Biomechanical modeling and computer simulation of the brain during neurosurgery
K. Miller, G. R. Joldes, G. Bourantas, S. K. Warfield, D. E. Hyde, R., Kikinis, A. Wittek

TL;DR
This paper reviews biomechanical modeling and simulation techniques for the brain during neurosurgery, emphasizing physics-based approaches, nonlinear modeling, and applications like brain shift estimation and deformation computation.
Contribution
It introduces advanced nonlinear biomechanical modeling methods and solution techniques for brain deformation simulation in neurosurgical procedures.
Findings
Finite element and meshless methods effectively model large brain deformations.
The models accurately estimate brain shift for image registration.
Simulations assist in neuronavigation during epilepsy treatment.
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 it's 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…
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Taxonomy
TopicsElasticity and Material Modeling · Automotive and Human Injury Biomechanics · Medical Imaging and Analysis
