Article
Engineering, Biomedical
Irteza Enan Kabir, Diego A. Caban-Rivera, Juvenal Ormachea, Kevin J. Parker, Curtis L. Johnson, Marvin M. Doyley
Summary: In this study, it is found that reverberant elastography can accurately produce elastograms of the brain using a single mechanical driver, as demonstrated in experiments on healthy volunteers and a brain phantom. Compared to the established subzone inversion method, reverberant elastography has smaller errors and higher contrast-to-noise ratio, showing great potential for clinical applications in neuroimaging.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Engineering, Biomedical
Andrew K. Knutsen, Suhas Vidhate, Grace McIlvain, Josh Luster, Eric J. Galindo, Curtis L. Johnson, Dzung L. Pham, John A. Butman, Ricardo Mejia-Alvarez, Michaelann Tartis, Adam M. Willis
Summary: Traumatic brain injury (TBI) is a significant health concern with a gap in understanding the relationship between impulsive loadings and injury patterns. This study introduces the ANGUS phantom, a synthetic model that mimics the human brain, and compares its response to data from human subjects. The results suggest that the ANGUS phantom is suitable for reproducing the brain's response to linear impulses but requires improvement for rotational impacts.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2023)
Article
Biophysics
Grace McIlvain, Matthew D. J. McGarry, Curtis L. Johnson
Summary: Off-resonance related geometric distortion can impact quantitative MRI techniques like MRE, affecting the estimated mechanical properties. Different k-space trajectories and correction methods can influence the accuracy of the measurements, with traditional distortion correction pipelines being effective in reducing stiffness errors, but with limitations in cases of very large distortion.
NMR IN BIOMEDICINE
(2021)
Article
Engineering, Biomedical
Efe Ozkaya, Gloria Fabris, Fabiola Macruz, Zeynep M. Suar, Javid Abderezaei, Bochao Su, Kaveh Laksari, Lyndia Wu, David B. Camarillo, Kim B. Pauly, Max Wintermark, Mehmet Kurt
Summary: Magnetic Resonance Elastography (MRE) is a technique for evaluating the mechanical properties of biological tissues non-invasively. This study focused on assessing the viscoelastic properties of healthy children and adolescents' brains, finding age-related microstructural changes and higher shear modulus in female brains compared to males. The results highlight the potential for using MRE in understanding brain development biomechanics and establishing clinical baselines for pediatric and adolescent brain viscoelasticity.
JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS
(2021)
Article
Neurosciences
Shuaihu Wang, Charlotte A. Guertler, Ruth J. Okamoto, Curtis L. Johnson, Matthew D. J. McGarry, Philip V. Bayly
Summary: This study used MRE and DTI data to estimate anisotropic mechanical properties in six young female Yucatan minipigs. The results showed that white matter is more dissipative and anisotropic than gray matter, and brain development has a significant impact on brain stiffness and structural anisotropy.
Article
Radiology, Nuclear Medicine & Medical Imaging
Ariel J. Hannum, Grace McIlvain, Damian Sowinski, Matthew D. J. McGarry, Curtis L. Johnson
Summary: The study aimed to investigate the impact of signal noise in magnetic resonance elastography on mechanical property estimates. Results showed that physiological and vibration noise had a greater effect on property estimation than image noise, and they were spatially correlated.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Biophysics
Keshav A. Kailash, Charlotte A. Guertler, Curtis L. Johnson, Ruth J. Okamoto, Philip V. Bayly
Summary: This study investigates the mechanical role of the skull-brain interface using magnetic resonance elastography in a juvenile, female Yucatan mini-pig model. The results show that there are small relative displacements between the skull and brain, with variations by anatomical region. These findings provide important insights into the understanding of brain injury and development.
JOURNAL OF BIOMECHANICS
(2023)
Article
Multidisciplinary Sciences
Thomas Elgeti, Matthias Frohlich, Kim Kathrin Wismayer, Heiko Tzschatzsch, Bernd Hamm, Ingolf Sack, Lars-Arne Schaafs
Summary: This study compares the stiffness of the abdominal aortic wall between smokers and non-smokers using ultrasound time-harmonic elastography (THE). The results show that smokers have significantly higher abdominal aortic wall stiffness, indicating that THE is sensitive to subclinical aortic stiffening in smokers before morphological changes occur.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
Shao-Lun Lu, Pei-Yu Chao, Wei-Wen Liu, Kun Han, Jason Chia-Hsien Cheng, Pai-Chi Li
Summary: Temporal variations of extracellular matrix stiffness have a significant impact on cellular behaviors. This study introduces a new imaging system to investigate the temporal changes in the stiffness of a cell-laden hydrogel. The results show that exposing 3D cancer cell cultures to X-ray irradiation induces a temporal change in the sample's shear wave speed.
