S. 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. Band 5 Sétubal: Scitepress, 2020. S. 79-86 (VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; Band 5).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag - Aufsatz in Konferenzband › Forschung › Begutachtung

TY - CHAP

T1 - Estimation of Muscle Fascicle Orientation in Ultrasonic Images

AU - Pohle-Fröhlich., Regina

AU - Dalitz., Christoph

AU - Richter., Charlotte

AU - Hahnen., Tobias

AU - Stäudle, Benjamin

AU - Albracht., Kirsten

N1 - Conference code: 15

PY - 2020

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N2 - 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.

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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DO - 10.5220/0008933900790086

M3 - Conference contribution - Article for conference

SN - 978-989-758-402-2

VL - 5

T3 - VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

SP - 79

EP - 86

BT - VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

PB - Scitepress

CY - Sétubal

T2 - International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

Y2 - 27 February 2020 through 29 February 2020

ER -

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. Band 5. Sétubal: Scitepress. 2020. S. 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

Abstract

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