Article
Nuclear Science & Technology
Jang Min Park, Kukhee Lim
Summary: This study investigates the impact of two- and three-dimensional finite element models on the failure of the lower head of a reactor pressure vessel (RPV). The findings suggest that the three-dimensional effect is significant for determining the failure location, while the non-uniformity of thickness distribution and thermal load also have a notable influence on failure assessment. The thermal load, in particular, has the most significant effect on failure location.
NUCLEAR ENGINEERING AND TECHNOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Nattawood Prasartthong, Julaluk Carmai
Summary: This study investigated the safety performance of children's helmets using a simplified model and found that the use of aluminum foam can enhance the mitigation of linear and rotational accelerations. The friction coefficient has a significant effect on rotational acceleration, while liner thickness mainly influences linear acceleration. By reducing friction at the helmet surface, the risk of brain concussion and diffusional injury can be alleviated.
APPLIED SCIENCES-BASEL
(2022)
Article
Public, Environmental & Occupational Health
Jonas Osth, Katarina Bohman, Lotta Jakobsson
Summary: The aim of this study was to evaluate head injury criteria by assessing their correlation to brain strain in a Finite Element (FE) head model. The study found that the brain surrogate model criteria, DAMAGE and CIBIC, were the most effective in capturing the head model response. BrIC, on the other hand, had lower correlation to the head model response. This study supports the use of DAMAGE and CIBIC as brain injury criteria in vehicle crash test conditions.
TRAFFIC INJURY PREVENTION
(2023)
Article
Ergonomics
Mariusz Ptak, Johannes Wilhelm, Marek Sawicki, Mateusz Dymek, Fabio A. O. Fernandes, Helmuth Kristen, Emma Garatea
Summary: The paper discusses a significant accident type involving children in bicycle seats - the bicycle fall over. This type of accident often occurs at low speeds and even when the bicycle is stationary, usually due to a momentary lack of attention from the accompanying adult. The study emphasizes the potential life-threatening head trauma and highlights the importance of considering neck bending injuries in safety assessments.
JOURNAL OF SAFETY RESEARCH
(2023)
Article
Biophysics
Natalia Lindgren, Mikkel J. Henningsen, Christina Jacobsen, Chiara Villa, Svein Kleiven, Xiaogai Li
Summary: Traumatic head injuries are still a major cause of death and disability globally, and the mechanics of cranial bone and its impact tolerance are unclear. This study proposed a strain-rate-dependent material model for cranial bone and applied it to subject-specific Finite Element head models to predict skull fractures in real-world fall accidents. The predicted fracture patterns matched well with CT scans and autopsy reports, showing the potential of accurately predicting linear fracture patterns.
BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
(2023)
Article
Mechanics
Xiaorui Xu, Yu-Xin Ren
Summary: An improved finite volume scheme based on variational reconstruction and function enrichment is proposed in this paper. By incorporating the law-of-the-wall into the variational reconstruction, the proposed method accurately resolves turbulent flow on coarser grids and resolves the turbulent flow within the boundary layer instead of modeling it.
Article
Biotechnology & Applied Microbiology
He Wu, Yong Han, Di Pan, Bingyu Wang, Hongwu Huang, Koji Mizuno, Robert Thomson
Summary: This study aimed to investigate the injury mechanisms and establish head AIS 4+ injury tolerances for elderly VRUs. By studying 30 accidents involving elderly VRUs, the correlation between injury predictors and injury risk was developed, indicating good predictive power of the models. The calculated thresholds for head injury for kinematic criteria were generally lower than previous literature studies, while brain tissue level criteria had similar thresholds except for coup pressure.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2021)
Article
Engineering, Mechanical
Konstantinos G. Lyras, Jack Lee
Summary: The study evaluated the performance of various CFD solvers for modeling arterial flow in stenosed arteries. The accuracy of solver predictions varied depending on the complexity of artery geometries, with disagreements growing in more complex scenarios. The choice of CFD solver may impact clinical recommendations for diseased arteries, highlighting the importance of considering application-specific factors.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2021)
Article
Computer Science, Interdisciplinary Applications
Ziyang He, Siyi Huang, Tao Ji, Xiaodong Tang, Rongli Yang, Wei Guo
Summary: The relationship between plate configuration and initial stability for femoral intercalary reconstruction using allo-/autograft was explored in this study. Finite element simulations showed that the configurations of lateral bridging plate + medial adjuvant plate (LP + MAP) and lateral bridging plate + medial bridging plate (LP + MP) exhibited superior stability in terms of axial compression and torsion load.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2022)
Article
Engineering, Mechanical
Jianjun Li, Tianyu Chen, Tingting Chen, Zhong Yun, Xiaodong Xia
Summary: A finite element model was established to investigate the deformation of bimodal structured copper during scratch test, showing that bimodal nanostructures can achieve a lower coefficient of friction by adjusting the grain size and volume fraction of the hard and soft domains.
