In this section
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@article{Forte:2017:10.1007/s10237-017-0958-7,
author = {Forte, AE and galvan, S and Dini, D},
doi = {10.1007/s10237-017-0958-7},
journal = {Biomechanics and Modeling in Mechanobiology},
pages = {249--261},
title = {Models and tissue mimics for brain shift simulations},
url = {http://dx.doi.org/10.1007/s10237-017-0958-7},
volume = {17},
year = {2017}
}
TY - JOUR
AB - Capturing the deformation of human brain during neurosurgical operations is an extremely important task to improve the accuracy or surgical procedure and minimize permanent damage in patients. This study focuses on the development of an accurate numerical model for the prediction of brain shift during surgical procedures and employs a tissue mimic recently developed to capture the complexity of the human tissue. The phantom, made of a composite hydrogel, was designed to reproduce the dynamic mechanical behaviour of the brain tissue in a range of strain rates suitable for surgical procedures. The use of a well-controlled, accessible and MRI compatible alternative to real brain tissue allows us to rule out spurious effects due to patient geometry and tissue properties variability, CSF amount uncertainties, and head orientation. The performance of different constitutive descriptions is evaluated using a brain–skull mimic, which enables 3D deformation measurements by means of MRI scans. Our combined experimental and numerical investigation demonstrates the importance of using accurate constitutive laws when approaching the modelling of this complex organic tissue and supports the proposal of a hybrid poro-hyper-viscoelastic material formulation for the simulation of brain shift.
AU - Forte,AE
AU - galvan,S
AU - Dini,D
DO - 10.1007/s10237-017-0958-7
EP - 261
PY - 2017///
SN - 1617-7940
SP - 249
TI - Models and tissue mimics for brain shift simulations
T2 - Biomechanics and Modeling in Mechanobiology
UR - http://dx.doi.org/10.1007/s10237-017-0958-7
UR - http://hdl.handle.net/10044/1/50479
VL - 17
ER -