ReviewInternational journal for numerical methods in biomedical engineering2019
Biomechanical modeling and computer simulation of the brain during neurosurgery.
Review in International journal for numerical methods in biomedical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 37 citations in OpenAlex.
- Mechanical characterization of human versus porcine brain tissue under large strains.Biomechanics and modeling in mechanobiology · 2026Article
- Mechanical characterization of brain tissue: experimental techniques, human testing considerations, and perspectives.Acta biomaterialia · 2025Review
- Measurement of Residual Stress in the Brain.Journal of biomechanical engineering · 2025Article
- Simulators with Haptic Feedback in Neurosurgery: Are We Reaching the "Aviator" Type of Training? Narrative Review and Future Perspectives.Life (Basel, Switzerland) · 2025Review
- Article
- Engineering with Biomedical Sciences Changing the Horizon of Healthcare-A Review.Bioengineered · 2024Review
- Physics-informed UNets for discovering hidden elasticity in heterogeneous materials.Journal of the mechanical behavior of biomedical materials · 2024Article
- Elasticity imaging using physics-informed neural networks: Spatial discovery of elastic modulus and Poisson's ratio.Acta biomaterialia · 2023Article
- Study on protective performance and gradient optimization of helmet foam liner under bullet impact.Scientific reports · 2022Article
- Effective Viscoplastic-Softening Model Suitable for Brain Impact Modelling.Materials (Basel, Switzerland) · 2022Article
- Computer simulation of tumour resection-induced brain deformation by a meshless approach.International journal for numerical methods in biomedical engineering · 2022Article
- Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia.Medical image analysis · 2022Article
- Augmented Reality-Assisted Craniotomy for Parasagittal and Convexity En Plaque Meningiomas and Custom-Made Cranio-Plasty: A Preliminary Laboratory Report.International journal of environmental research and public health · 2021Article
- Standard-space atlas of the viscoelastic properties of the human brain.Human brain mapping · 2020Article
- Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
Abstract
Computational biomechanics of the brain for neurosurgery is an emerging area of research recently gaining in importance and practical applications. This review paper presents the contributions of the Intelligent Systems for Medicine Laboratory and its collaborators to this field, discussing the modeling approaches adopted and the methods developed for obtaining the numerical solutions. We adopt a physics-based modeling approach and describe the brain deformation in mechanical terms (such as displacements, strains, and stresses), which can be computed using a biomechanical model, by solving a continuum mechanics problem. We present our modeling approaches related to geometry creation, boundary conditions, loading, and material properties. From the point of view of solution methods, we advocate the use of fully nonlinear modeling approaches, capable of capturing very large deformations and nonlinear material behavior. We discuss finite element and meshless domain discretization, the use of the total Lagrangian formulation of continuum mechanics, and explicit time integration for solving both time-accurate and steady-state problems. We present the methods developed for handling contacts and for warping 3D medical images using the results of our simulations. We present two examples to showcase these methods: brain shift estimation for image registration and brain deformation computation for neuronavigation in epilepsy treatment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.