The study found that the heterogeneity of bimodal nanostructures can effectively restrain strain localization, leading to reduced coefficient of friction and a better balance of high strength and low COF.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2022)
Article
Clinical Neurology
Karl A. Zimmerman, Janie Cournoyer, Helen Lai, Samuel B. Snider, David Fischer, Simon Kemp, Clara Karton, Thomas B. Hoshizaki, Mazdak Ghajari, David J. Sharp
Summary: By studying videos of concussions in professional football games, Zimmerman et al. found that head impacts leading to loss of consciousness are associated with higher forces and deformation in brainstem regions involved in arousal. The biomechanical effect of impacts can be estimated using computational models of strain within the brain. This research aims to understand why similar head impacts produce distinct neurological effects.
Article
Materials Science, Composites
Jagan Selvaraj, Luiz F. Kawashita, Mehdi Yasaee, Gordon Kalwak, Stephen R. Hallett
Summary: A novel cohesive element formulation is proposed for modelling composite delamination, offering increased stability and requiring fewer elements. This new formulation combines nodal rotations and multiple integration points to improve the accuracy of delamination propagation simulation.
COMPOSITES SCIENCE AND TECHNOLOGY
(2021)
Article
Ergonomics
Fang Wang, Junzhi Wu, Lin Hu, Chao Yu, Bingyu Wang, Xiaoqun Huang, Karol Miller, Adam Wittek
Summary: This study analyzed the head protection effectiveness of nine different helmets in two typical cycling accidents. The results showed that helmets can reduce the risk of head injury for cyclists, but they may increase rotational acceleration of the head. The predictions obtained using different injury criteria varied.
JOURNAL OF SAFETY RESEARCH
(2022)
Review
Biology
Gustavo P. Carmo, Jeroen Grigioni, Fabio A. O. Fernandes, Ricardo J. Alves de Sousa
Summary: This article aims to provide readers with a concise description of the main contributions in the field of traumatic brain injuries and neurodegenerative outcomes for women, especially related to chronic traumatic encephalopathy. It also reviews the numerical models created to address these issues and discusses the use (or lack of use) of sex-specific validation experiments. The article highlights the importance of considering sex differences in both direct injuries and the conditions that precede and follow traumatic events.
Article
Engineering, Mechanical
Huaidong Yang, Itzhak Green
Summary: This study develops a comprehensive adhesion model using finite element analysis for a deformable hemisphere under fretting conditions. The model combines normal adhesion based on JKR model and tangential resistance based on shear strength and surface free energy, implemented through interfacial bilinear springs. The research shows that while spring breakage may be gradual or avalanching, the tangential resistance effect is robust and not affected by meshing or spring settings, with significant plastic deformation and energy losses observed.
TRIBOLOGY INTERNATIONAL
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Nadege Corbin, Elodie Breton, Michel de Mathelin, Jonathan Vappou
MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
(2017)
Article
Engineering, Biomedical
Simon Chatelin, Isabelle Charpentier, Nadege Corbin, Laurence Meylheuc, Jonathan Vappou
PHYSICS IN MEDICINE AND BIOLOGY
(2016)
Article
Engineering, Biomedical
M. Bilasse, S. Chatelin, G. Altmeyer, A. Marouf, J. Vappou, I. Charpentier
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING
(2018)
Article
Oncology
Fabrice Bing, Jonathan Vappou, Michel de Mathelin, Afshin Gangi
INTERNATIONAL JOURNAL OF HYPERTHERMIA
(2019)
Article
Radiology, Nuclear Medicine & Medical Imaging
Fabrice Bing, Jonathan Vappou, Elodie Breton, Iulian Enescu, Julien Garnon, Afshin Gangi
JOURNAL OF VASCULAR AND INTERVENTIONAL RADIOLOGY
(2019)
Article
Radiology, Nuclear Medicine & Medical Imaging
Kisoo Kim, Elodie Breton, Afshin Gangi, Jonathan Vappou
MAGNETIC RESONANCE IN MEDICINE
(2020)
Article
Biophysics
Simon Chatelin, Raoul Pop, Celine Giraudeau, Khalid Ambarki, Ning Jin, Francois Severac, Elodie Breton, Jonathan Vappou
Summary: The study examines the impact of portal vein occlusion on liver mechanical properties, finding that the obstruction decreases liver stiffness and could potentially lead to misdiagnosis with elastography.
NMR IN BIOMEDICINE
(2021)
Article
Physics, Applied
Diana Andres, Jonathan Vappou, Noe Jimenez, Francisco Camarena
Summary: This study experimentally demonstrates how acoustic holograms can generate controlled thermal patterns in absorbing media at ultrasonic frequencies, opening up new possibilities for biomedical applications.
