Magnetic resonance elastography in the study of neurodegenerative diseases

Y Feng, MC Murphy, E Hojo, F Li… - Journal of Magnetic …, 2024 - Wiley Online Library
Neurodegenerative diseases such as Alzheimer's disease (AD) and Parkinson's disease
(PD) present a major health burden to society. Changes in brain structure and cognition are …

A comparative study of artificial intelligence models and a statistical method for groundwater level prediction

M Poursaeid, AH Poursaeid, S Shabanlou - Water Resources …, 2022 - Springer
Today, various methods have been developed to extract drinking water resources, which
scientists use to simulate the quantitative and qualitative water resources parameters. Due …

[HTML][HTML] Mechanical stiffness and anisotropy measured by MRE during brain development in the minipig

S Wang, CA Guertler, RJ Okamoto, CL Johnson… - NeuroImage, 2023 - Elsevier
The relationship between brain development and mechanical properties of brain tissue is
important, but remains incompletely understood, in part due to the challenges in measuring …

MR Elastography with optimization-based phase unwrapping and traveling wave expansion-based neural network (TWENN)

S Ma, R Wang, S Qiu, R Li, Q Yue… - … on Medical Imaging, 2023 - ieeexplore.ieee.org
Magnetic Resonance Elastography (MRE) can characterize biomechanical properties of soft
tissue for disease diagnosis and treatment planning. However, complicated wavefields …

Constitutive parameter identification of transtibial residual limb soft tissue using ultrasound indentation and shear wave elastography

BJ Ranger, KM Moerman, BW Anthony… - Journal of the Mechanical …, 2023 - Elsevier
Finite element analysis (FEA) can be used to evaluate applied interface pressures and
internal tissue strains for computational prosthetic socket design. This type of framework …

[HTML][HTML] A genetic evolved machine learning approach for 3D DEM modelling of anisotropic materials with full consideration of particulate interactions

Z Gu, X Ding, X Hou, J Ye - Composites Part B: Engineering, 2023 - Elsevier
Rapid development of multiscale modelling techniques has enabled significant
improvement in understanding material failure. However, accurate simulation of general …

Machine Learning-Assisted Characterization of Pore-Induced Variability in Mechanical Response of Additively Manufactured Components

M Rezasefat, JD Hogan - Modelling, 2023 - mdpi.com
Manufacturing defects, such as porosity and inclusions, can significantly compromise the
structural integrity and performance of additively manufactured parts by acting as stress …

Groundwater level prediction using an improved ELM model integrated with hybrid particle swarm optimisation and grey wolf optimisation

S Samantaray, A Sahoo - Groundwater for Sustainable Development, 2024 - Elsevier
Groundwater, the world's most abundant source of freshwater, is rapidly depleting in many
regions due to a variety of factors. Groundwater resources (GWR) play a crucial role in daily …

[HTML][HTML] Post-mortem changes of anisotropic mechanical properties in the porcine brain assessed by MR elastography

S Wang, KN Eckstein, CA Guertler, CL Johnson… - Brain Multiphysics, 2024 - Elsevier
Abstract Knowledge of the mechanical properties of brain tissue in vivo is essential to
understanding the mechanisms underlying traumatic brain injury (TBI) and to creating …

Shear wave speeds in a nearly incompressible fibrous material with two unequal fiber families

S Wang, RJ Okamoto, MDJ McGarry… - The Journal of the …, 2024 - pubs.aip.org
The mechanical properties of soft biological tissues can be characterized non-invasively by
magnetic resonance elastography (MRE). In MRE, shear wave fields are induced by …