Article
Radiology, Nuclear Medicine & Medical Imaging
Guixue Liu, Di Ma, Huafeng Wang, Jiahao Zhou, Zhehan Shen, Yuchen Yang, Yongjun Chen, Ingolf Sack, Jing Guo, Ruokun Li, Fuhua Yan
Summary: In this study, the viscoelastic signatures of proliferative hepatocellular carcinoma (HCC) were investigated using three-dimensional (3D) magnetic resonance elastography (MRE). The study found that adding MRE properties (tumor c and tumor f) can improve the performance of conventional MRI for the preoperative diagnosis of proliferative HCC.
INSIGHTS INTO IMAGING
(2023)
Article
Engineering, Biomedical
Lucy Hiscox, Matthew D. J. McGarry, Curtis L. Johnson
Summary: This study investigates the accuracy of magnetic resonance elastography (MRE) in measuring the viscoelasticity of the cerebral cortex. The results suggest that higher-resolution MRE and a non-linear inversion approach with low regularization weighting can minimize measurement errors. The study also found that mid-line structures tend to have greater errors compared to cortical surface structures. These findings provide quantitative guidelines for in vivo MRE of the cortex and its potential applications in studying cortical viscoelasticity and its relationship with health, cognition, and behavior.
PHYSICS IN MEDICINE AND BIOLOGY
(2022)
Article
Neurosciences
Katharina Schregel, Caroline Baufeld, Miklos Palotai, Roberta Meroni, Paolo Fiorina, Jens Wuerfel, Ralph Sinkus, Yong-Zhi Zhang, Nathan McDannold, P. Jason White, Charles R. G. Guttmann
Summary: EAE is a model of multiple sclerosis with moderate reproducibility, but lacks focal lesions observed in MS, making it difficult to assess the pathogenesis of lesion evolution. Using focused ultrasound to induce blood brain barrier disruption in EAE mice, we observed focal brain lesions with increased inflammatory activity reflected in changes of biomechanical parameters.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Gwenael Page, Felicia Julea, Valerie Paradis, Valerie Vilgrain, Dominique Valla, Bernard E. Van Beers, Philippe Garteiser
Summary: This study describes an MRE reconstruction algorithm that adjusts the ratio between shear wavelength and pixel size and evaluates its performance in different use cases. The results show that MARS has the best diagnostic performance in detecting advanced fibrosis.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jonathan M. Scott, KowsalyaDevi Pavuluri, Joshua D. Trzasko, Armando Manduca, Matthew L. Senjem, John Huston, Richard L. Ehman, Matthew C. Murphy
Summary: This study evaluates the impact of assuming local homogeneity on stiffness estimates in brain MR elastography. The results show that inhomogeneous inversions can provide small but significant benefits even in the absence of large stiffness gradients.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Surgery
Jae Seok Bae, Dong Ho Lee, Nam-Joon Yi, Kwang-Woong Lee, Kyung-Suk Suh, Haeryoung Kim, Kyung Bun Lee, Yunhee Choi
Summary: This study compared the performances of MRE and TE in predicting severe complications after liver resection in HCC patients. The results showed that MRE had better predictive accuracy than TE for high comprehensive complication index (CCI) and diagnosing liver fibrosis. MRE measurement of liver stiffness was independently associated with high CCI after liver resection.
Article
Engineering, Multidisciplinary
G. R. Liu
Summary: Artificial neural networks, such as MLP, CNNs, and RNNs, have been widely used for practical problems. The paper focuses on studying the theoretical foundation of NNs and proposes a novel Universal Prediction Theory (UPT) based on intensive study of affine transformations and their role as prediction functions. The effects of network architecture and nonlinear activation functions are also investigated.
INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS
(2023)
Article
Neuroimaging
Raynald, Hongchao Yang, Xu Tong, Xiaochuan Huo, Xiaoqing Li, Lian Liu, Binbin Sui, Hui Qu, Kehui Dong, Yilong Wang, Shuran Wang, Zhongrong Miao, Dapeng Mo
Summary: This prospective cohort study compared the outcomes of stenting and medical treatment for patients with idiopathic intracranial hypertension (IIH) and venous sinus stenosis (VSS). The study found that stenting had a greater efficacy rate and rapid resolution of papilledema and its respective symptoms compared with medical treatment.
