Article
Chemistry, Physical
Milos Lozo, Zeljko Penava, Ivo Lovricevic, Zlatko Vrljicak
Summary: This paper presents the standards and classification of compression stockings, and analyzes the structure parameters, elongation, and compression of moderate- and high-compression stockings. The findings suggest that the legs of compression stockings act as casings that impose compression on the leg and are often reinforced to withstand compression loads.
Article
Multidisciplinary Sciences
Maximilian Neidhardt, Robin Mieling, Marcel Bengs, Alexander Schlaefer
Summary: Robotic assistance in minimally invasive surgery has advantages but lacks force feedback, making accurate tool-tissue interaction force estimation a challenge. Image-based force estimation, using observed deformation and learning methods, offers a promising solution. In this work, optical coherence tomography is used to combine tissue deformation detection with shear wave elastography for accurate force estimation. A multi-input deep learning network processing local elasticity estimates and volumetric image data yields the best performance. The approach also shows generalization to other tissue properties.
SCIENTIFIC REPORTS
(2023)
Article
Engineering, Biomedical
Yushu Han, Jintao He, Yongtao Lu
Summary: The material properties of graduated compression stockings, specifically the Young's modulus in the wale direction and the Poisson's ratio, significantly influence the interfacial pressure at the lower limb-stocking interface. The pressure in the ankle section is less sensitive to variations in the Young's modulus in the knee section, but the pressures in the calf and knee sections show sensitivity to these variations. These findings are crucial for the design of GCS.
MEDICAL ENGINEERING & PHYSICS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hongjin Xiang, Wenwu Ling, Lin Ma, Lulu Yang, Tang Lin, Yan Luo
Summary: This study found clear variability between the sound touch elastography (STE) system and the supersonic shear imaging (SSI) system, with the variability increasing as the liver stiffness value (LSV) thresholds recommended by the Society of Radiologists in Ultrasound (SRU) rose. Gender and body-mass index (BMI) had little effect on intersystem variability.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Foucauld Chamming's, Chloe Hangard, Jean-Luc Gennisson, Caroline Reinhold, Laure S. Fournier
Summary: This study investigates the diagnostic accuracy of applying four levels of manual pressure in Shear Wave Elastography (SWE) of the breast and assesses inter-rater reliability. Results suggest that the application of compression leads to higher diagnostic performance with good interobserver agreement.
ACADEMIC RADIOLOGY
(2021)
Article
Engineering, Biomedical
Sedigheh S. Poul, Juvenal Ormachea, Gary R. Ge, Kevin J. Parker
Summary: Elastography researchers have utilized different rheological models to study the viscoelastic properties of soft tissues. However, it is unclear which model should be widely adopted within a theoretical framework. This study evaluated the performance of three rheological models on ex vivo bovine liver tissues and found that the KVFD model provided the most accurate representation of time and frequency data, and predicted the viscoelastic behavior of the liver accurately.
ACTA BIOMATERIALIA
(2022)
Article
Acoustics
Marion Bied, Jean-Luc Gennisson
Summary: Recent developments in elastography focus on quantifying new mechanical properties of tissues, exploring the application of acoustoelasticity theory in transversely isotropic (TI) media, and experimentally measuring the nonlinear elastic parameter A.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2021)
Article
Mechanics
Fulin Tong, Siwei Dong, Junyi Duan, Xianxu Yuan, Xinliang Li
Summary: This study investigates the effect of expansion on the characteristics of wall heat flux in a spatially developing supersonic turbulent boundary layer. The results show that expansion increases the characteristic length scales and convection velocity of the wall heat flux fluctuation. Furthermore, the effect of expansion on the flow structures associated with extreme positive and negative wall heat flux fluctuation events is analyzed. The study concludes that expansion influences the flow structures differently in these events.
Article
Engineering, Biomedical
Kishev Navindaran, John S. Kang, Kee Moon
Summary: The characterization of soft tissues is crucial in bioengineering and medical fields for applications such as regenerative medicine, robot-aided surgery, and surgical simulations. Various characterization techniques, including atomic force microscopy, compression testing, and tensile testing, have been used to determine mechanical properties. However, there are discrepancies in reported values due to differences in the accuracy of these methods.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2023)
Article
Materials Science, Textiles
Yongtao Lu, Daxing Zhang, Liangliang Cheng, Zhuoyue Yang, Junyan Li
Summary: This study investigated the mechanism of compression therapy using a highly anatomical three-dimensional finite element model. The results showed that external compression pressure significantly influenced the pressure at the skin-stocking interface, and that the volume reductions in the calf veins were not evenly distributed.
TEXTILE RESEARCH JOURNAL
(2021)
Article
Mechanics
Jiayu Wu, Guoliang Ma, Zhihua Ning, Hong Yuan
Summary: This study developed a shear-lag model to investigate the dynamic response of discontinuous biocomposites in soft tissues under different loading conditions. The results showed that both the loading rate and loading frequency significantly affect the dynamic response of the biocomposites. The model accurately predicted the damping properties and stress transfer in the materials.
