Identification of muscle activity in tongue motion during swallowing through medical image data
This paper presents a formulation to identify muscle activities from the variation in shapes of organs during swallowing. We assume that each organ consists of a three-dimensional hyperelastic body, and the contraction movement of the muscle is caused by a contractive inelastic stress in the organ....
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Format: | Article |
Language: | English |
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The Japan Society of Mechanical Engineers
2021-09-01
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Series: | Journal of Biomechanical Science and Engineering |
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Online Access: | https://www.jstage.jst.go.jp/article/jbse/17/1/17_21-00254/_pdf/-char/en |
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author | Hideyuki AZEGAMI Shinjiro ONO Kenzen TAKEUCHI Takahiro KIKUCHI Yukihiro MICHIWAKI Keigo HANYU Tetsu KAMIYA |
author_facet | Hideyuki AZEGAMI Shinjiro ONO Kenzen TAKEUCHI Takahiro KIKUCHI Yukihiro MICHIWAKI Keigo HANYU Tetsu KAMIYA |
author_sort | Hideyuki AZEGAMI |
collection | DOAJ |
description | This paper presents a formulation to identify muscle activities from the variation in shapes of organs during swallowing. We assume that each organ consists of a three-dimensional hyperelastic body, and the contraction movement of the muscle is caused by a contractive inelastic stress in the organ. A function distributed in the organ domain to control the magnitude of the inelastic stress is chosen as a design variable in the same manner as the density in the topology optimization problem of density variation type. The identification problem is formulated as a problem of determining the design variable that minimizes an objective cost function defined by the squared L2 norm of the reaction force in the normal direction on the boundary when an enforced displacement to fit the varied boundary of the organ and the inelastic stress modeling the muscle activity are applied. The finite deformation problem of the hyperelastic body is analyzed using the finite element method. The direction of the muscle fiber is assumed to be the direction of the minimum principal stress obtained as the solution to the finite deformation problem. The solution to the identification problem is presented based on a scheme using the H1 gradient method for the topology optimization problem of density variation type. A numerical example using a previously developed model of the tongue is introduced to demonstrate the effectiveness of the proposed approach. |
first_indexed | 2024-04-12T09:09:10Z |
format | Article |
id | doaj.art-69c8d90ae1984f68bbcc90f1e0912fc9 |
institution | Directory Open Access Journal |
issn | 1880-9863 |
language | English |
last_indexed | 2024-04-12T09:09:10Z |
publishDate | 2021-09-01 |
publisher | The Japan Society of Mechanical Engineers |
record_format | Article |
series | Journal of Biomechanical Science and Engineering |
spelling | doaj.art-69c8d90ae1984f68bbcc90f1e0912fc92022-12-22T03:39:00ZengThe Japan Society of Mechanical EngineersJournal of Biomechanical Science and Engineering1880-98632021-09-0117121-0025421-0025410.1299/jbse.21-00254jbseIdentification of muscle activity in tongue motion during swallowing through medical image dataHideyuki AZEGAMI0Shinjiro ONO1Kenzen TAKEUCHI2Takahiro KIKUCHI3Yukihiro MICHIWAKI4Keigo HANYU5Tetsu KAMIYA6Graduate School of Informatics, Nagoya UniversityGraduate School of Informatics, Nagoya UniversityFaculty of Engineering and Design, Kagawa UniversityMeiji Co., Ltd.Japanese Red Cross Musashino HospitalMeiji Co., Ltd.Meiji Co., Ltd.This paper presents a formulation to identify muscle activities from the variation in shapes of organs during swallowing. We assume that each organ consists of a three-dimensional hyperelastic body, and the contraction movement of the muscle is caused by a contractive inelastic stress in the organ. A function distributed in the organ domain to control the magnitude of the inelastic stress is chosen as a design variable in the same manner as the density in the topology optimization problem of density variation type. The identification problem is formulated as a problem of determining the design variable that minimizes an objective cost function defined by the squared L2 norm of the reaction force in the normal direction on the boundary when an enforced displacement to fit the varied boundary of the organ and the inelastic stress modeling the muscle activity are applied. The finite deformation problem of the hyperelastic body is analyzed using the finite element method. The direction of the muscle fiber is assumed to be the direction of the minimum principal stress obtained as the solution to the finite deformation problem. The solution to the identification problem is presented based on a scheme using the H1 gradient method for the topology optimization problem of density variation type. A numerical example using a previously developed model of the tongue is introduced to demonstrate the effectiveness of the proposed approach.https://www.jstage.jst.go.jp/article/jbse/17/1/17_21-00254/_pdf/-char/enmuscle activityidentification problemhyperelastic bodyinitial stressfinite element methodtopology optimization of density typeh1 gradient method |
spellingShingle | Hideyuki AZEGAMI Shinjiro ONO Kenzen TAKEUCHI Takahiro KIKUCHI Yukihiro MICHIWAKI Keigo HANYU Tetsu KAMIYA Identification of muscle activity in tongue motion during swallowing through medical image data Journal of Biomechanical Science and Engineering muscle activity identification problem hyperelastic body initial stress finite element method topology optimization of density type h1 gradient method |
title | Identification of muscle activity in tongue motion during swallowing through medical image data |
title_full | Identification of muscle activity in tongue motion during swallowing through medical image data |
title_fullStr | Identification of muscle activity in tongue motion during swallowing through medical image data |
title_full_unstemmed | Identification of muscle activity in tongue motion during swallowing through medical image data |
title_short | Identification of muscle activity in tongue motion during swallowing through medical image data |
title_sort | identification of muscle activity in tongue motion during swallowing through medical image data |
topic | muscle activity identification problem hyperelastic body initial stress finite element method topology optimization of density type h1 gradient method |
url | https://www.jstage.jst.go.jp/article/jbse/17/1/17_21-00254/_pdf/-char/en |
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