APPLIED PHYSICS LETTERS
(2022)
Article
Multidisciplinary Sciences
Paolo Cabras, Pierre Auloge, Fabrice Bing, Pramod Prabhakar Rao, Stephanie Hoarau, Erik Dumont, Alexandre Durand, Benjamin Maurin, Benoit Wach, Loic Cuvillon, Elodie Breton, Afshin Gangi, Jonathan Vappou
Summary: Magnetic Resonance-guided High Intensity focused Ultrasound (MRgHIFU) is a non-invasive thermal ablation therapy used for the treatment of musculoskeletal tumors. This study presents a modular MRgHIFU device that allows precise positioning of the ultrasound transducer. The targeting accuracy was evaluated and demonstrated successful treatment in a patient suffering from bone metastasis. The described system is a promising and cost-effective solution for musculoskeletal tumor therapy.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Biomedical
Ounay Ishak, Elodie Breton, Karine Choquet, Anne Josset, Paolo Cabras, Jonathan Vappou
Summary: The paper proposes an all-in-one method for monitoring high intensity focused ultrasound (HIFU) thermal ablations using magnetic resonance-supersonic shear wave imaging (MR-SSI) and proton resonance frequency shift (PRFS). The method allows simultaneous monitoring of temperature and elasticity changes, ensuring the efficacy and accuracy of HIFU therapies.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Review
Engineering, Biomedical
Paul Mondou, Sebastien Meriaux, Florent Nageotte, Jonathan Vappou, Anthony Novell, Benoit Larrat
Summary: This review summarizes the current state of in vitro and in vivo cavitation control algorithms for blood-brain barrier (BBB) permeabilization using microbubbles (MB) and focused ultrasound (FUS). It describes the different cavitation states, the indexes used for ultrasonic monitoring, and the various control strategies for BBB permeabilization.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Karine Choquet, Jonathan Vappou, Paolo Cabras, Ounay Ishak, Afshin Gangi, Elodie Breton
Summary: This study introduces a non-invasive MR-Acoustic Radiation Force Imaging (ARFI)-based elastography method that provides both the local shear modulus and temperature maps for the monitoring of High Intensity Focused Ultrasound (HIFU) therapy.
MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
(2023)
Proceedings Paper
Acoustics
Diana Andres, Jonathan Vappou, Noe Jimenez, Francisco Camarena
Summary: This study demonstrates the effectiveness of acoustic holographic-modulated high-intensity focused ultrasound in inducing large-volume hyperthermia in gelatin phantoms, with the holographic lens showing the capability to generate a wider and more uniform heated region.
INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS 2021)
(2021)
Proceedings Paper
Engineering, Biomedical
Gaelle Thomas, Laurent Barbe, Benoit Larrat, Pauline Agou, Jonathan Vappou, Florent Nageotte
42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20
(2020)
Article
Engineering, Biomedical
Jonathan Vappou, Pierre Bour, Fabrice Marquet, Valery Ozenne, Bruno Quesson
PHYSICS IN MEDICINE AND BIOLOGY
(2018)
Article
Computer Science, Interdisciplinary Applications
Alireza Karimi, Reza Razaghi, Siddharth Daniel D'costa, Saeed Torbati, Sina Ebrahimi, Seyed Mohammadali Rahmati, Mary J. Kelley, Ted S. Acott, Haiyan Gong
Summary: This study investigated the biomechanical properties of the conventional aqueous outflow pathway using fluid-structure interaction. The results showed that the distribution of aqueous humor wall shear stress within this pathway is not uniform, which may contribute to our understanding of the underlying selective mechanisms.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Robert V. Bergen, Jean-Francois Rajotte, Fereshteh Yousefirizi, Arman Rahmim, Raymond T. Ng
Summary: This article introduces a 3D generative model called TrGAN, which can generate medical images with important features and statistical properties while protecting privacy. By evaluating through a membership inference attack, the fidelity, utility, and privacy trade-offs of the model were studied.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Hoda Mashayekhi, Mostafa Nazari, Fatemeh Jafarinejad, Nader Meskin
Summary: In this study, a novel model-free adaptive control method based on deep reinforcement learning (DRL) is proposed for cancer chemotherapy drug dosing. The method models the state variables and control action in their original infinite spaces, providing a more realistic solution. Numerical analysis shows the superior performance of the proposed method compared to the state-of-the-art RL-based approach.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Hao Sun, Bao Li, Liyuan Zhang, Yanping Zhang, Jincheng Liu, Suqin Huang, Xiaolu Xi, Youjun Liu
Summary: In cases of moderate stenosis in the internal carotid artery, the A1 segment of the anterior cerebral artery or the posterior communicating artery within the Circle of Willis may show a hemodynamic environment with high OSI and low TAWSS, increasing the risk of atherosclerosis development and stenosis in the CoW.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ilaria Toniolo, Paola Pirini, Silvana Perretta, Emanuele Luigi Carniel, Alice Berardo
