Biomechanical modeling and computer simulation of the brain during neurosurgery

Karol Miller, Grand R. Joldes, George Bourantas, Simon K. Warfield, Damon E. Hyde, Ron Kikinis, Adam Wittek

Research output: Contribution to journalReview 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.

Original languageEnglish
Article numbere3250
Number of pages24
JournalInternational Journal for Numerical Methods in Biomedical Engineering
DOIs
Publication statusE-pub ahead of print - 10 Aug 2019

Fingerprint

Neurosurgery
Computer Simulation
Modeling and Simulation
Brain
Continuum mechanics
Continuum Mechanics
Computer simulation
Mechanics
Modeling
Neuronavigation
Explicit Time Integration
Biomechanics
Epilepsy
Nonlinear Modeling
Warping
Meshless
Image registration
Fully Nonlinear
Physics
Image Registration

Cite this

@article{908d736b192c41328044ae63f1fa391e,
title = "Biomechanical modeling and computer simulation of the brain during neurosurgery",
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.",
keywords = "brain biomechanics, brain shift, epilepsy surgery, glioma surgery, image warping, meshless methods, neurosurgical simulation, neuroimage registration",
author = "Karol Miller and Joldes, {Grand R.} and George Bourantas and Warfield, {Simon K.} and Hyde, {Damon E.} and Ron Kikinis and Adam Wittek",
year = "2019",
month = "8",
day = "10",
doi = "10.1002/cnm.3250",
language = "English",
journal = "Communications in Numerical Methods in Engineering",
issn = "2040-7947",
publisher = "John Wiley & Sons",

}

TY - JOUR

T1 - Biomechanical modeling and computer simulation of the brain during neurosurgery

AU - Miller, Karol

AU - Joldes, Grand R.

AU - Bourantas, George

AU - Warfield, Simon K.

AU - Hyde, Damon E.

AU - Kikinis, Ron

AU - Wittek, Adam

PY - 2019/8/10

Y1 - 2019/8/10

N2 - 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.

AB - 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.

KW - brain biomechanics

KW - brain shift

KW - epilepsy surgery

KW - glioma surgery

KW - image warping

KW - meshless methods

KW - neurosurgical simulation

KW - neuroimage registration

UR - http://www.scopus.com/inward/record.url?scp=85071736214&partnerID=8YFLogxK

U2 - 10.1002/cnm.3250

DO - 10.1002/cnm.3250

M3 - Review article

JO - Communications in Numerical Methods in Engineering

JF - Communications in Numerical Methods in Engineering

SN - 2040-7947

M1 - e3250

ER -