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Authors: Tomáš Ryba and Zdeněk Krňoul

Affiliation: Department of Cybernetics, University of West Bohemia, Univerzitni 8, Pilsen, Czech Republic

Keyword(s): Image Segmentation, MRI, Medical Imaging, Deltoid Muscle, Humerus, Clavicle, Scapula.

Abstract: Applying image processing techniques to medical images has already brought many useful applications. This work is focused on using these methods in the process of adapting a musculoskeletal model of the shoulder joint. Comparing the model of healthy individuals and the patient with joint damage leads to a subject-specific convalescence treatment. This work describes the procedure for segmentation of magnetic resonance imaging (MRI) of the shoulder joint. Firstly three bones inside the shoulder area: humerus, clavicle, scapula are identified and thereby it provides initial reference objects. A major step is the segmentation of the deltoid muscle needed for the subsequent adaptation of the musculoskeletal model. This step is challenging in terms of image processing due to the closeness of soft tissues, which are almost identical in intensity and the boundaries between them are often barely visible. The approach to resolving this problem is described and possible improvements and future work are described. (More)

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Paper citation in several formats:
Ryba, T. and Krňoul, Z. (2019). Segmentation of Shoulder MRI Data for Musculoskeletal Model Adaptation. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - BIOIMAGING; ISBN 978-989-758-353-7; ISSN 2184-4305, SciTePress, pages 155-160. DOI: 10.5220/0007580701550160

@conference{bioimaging19,
author={Tomáš Ryba. and Zdeněk Krňoul.},
title={Segmentation of Shoulder MRI Data for Musculoskeletal Model Adaptation},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - BIOIMAGING},
year={2019},
pages={155-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007580701550160},
isbn={978-989-758-353-7},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - BIOIMAGING
TI - Segmentation of Shoulder MRI Data for Musculoskeletal Model Adaptation
SN - 978-989-758-353-7
IS - 2184-4305
AU - Ryba, T.
AU - Krňoul, Z.
PY - 2019
SP - 155
EP - 160
DO - 10.5220/0007580701550160
PB - SciTePress

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