In-vivo high-speed biomechanical imaging of the cornea using Corvis ST and digital image correlation

B Wang, L Yang, J Cheng, J Wang, Y Mei - Computers in Biology and …, 2023 - Elsevier
In-vivo corneal biomechanical characterization has gained significant clinical relevance in
ophthalmology, especially in the early diagnosis of eye disorders and diseases (eg …

A direct method to identify Young's moduli and boundary conditions of the heterogeneous material

T Xu, M Li, Z Wang, Y Hu, S Du, Y Lei - International Journal of Mechanical …, 2025 - Elsevier
Identifying unknown Young's moduli and boundary conditions of the heterogeneous material
using locally observed boundary data is the inverse problem which is generally solved by …

FEniCS implementation of the Virtual Fields Method (VFM) for nonhomogeneous hyperelastic identification

J Deng, X Guo, Y Mei, S Avril - Advances in Engineering Software, 2023 - Elsevier
It is of great significance to identify the nonhomogeneous distribution of material properties
in human tissues for different clinical and medical applications. This leads to the requirement …

General finite-element framework of the virtual fields method in nonlinear elasticity

Y Mei, J Liu, X Guo, B Zimmerman, TD Nguyen… - Journal of Elasticity, 2021 - Springer
This paper presents a method to derive the virtual fields for identifying constitutive model
parameters using the Virtual Fields Method (VFM). The VFM is an approach to identify …

A FEM-based direct method for identification of Young's modulus and boundary conditions in three-dimensional linear elasticity from local observation

T Xu, Z Wang, Y Hu, S Du, A Du, Z Yu, Y Lei - International Journal of …, 2023 - Elsevier
Simultaneously identifying unknown Young's modulus and boundary conditions of a linear
elastic material with the measurements only on a part of its boundary is an inverse problem …

Introducing regularization into the virtual fields method (VFM) to identify nonhomogeneous elastic property distributions

Y Mei, J Deng, X Guo, S Goenezen, S Avril - Computational Mechanics, 2021 - Springer
The identification of nonhomogeneous elastic property distributions has been traditionally
achieved with well acknowledged optimization based inverse approaches, but when full …

Moving morphable inclusion approach: an explicit framework to solve inverse problem in elasticity

Y Mei, Z Du, D Zhao, W Zhang… - Journal of Applied …, 2021 - asmedigitalcollection.asme.org
In this work, we present a novel inverse approach to characterize the nonhomogeneous
mechanical behavior of linear elastic solids. In this approach, we optimize the geometric …

A multiple-data-based direct method for inverse problem in three-dimensional linear elasticity

T Xu, Z Wang, Y Hu, S Du, Y Lei - International Journal of Mechanical …, 2023 - Elsevier
Estimating the unknown Young's modulus and boundary conditions of an elastic object from
locally observed boundary data is an inverse problem which is usually solved by iterative …

Nondestructively Identifying the Mechanical Behavior of Soft Tissues using Surface Deformation with an Explicit Inverse Approach

Y Mei, D Zhao, C Xiao, Z Sun, W Zhang… - Applied Mathematical …, 2024 - Elsevier
Identifying the spatial variation of stiffness properties in soft tissues nondestructively, with
limited surface measurements, poses significant challenges. In this paper, we present a …

[PDF][PDF] Toward Improved Accuracy in Quasi-Static Elastography Using Deep Learning.

Y Mei, J Deng, D Zhao, C Xiao, T Wang… - … in Engineering & …, 2024 - cdn.techscience.cn
Elastography is a non-invasive medical imaging technique to map the spatial variation of
elastic properties of soft tissues. The quality of reconstruction results in elastography is …