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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Main Authors: Hideyuki AZEGAMI, Shinjiro ONO, Kenzen TAKEUCHI, Takahiro KIKUCHI, Yukihiro MICHIWAKI, Keigo HANYU, Tetsu KAMIYA
Format: Article
Language:English
Published: The Japan Society of Mechanical Engineers 2021-09-01
Series:Journal of Biomechanical Science and Engineering
Subjects:
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.
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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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