Prediction of the Biomechanical Effects of Compression Therapy by Finite Element Modeling and Ultrasound Elastography

Frauziols, Fanny; Molimard, Jérôme; Navarro, Laurent; Badel, Pierre; Viallon, Magalie; Testa, Rodolphe; Avril, Stéphane

doi:10.1109/tbme.2014.2378553

Cited by 18 publications

(34 citation statements)

References 37 publications

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“…In a previous study [1], the material properties of superficial soft tissues were measured using ultrasound elastography (USE). In another previous study [2], the material properties of the deep soft tissues were identified by an inverse method.…”

Section: Methodsmentioning

confidence: 99%

“…The same four volunteers (3 males and 1 female, mean age 27 years) than those of previous studies [1,2] are considered. On each of them, MRI scan and USE data were acquired, whereas a local compression test was also carried out on the right hand side calf.…”

Section: Data Acquisitionmentioning

confidence: 99%

“…On each of them, MRI scan and USE data were acquired, whereas a local compression test was also carried out on the right hand side calf. The experimental protocol is explained in details in [1,2].…”

Section: Data Acquisitionmentioning

confidence: 99%

“…The purpose of the US acquisition is threefold. First in B-mode and thanks to our system of image stitching [1], the internal details are acquired all around the calf up to a depth of about 3 cm. Second, in USE mode, the elastic properties are measured up to a depth of about 3 cm.…”

Section: Development Of the Fe Modelmentioning

confidence: 99%

“…Abstract This chapter presents a quick and efficient approach to perform patient-specific Finite-Element (FE) predictions of the human calf response under elastic compression. The reconstruction of patient-specific material properties of soft tissues is based on two methodologies described extensively in two previous papers [1,2]. After a detailed description of the implementation of this model, results obtained on four volunteers are presented.…”

mentioning

confidence: 99%

See 4 more Smart Citations

Subject-Specific Computational Prediction of the Effects of Elastic Compression in the Calf

Frauziols

Badel

Navarro

et al. 2017

Biomechanics of Living Organs

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Abstract This chapter presents a quick and efficient approach to perform patient-specific Finite-Element (FE) predictions of the human calf response under elastic compression. The reconstruction of patient-specific material properties of soft tissues is based on two methodologies described extensively in two previous papers [1,2]. After a detailed description of the implementation of this model, results obtained on four volunteers are presented. The deformed geometry predicted by the FE model is in very good agreement with the MRI scan of the same leg under elastic compression. Eventually, it is shown that elastic compression always induces a partial vein closure but the magnitude of vein closure depends strongly on the position of the vein, on the shape of the leg and on the material properties of surrounding soft tissues. Subject-specific computational prediction of the effects of elastic compression in the calf

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Section: Methodsmentioning

confidence: 99%

Section: Data Acquisitionmentioning

confidence: 99%

Section: Data Acquisitionmentioning

confidence: 99%

Section: Development Of the Fe Modelmentioning

confidence: 99%

mentioning

confidence: 99%

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Subject-Specific Computational Prediction of the Effects of Elastic Compression in the Calf

Frauziols

Badel

Navarro

et al. 2017

Biomechanics of Living Organs

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Analyzing soft tissue stiffness of human upper arms during physical dynamic and quasi‐static impacts in human–machine interaction

Rajaei

Fujikawa

Yamada

2023

Hum Ftrs & Erg Mfg Svc

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Knowledge of the changes in the behavior of human soft tissue stiffness during physical impact in human–machine interaction (HMI) plays a vital role in the development of biofidelity testing devices such as a human dummy. These testing devices are widely applied as an effective means to validate the safety of machinery during dynamic or static contact with humans in HMI. In this study, we assess changes in soft tissue stiffness in the upper arm of individuals under both dynamic (0.7 and 0.25 m/s) and quasi‐static (QS) impacts under a constrained contact condition. Three impactor shapes (cylindrical, cubic, and spherical) are used in this study. Impact experiments are conducted using impactors attached to a pendulum. The soft‐tissue displacement is determined using an ultrasound device. The impact force‐displacement curves illustrate the nonlinear behavior of the soft tissue stiffness under both dynamic and QS impacts. By utilizing the “Linear Mixed Model” statistical analysis, we found that changes in the impact velocity significantly influenced the changes in the nonlinear behavior of soft tissue stiffness while there was no significant effect of the changes in the impactor shape on the nonlinear behavior of the soft tissue stiffness. Additionally, we revealed that the changes in the soft tissue stiffness are influenced by the size of the contact area. Moreover, we demonstrated a range of changes in soft tissue stiffness for different impact velocities, which provide valuable information for developing future validation test devices in HMI, such as the design and evaluation of dummy skin.

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Hyperelasticity of Soft Tissues and Related Inverse Problems

Avril

2016

Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics

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International audienceIn this chapter, we are interested in the constitutive equations used to model macroscopically the mechanical function of soft tissues. After reviewing some basics about nonlinear finite–strain constitutive relations, we present recent developments of experimental biomechanics and inverse methods aimed at quantifying consti-tutive parameters of soft tissues. A focus is given to in vitro characterization of hyperelastic parameters based on full-field data that can be collected with digital image correlation systems during the experimental tests. The specific use of these data for membrane-like tissues is first illustrated through the example of bulge inflation tests carried out onto pieces of aortic aneurysms. Then an inverse method, based on the principle of virtual power, is introduced to estimate regional variations of material parameters for more general applications

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Prediction of the Biomechanical Effects of Compression Therapy by Finite Element Modeling and Ultrasound Elastography

Abstract: The discussion of this paper highlights the benefits of using elastography to reconstruct patient-specific FE models of soft tissues.

Cited by 18 publications

References 37 publications

Subject-Specific Computational Prediction of the Effects of Elastic Compression in the Calf

Subject-Specific Computational Prediction of the Effects of Elastic Compression in the Calf

Analyzing soft tissue stiffness of human upper arms during physical dynamic and quasi‐static impacts in human–machine interaction

Hyperelasticity of Soft Tissues and Related Inverse Problems

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