ArticlePhysics in medicine and biology2012
Model-based elastography: a survey of approaches to the inverse elasticity problem.
Article in Physics in medicine and biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.
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Who cites it
74 citing papers in PubMed.
- Stress-Constrained Physics-Informed UNet for Voxel-Wise Multiparameter Hyperelastic Inversion in Volumetric Medical Imaging.Annals of biomedical engineering · 2026Article
- Deep Learning-Based Inclusion Boundary Identification Using Wave Propagation in Optical Coherence Elastography.Journal of biophotonics · 2026Article
- Cross-plane shear wave elastography for viscoelasticity imaging.Physics in medicine and biology · 2026Article
- Evaluation of Natural Breasts and Post-Augmentation Breasts with Silicone Implants Using Subject-Specific Finite Element Modeling.Annals of biomedical engineering · 2026Article
- Assessment of Spatially-Varying Arterial Wall Stiffness and Pressure Using a Physics-Informed Neural Network and Pulse Wave Imaging: An in Silico and Experimental Phantom Study of Stenotic Vessels.Ultrasound in medicine & biology · 2026Article
- Ultrasound elastic modulus reconstruction using a deep learning model trained with simulated data.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- Multi-acquisition multi-resolution full-waveform shear wave elastography for reconstructing tissue viscoelasticity.Physics in medicine and biology · 2024Article
- Discovering 3D hidden elasticity in isotropic and transversely isotropic materials with physics-informed UNets.Acta biomaterialia · 2024Article
- Quantitative Viscoelastic Response (QVisR): Direct Estimation of Viscoelasticity With Neural Networks.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024Article
- [Reconstruction of elasticity modulus distribution base on semi-supervised neural network].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024Article
- Physics-informed UNets for discovering hidden elasticity in heterogeneous materials.Journal of the mechanical behavior of biomedical materials · 2024Article
- Myofascial and discogenic origins of lumbar pain: A critical review.The Journal of manual & manipulative therapy · 2023Review
- Physics-Informed Deep-Learning For Elasticity: Forward, Inverse, and Mixed Problems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Correlation-based full-waveform shear wave elastography.Physics in medicine and biology · 2023Article
- Reverberant magnetic resonance elastographic imaging using a single mechanical driver.Physics in medicine and biology · 2023Article
- Elasticity imaging using physics-informed neural networks: Spatial discovery of elastic modulus and Poisson's ratio.Acta biomaterialia · 2023Article
- Unveiling the future of breast cancer assessment: a critical review on generative adversarial networks in elastography ultrasound.Frontiers in oncology · 2023Review
- Intravascular optical coherence elastography.Biomedical optics express · 2022Article
- Reproducibility assessment of a biomechanical model-based elasticity imaging method for identifying changes in left ventricular mechanical stiffness.Journal of medical imaging (Bellingham, Wash.) · 2022Article
- Analyses of internal structures and defects in materials using physics-informed neural networks.Science advances · 2022Article
14 more citing papers are in PubMed but not listed here.
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Abstract
Elastography is emerging as an imaging modality that can distinguish normal versus diseased tissues via their biomechanical properties. This paper reviews current approaches to elastography in three areas--quasi-static, harmonic and transient--and describes inversion schemes for each elastographic imaging approach. Approaches include first-order approximation methods; direct and iterative inversion schemes for linear elastic; isotropic materials and advanced reconstruction methods for recovering parameters that characterize complex mechanical behavior. The paper's objective is to document efforts to develop elastography within the framework of solving an inverse problem, so that elastography may provide reliable estimates of shear modulus and other mechanical parameters. We discuss issues that must be addressed if model-based elastography is to become the prevailing approach to quasi-static, harmonic and transient elastography: (1) developing practical techniques to transform the ill-posed problem with a well-posed one; (2) devising better forward models to capture the complex mechanical behavior of soft tissues and (3) developing better test procedures to evaluate the performance of modulus elastograms.
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