Summary: This study compared the outcomes of endoscopic sleeve gastroplasty (ESG) and laparoscopic sleeve gastrectomy (LSG) in weight loss surgery using computational models of specific patients. The results showed significant differences between the two procedures in terms of stomach volume reduction and mechanical stimulation. A predictive model was proposed to support surgical planning and estimation of volume reduction after ESG.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Chun-You Chen, Ya-Lin Chen, Jeremiah Scholl, Hsuan-Chia Yang, Yu-Chuan (Jack) Li
Summary: This study evaluated the overall performance of a machine learning-based CDSS (MedGuard) in triggering clinically relevant alerts and intercepting inappropriate drug errors and LASA drug errors. The results showed that MedGuard has the ability to improve patients' safety by triggering clinically valid alerts.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Lingzhi Tang, Xueqi Wang, Jinzhu Yang, Yonghuai Wang, Mingjun Qu, HongHe Li
Summary: In this paper, a dynamical local feature fusion net for automatically recognizing aortic valve calcification (AVC) from echocardiographic images is proposed. The network segments high-echo areas and adjusts the selection of local features to better integrate global and local semantic representations. Experimental results demonstrate the effectiveness of the proposed approach.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
You-Lei Fu, Wu Song, Wanni Xu, Jie Lin, Xuchao Nian
Summary: This study investigates the combination of surface electromyographic signals (sEMG) and deep learning-based CNN networks to study the interaction between humans and products and the impact on body comfort. It compares the advantages and disadvantages of different CNN networks and finds that DenseNet has unique advantages over other algorithms in terms of accuracy and ease of training, while mitigating issues of gradient disappearance and model degradation.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kroeninger, Jan Egger, Jens Kleesiek
Summary: In this study, a deep learning-based skull stripping algorithm for MRI was proposed, which works directly in the complex valued k-space and preserves the phase information. The results showed that the algorithm achieved similar results to the ground truth, with higher accuracy in the slices above the eye region. This approach not only preserves valuable information for further diagnostics, but also enables immediate anonymization of patient data before being transformed into the image domain.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ziyang Chen, Laura Cruciani, Elena Lievore, Matteo Fontana, Ottavio De Cobelli, Gennaro Musi, Giancarlo Ferrigno, Elena De Momi
Summary: In this paper, a deep learning-based approach is proposed to recover 3D information of intra-operative scenes, which can enhance the safety of robot-assisted surgery by implementing depth estimation using stereo images.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ao Leng, Bolun Zeng, Yizhou Chen, Puxun Tu, Baoxin Tao, Xiaojun Chen
Summary: This study presents a novel training system for zygomatic implant surgery, which offers a more realistic simulation and training solution. By integrating visual, haptic, and auditory feedback, the system achieves global rigid-body collisions and soft tissue simulation, effectively improving surgeons' proficiency.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Yingjie Wang, Xueqing Yin
Summary: This study developed an integrated computational model combining coronary flow and myocardial perfusion models to achieve physiologically accurate simulations. The model has the potential for clinical application in diagnosing insufficient myocardial perfusion.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Nitzan Avidan, Moti Freiman
Summary: This study aims to enhance the generalization capabilities of DNN-based MRI reconstruction methods for undersampled k-space data. By introducing a mask-aware DNN architecture and training method, the under-sampled data and mask are encoded within the model structure, leading to improved performance. Rigorous testing on the widely accessible fastMRI dataset reveals that this approach demonstrates better generalization capabilities and robustness compared to traditional DNN methods.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Enhao Zhang, Saeed Miramini, Lihai Zhang
Summary: This study investigates the combined effects of osteoporosis and diabetes on fracture healing process by developing numerical models. The results show that osteoporotic fractures have higher instability and disruption in mesenchymal stem cells' proliferation and differentiation compared to non-osteoporotic fractures. Moreover, when osteoporosis coexists with diabetes, the healing process of fractures can be severely impaired.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
Article
Computer Science, Interdisciplinary Applications
Yunhao Bai, Wenqi Li, Jianpeng An, Lili Xia, Huazhen Chen, Gang Zhao, Zhongke Gao
Summary: This study proposes an effective MIL method for classifying WSI of esophageal cancer. The use of self-supervised learning for feature extractor pretraining enhances feature extraction from esophageal WSI, leading to more robust and accurate performance. The proposed framework outperforms existing methods, achieving an accuracy of 93.07% and AUC of 95.31% on a comprehensive dataset of esophageal slide images.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2024)