MECHANICS OF TIME-DEPENDENT MATERIALS
(2023)
Article
Mechanics
Daniel J. O'Shea, Mario M. Attard, David C. Kellermann
Summary: Microscopic imaging techniques for soft biological tissues have advanced understanding of their microstructures, particularly the alignment and dispersion of fibrous constituents. This paper aims to extend hyperelasticity representation for anisotropic bodies using FOSTs to incorporate the effects of fiber dispersion. The framework provides fourteen generalised FOSTs for two-direction preferred hyperelasticity, including dispersed fiber families.
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
(2022)
Review
Nanoscience & Nanotechnology
Enming Song, Ya Huang, Ningge Huang, Yongfeng Mei, Xinge Yu, John A. Rogers
Summary: Microsystem technologies offer various capabilities for evaluating the mechanical properties of soft biological tissues, with potential applications in medical research and clinical diagnosis. Recent progress includes the development of tissue-compliant designs and improvements in assessing elastic moduli at different scales and depths. These technologies have clinical utility in monitoring tissue changes and identifying diseased tissues.
MICROSYSTEMS & NANOENGINEERING
(2022)
Review
Radiology, Nuclear Medicine & Medical Imaging
Guy Cloutier, Francois Destrempes, Francois Yu, An Tang
Summary: Quantitative ultrasound (QUS) is a technique that quantifies interactions between ultrasound and biological tissues, extracting fundamental physical properties of tissues for tissue characterization and imaging. Clinical applications are limited but promising, with potential for liver fibrosis, steatosis grading, and breast cancer characterization.
INSIGHTS INTO IMAGING
(2021)
Article
Computer Science, Interdisciplinary Applications
Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
Summary: The study proposed a novel soft-label dataset distillation method for medical data sharing, which can compress images, improve the efficiency of DCNN models, and achieve efficient and secure medical data sharing.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2022)
Review
Pharmacology & Pharmacy
Salvatore Campisi, Raja Jayendiran, Francesca Condemi, Magalie Viallon, Pierre Croisille, Avril Stephane
Summary: Guidelines for the treatment of aortic wall diseases are typically based on aortic diameter measurements, but recent scientific evidence suggests that biomechanics and hemodynamics play crucial roles in the development of aortic diseases. Wall shear stress is a key hemodynamics marker that can help interpret aortic wall remodeling and define personalized risk criteria. The use of Computational Fluid Dynamics and 4D Magnetic Resonance Imaging for assessing wall shear stress is a promising approach in predicting aortic tissue dysfunction.
CURRENT PHARMACEUTICAL DESIGN
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Kevin Moulin, Pierre Croisille, Magalie Viallon, Ilya A. Verzhbinsky, Luigi E. Perotti, Daniel B. Ennis
Summary: A new efficient pipeline combining microstructural cDTI and functional DENSE data was proposed to measure in vivo myofiber strain in healthy populations within 10 minutes per subject. The study found uniform transmural myofiber strain in healthy volunteers, suggesting its potential as a biomarker for evaluating local cardiomyocyte contractility in assessing cardiovascular dysfunction.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Engineering, Biomedical
Joseph Brunet, Baptiste Pierrat, Pierre Badel
Summary: The study found that the tensile strength of the medial layer is the most influential factor in the initiation and propagation of aortic dissection, and the geometry and location of the tear also play important roles in the evolution of the dissection. A larger and deeper initial tear increases the risk of aortic dissection.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2021)
Article
Engineering, Biomedical
Bastien Eydan, Baptiste Pierrat, Nicolas Curt, Hassan Zahouani, Jerome Molimard
Summary: The aim of this study was to develop a new device to study the mechanical interaction between medical devices and skin, and its effects on shear strain and friction behavior. The experiment results showed that skin surface conditioning had a significant impact on friction properties.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2022)
Article
Chemistry, Multidisciplinary
Tristan Maquart, Romain Noel, Guy Courbebaisse, Laurent Navarro
Summary: This paper introduces a novel method for simulating the behavior of solid objects using the Lattice Boltzmann Method, demonstrating its potential and advantages in calculating solid frameworks through comparative studies.
APPLIED SCIENCES-BASEL
(2022)
Review
Chemistry, Multidisciplinary
Andre Mourato, Rodrigo Valente, Jose Xavier, Moises Brito, Stephane Avril, Jose Cesar de Sa, Antonio Tomas, Jose Fragata
Summary: This paper provides a comprehensive review of computational modelling and simulations of blood vessel interaction in aortic aneurysms and dissection. Although computational models can provide clinicians with additional data, they are not widely implemented in clinical practice due to low accuracy, lengthy reporting time, and lack of numerical validation.
