Segmentation of shoulder MRI data for musculoskeletal model adaptation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43956271" target="_blank" >RIV/49777513:23520/19:43956271 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0007580701550160" target="_blank" >http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0007580701550160</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5220/0007580701550160" target="_blank" >10.5220/0007580701550160</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Segmentation of shoulder MRI data for musculoskeletal model adaptation

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Segmentation of shoulder MRI data for musculoskeletal model adaptation

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace<br>O - Projekt operacniho programu

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - (Volume 2)

ISBN

978-989-758-353-7

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

155-160

Název nakladatele

SCITEPRESS - Science and Technology Publications, Lda.

Místo vydání

Lodz University of Technology, Poland

Místo konání akce

Prague; Czech Republic

Datum konání akce

22. 2. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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