JOURNAL OF NEUROINTERVENTIONAL SURGERY
(2023)
Article
Engineering, Multidisciplinary
Shao-Wei Wu, G. R. Liu, Chao Jiang, Xin Liu, Kai Liu, De-Tao Wan, Jun-Hong Yue
Summary: This study extends the smoothed finite elements method (S-FEM) to arbitrarily complicated meshes, including nonconvex polygonal meshes. A novel formulation based on S-FEM is presented for analyzing elastic and elastoplastic problems using arbitrarily polygonal elements. The method utilizes the unique features of S-FEM to ensure stability, accommodation to mesh distortion, and differentiation-free strain field computation. It effectively handles general non-convex elements with good accuracy and robustness, making it an effective tool for dealing with polycrystalline metallic materials of arbitrary shapes.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Huibin Kang, Xiaoyan Bai, Yisen Zhang, Wei Zhou, Yi Ju, Xinjian Yang, Binbin Sui, Chengcheng Zhu
Summary: This study aimed to investigate the predictors of improvement in patients with isolated intracranial vasculitis stenoses using high-resolution vessel wall magnetic resonance imaging (HR VW-MRI). The degree of wall enhancement at baseline was found to be an independent predictive factor associated with the improvement in intracranial vasculitis stenoses. Therefore, a lower degree of wall enhancement is more likely to result in reduced stenosis in patients undergoing conventional conservative therapy.
EUROPEAN JOURNAL OF RADIOLOGY
(2023)
Article
Engineering, Multidisciplinary
Sandeep Kshirsagar, H. Nguyen-Xuan, G. R. Liu, Sundararajan Natarajan
Summary: In this paper, three different smoothed finite element methods, NS-FEM, FS-FEM, and a-FEM, are used for 3D solids with large deformation. The common feature of these techniques is the introduction of smoothed strain as a weighted average of the compatible strain field over smoothing domains. The implementation of SFEM in Abaqus software is challenging due to the interconnected SFEM elements at the elemental level. However, this work effectively addresses the challenges and provides a validated implementation for benchmark examples and real-life problems.
INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS
(2023)
Article
Immunology
Fei Peng, Jiaxiang Xia, Hao Niu, Xin Feng, Tianheng Zheng, Xiaoxin He, Boya Xu, Xuge Chen, Peng Xu, Hong Zhang, Jigang Chen, Xin Tong, Xiaoyan Bai, Zhiye Li, Yonghong Duan, Binbin Sui, Xingquan Zhao, Aihua Liu
Summary: Inflammation plays a crucial role in the progression of intracranial aneurysms, and aneurysmal wall enhancement is closely associated with inflammatory processes. This study found that blood inflammatory indices can predict aneurysmal wall enhancement and symptoms, providing potential biomarkers for predicting aneurysm instability.
FRONTIERS IN IMMUNOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Peng-Fei Wang, Bin-Bin Sui, Lin Sha, Zhe Gong, Yu-Hang Zhang, Yu-Han Wu, Li-Na Zhao, Fa-Nian Shi
Summary: Biomass-derived carbon (BC) is a promising anode material for lithium ion batteries (LiBs) due to its natural hierarchical porous structure. However, the specific surface area of pure biomass carbon is small. To address this issue, we introduced NH3 and inorganic acid produced by urea decomposition to strip biomass, thereby improving its specific surface area and nitrogen content. The resulting nitrogen-rich graphite flake (NGF) exhibited a high specific surface area of 1151.1 m(2) g(-1) and a nitrogen content of 10.12%. In lithium ion battery tests, NGF showed a capacity of 806.6 mAh g(-1) at 30 mA g(-1), which was twice that of BC. It also demonstrated excellent performance with a capacity of 429.2 mAh g(-1) at 2000 mA g(-1). The exceptional rate performance was attributed to large-scale capacitance control and the diffusion coefficient of NGF was found to be higher than that of BC.