APPLIED SCIENCES-BASEL
(2022)
Article
Health Care Sciences & Services
Raphael Richert, Jean-Christophe Farges, Jean-Christophe Maurin, Jerome Molimard, Philippe Boisse, Maxime Ducret
Summary: This study aimed to classify the relative contributions of four biomechanical factors to the root stresses of the resected premolar. The results showed that the factors of preparation and bone height had a significant influence on root stresses, and neglecting the interactions between factors would result in missing nearly half of the biomechanical impact.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Article
Multidisciplinary Sciences
William A. R. Romero, Magalie Viallon, Joel Spaltenstein, Lorena Petrusca, Olivier Bernard, Loic Belle, Patrick Clarysse, Pierre Croisille
Summary: This paper introduces CMRSegTools, an open-source application software for the segmentation and quantification of myocardial infarct lesion. It provides access to state-of-the-art segmentation methods, enables easy integration of new algorithms, and facilitates standardized result sharing. The plug-in has been successfully used in several CMR imaging studies.
Article
Chemistry, Multidisciplinary
Woo-Suck Han, Jerome Molimard, Baptiste Pierrat, Romain Pannetier, Reynald Convert
Summary: A comparative study was conducted on eight different lumbar belts in the French market to evaluate their therapeutic effects and investigate the correlation between therapeutic and mechanical parameters. Numerical analyses using simplified 3D finite element models and mechanical testing were performed. The study found that the lumbar belt is more effective for patients with a thin morphology, mechanical values of vertebral disks and vertebrae are strongly correlated with the correction of lordosis angle, and the overall stiffness of the belt is an important parameter for applying pressure to the trunk.
APPLIED SCIENCES-BASEL
(2022)
Review
Medicine, General & Internal
Lucie Derycke, Stephane Avril, Antoine Millon
Summary: The endovascular technique is widely used in the first line treatment of complex aortic pathologies. The selection of a suitable stent-graft and the operator's experience play a crucial role in its clinical outcome. Numerical simulation provides a digital reproduction of endovascular interventions and can assist practitioners with decision making. This review discusses the basic principles and current literature of using numerical simulation for endovascular management of complex aortic diseases, and highlights its potential to revolutionize everyday clinical applications.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Medicine, General & Internal
Pierre-Eddy Dandrieux, Laurent Navarro, David Blanco, Alexis Ruffault, Christophe Ley, Antoine Bruneau, Joris Chapon, Karsten Hollander, Pascal Edouard
Summary: This study aims to analyze the relationship between the level of Injury Risk Estimation Feedback (I-REF) use and participation restriction in athletics. A prospective cohort study will be conducted over a 38-week athletics season, involving competitive athletics athletes in France. The study results will be disseminated in peer-reviewed journals and international scientific congresses.
Article
Biophysics
Antoine Naegel, Helene Ratiney, Jabrane Karkouri, Djahid Kennouche, Nicolas Royer, Jill M. Slade, Jerome Morel, Pierre Croisille, Magalie Viallon
Summary: In this second part of the paper, the impact of the advanced quality control pipeline on COVID-19 and multiple sclerosis patients is investigated. The results show that the pipeline can reduce data variability and affect the sample size and power of the study.
NMR IN BIOMEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yu Wang, Changyu Sun, Sona Ghadimi, Daniel C. Auger, Pierre Croisille, Magalie Viallon, Kenneth Mangion, Colin Berry, Christopher M. Haggerty, Linyuan Jing, Brandon K. Fornwalt, J. Jane Cao, Joshua Cheng, Andrew D. Scott, Pedro F. Ferreira, John N. Oshinski, Daniel B. Ennis, Kenneth C. Bilchick, Frederick H. Epstein
Summary: This study developed a three-dimensional convolutional neural network model for displacement and strain analysis of cardiac MRI. The model, trained with DENSE data, showed excellent performance in predicting intramyocardial displacement. Comparison with commercial feature tracking method (FT) demonstrated that StrainNet outperformed in global and segmental strain analysis.
RADIOLOGY-CARDIOTHORACIC IMAGING
(2023)
Review
Engineering, Biomedical
Joseph Brunet, Baptiste Pierrat, Pierre Badel
Summary: Aortic dissection is a life-threatening event with a poor outcome, involving complex phenomena that have been better understood in recent decades. However, the micro-mechanics behind the rupture events remains poorly described. Research has focused on understanding the influence of microstructure on the initiation and propagation of aortic dissection, leading to the development of multiscale models. This review aims to identify main advances and remaining questions in the field.
IEEE REVIEWS IN BIOMEDICAL ENGINEERING
(2021)
Proceedings Paper
Engineering, Biomedical
Jerome Molimard, Tristan Delettraz, Etienne Ojardias
Summary: This study developed a new wearable device to detect features related to low-back pain (LBP) and validated its accuracy. The use of Inertial Measurement Units (IMU) showed meaningful results in capturing LBP characteristics. Further clinical studies are needed to investigate the link between back-related features and LBP, especially the poorly documented hip & shoulder dissociation.
BIODEVICES: PROCEEDINGS OF THE 14TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES - VOL 1: BIODEVICES
(2021)
