Year: 2019
Type: article
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.
DOI: 10.1002/cnm.3250
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Funders: Australian Government, Raine Medical Research Foundation, Department of Health, Government of Western Australia, National Institutes of Health, Medical Research Council, Australian Research Council, National Health and Medical Research Council, National Institute of Mental Health, National Cancer Institute, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering
Awards: Towards predicting brain deformations for image-guided neurosurgery, G118220648, G197766378, G1997636715, Neuroimaging Analysis Center (NAC), Prospective/Retrospective Motion Correction System for Motion Robust Pediatric MR, G552706917, Neuroimage as biomechanical model: new real-time computational biomechanics of the brain, Towards better neuronavigation in epilepsy surgery: pre-operative MRI to intra-operative CT registration, Resection-induced brain shift estimation: biomechanics-based approach, G7267899247, Biomechanics Meets Robotics: Methods for Accurate and Fast Needle Targeting, Towards Consistent Meshless Computational Framework for Soft Tissue Damage Modelling for Traumatic Injury Prevention and Surgery Simulation, G9000014650, G9000020931, G9000045020, G9000131865, G9000190854, G9000220944, G9000272821
OpenAlex ID: W2968307910