CHEMISTRY-AN ASIAN JOURNAL
(2023)
Article
Engineering, Multidisciplinary
X. Cui, G. R. Liu, Z. R. Li
Summary: In this paper, a high-order edge-based smoothed finite element method (ES-FEM) using special triangular elements with four nodes (T4) is proposed. The strain field in each smoothing domain is expressed by polynomials of complete order and can be expressed in the form of first-order and second-order shape functions for T4 elements. Two types of ES-FEM models, constant-strain ES-FEM-T4 and linear-strain ES-FEM-T4, are developed and found to have high calculation accuracy and the ability to remove volumetric locking in incompressible or nearly incompressible solids.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2023)
Article
Engineering, Mechanical
Shao-Wei Wu, De-Tao Wan, Chen Jiang, Xin Liu, Kai Liu, G. R. Liu
Summary: This paper presents a Unified-Implementation of smoothed finite element method (UI-SFEM) for analyzing large deformations of complex biological tissues. The method utilizes automatically generated linear triangles and tetrahedrons to construct the numerical integration domain, and can combine arbitrary forms of smoothing domains based on the numerical characteristics of materials or components. It also considers the instantaneous hyperelasticity and time-dependent viscous behaviors commonly observed in biological tissues. Numerical experiments demonstrate that the UI-SFEM possesses high flexibility, accuracy, computational efficiency, and is insensitive to mesh distortion when simulating multi-material and multi-component biological tissues.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiaoyan Bai, Pingping Fan, Zhiye Li, Mahmud Mossa-Basha, Yi Ju, Xingquan Zhao, Qingle Kong, Xun Pei, Xue Zhang, Binbin Sui, Chengcheng Zhu
Summary: This study investigated the relationship between middle cerebral artery (MCA) plaque characteristics and lenticulostriate artery (LSA) morphology with subcortical infarctions. The results showed that LSA origin involvement and plaque irregular surface were independent predictors in differentiating culprit from non-culprit plaques. A combination of LSA origin involvement and plaque irregular surface showed good performance in identifying culprit plaques. 7-T vessel wall MRI and time-of-flight MR angiography can be useful methods for assessing subcortical infarctions.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Neuroimaging
Na Raynald, Na Chen, Hongchao Yang, Xu Tong, Binbin Sui, Hui Qu, Kehui Dong, Yilong Wang, Zhongrong Miao, Dapeng Mo
Summary: In this study, the characteristics of different stenosis types in IIH patients with VSS were analyzed using IVUS. Retrospective data review revealed 47 cases of intrinsic lesions, including 41 single lesions and 6 multiple lesions. IVUS effectively differentiated intrinsic and extrinsic stenosis types and identified intraluminal and mural components of intrinsic stenosis.
JOURNAL OF NEUROINTERVENTIONAL SURGERY
(2023)
Article
Neurosciences
Yifan Zhang, Yue Wang, Zhaoqing Li, Zejun Wang, Juange Cheng, Xiaoyan Bai, Yi-Cheng Hsu, Yi Sun, Shiping Li, Jiong Shi, Binbin Sui, Ruiliang Bai
Summary: Blood-brain barrier (BBB) impairment is a key factor in Alzheimer's disease (AD) and can be used as a biomarker for early diagnosis. However, current neuroimaging methods require contrast agents, limiting their use in a large population. This study tested the feasibility of using vascular water exchange MRI (VEXI), a contrast agent-free method, to detect BBB breakdown in AD. The results showed that the apparent water exchange across the BBB measured by VEXI was higher in mild cognitive impairment (MCI) patients compared to normal cognition subjects, particularly in the hippocampus. The increase in water exchange extended to more brain regions in AD patients, and these changes were correlated with cognitive impairment.
Article
Computer Science, Interdisciplinary Applications
Parikshit Boregowda, Gui-Rong Liu
Summary: Handling boundaries in smoothed particle hydrodynamics (SPH) is a critical problem and significant progress has been made in exploring boundary integral terms to improve accuracy. However, formulation consistency is difficult due to fundamental difficulties, affecting solution accuracy. This study investigates the order of accuracy of SPH approximation with boundary integral terms, examining both kernel consistent and particle consistent formulations. The results show that particle consistent formulation significantly outperforms traditional correction factors in terms of accuracy.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2023)
Article
Clinical Neurology
Yanliang Mei, Wei Wang, Dong Qiu, Ziyu Yuan, Xiaoyan Bai, Hefei Tang, Peng Zhang, Xue Zhang, Yaqing Zhang, Xueying Yu, Binbin Sui, Yonggang Wang
Summary: This study investigated the micro-structural abnormalities of white matter in patients with new daily persistent headache (NDPH) using tract-based spatial statistics (TBSS). The results suggested widespread white matter abnormalities in the brains of NDPH patients, which could contribute to a better understanding of the pathogenesis of this disease.
JOURNAL OF HEADACHE AND PAIN
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yupeng Zhang, Chao Ma, Shikai Liang, Changxuan Li, Haoyu Zhu, Zhiye Li, Zhongrong Miao, Xu Tong, Kehui Dong, Chuhan Jiang, Binbin Sui, Dapeng Mo
Summary: This study aimed to explore a non-invasive method to estimate pressure drop in patients with idiopathic intracranial hypertension (IIH) undergoing venous sinus stenting. The work-energy equation can be used to accurately estimate the trans-stenotic pressure drop in IIH.
EUROPEAN RADIOLOGY
(2023)
