Quantitative Imaging Methods for the Development and Validation of Brain Biomechanics Models, Annual Review of Biomedical Engineering, vol.14, issue.1, pp.369-96, 2012. ,
DOI : 10.1146/annurev-bioeng-071811-150032
Biomechanical simulation of electrode migration for deep brain stimulation. Medical Image Computing and Computer-Assisted Intervention -MICCAI, p.33946, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00685737
Brain tissue mechanical properties In: Biomechanics of the brain, p.6989, 2011. ,
Doppler Ultrasound Driven Biomechanical Model of the Brain for Intraoperative Brain-Shift Compensation: A Proof of Concept in Clinical Conditions ,
DOI : 10.1007/8415_2012_119
URL : https://hal.archives-ouvertes.fr/hal-00706803
Mechanical properties of gray and white matter brain tissue by indentation, Journal of the Mechanical Behavior of Biomedical Materials, vol.46, p.31830, 2015. ,
DOI : 10.1016/j.jmbbm.2015.02.024
A mechanical model predicts morphological abnormalities in the developing human brain, Scientific Reports, vol.1, issue.1, 2014. ,
DOI : 10.1002/rcs.32
Biomechanical simulation of atrophy in MR images, Medical Imaging 2003: Image Processing, p.48190, 2003. ,
DOI : 10.1117/12.480412
Fifty years of brain tissue mechanical testing: From in vitro to in vivo investigations, Biorheology, vol.47, pp.5-625576, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-00799194
Towards child versus adult brain mechanical properties, Journal of the Mechanical Behavior of Biomedical Materials, vol.6, p.16673, 2012. ,
DOI : 10.1016/j.jmbbm.2011.09.013
Intraoperative Brain Shift Compensation: Accounting for Dural Septa, IEEE Transactions on Biomedical Engineering, vol.58, issue.3, pp.499-508, 2011. ,
DOI : 10.1109/TBME.2010.2093896
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3864010
Patient-specic biomechanical model of the brain: application to Parkinson's disease procedure, Surgery Simulation and Soft Tissue Modeling, p.32131, 2003. ,
Robust nonrigid registration to capture brain shift from intraoperative MRI, IEEE Transactions on Medical Imaging, vol.24, issue.11, p.141727, 2005. ,
DOI : 10.1109/TMI.2005.856734
URL : https://hal.archives-ouvertes.fr/inria-00615963
Constraint-based simulation for nonrigid real-time registration, Medicine Meets Virtual Reality, vol.21196, pp.76-82, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01160739
Volumetric Intraoperative Brain Deformation Compensation: Model Development and Phantom Validation, IEEE Transactions on Medical Imaging, vol.31, issue.8, p.160719, 2012. ,
Vascular neurosurgery simulation with bimanual haptic feedback, 12th Workshop on Virtual Reality Interaction and Physical Simulation, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01226256
Projected number of people with Parkinson disease in the most populous nations, Neurology, vol.68, issue.5, p.3846, 2005. ,
Automated brain shift correction using a pre-computed deformation atlas, Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display, p.61411, 2006. ,
DOI : 10.1117/12.652350
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.3602
Automatic ultrasoundMRI registration for neurosurgery using the 2d and 3d LC2 Metric, Medical Image Analysis, issue.18, p.13129, 2014. ,
Brain shift in neuronavigation of brain tumors: A review, Medical Image Analysis, vol.35, p.40320, 2017. ,
DOI : 10.1016/j.media.2016.08.007
Mechanics of the brain: perspectives, challenges, and opportunities, Biomechanics and Modeling in Mechanobiology, vol.36, issue.2, p.93165, 2015. ,
DOI : 10.1016/j.tins.2013.01.006
High Resolution 3d Brain MR-Elastography, Proc Intl Soc Mag Reson Med, vol.14, 2006. ,
Three-dimensional analysis of shear wave propagation observed by in vivo magnetic resonance elastography of the brain, Acta Biomaterialia, vol.3, issue.1, p.12737, 2007. ,
DOI : 10.1016/j.actbio.2006.08.007
Strategies for brain shift evaluation, Medical Image Analysis, vol.8, issue.4, p.44764, 2004. ,
DOI : 10.1016/j.media.2004.02.001
The Influence of Test Conditions on Characterization of the Mechanical Properties of Brain Tissue, Journal of Biomechanical Engineering, vol.130, issue.3, p.31003, 2008. ,
DOI : 10.1115/1.2907746
Intraoperative brain shift prediction using a 3d inhomogeneous patient-specic nite element model, Journal of neurosurgery, vol.106, issue.1, p.1649, 2007. ,
DOI : 10.3171/jns.2007.106.1.164
Measurement of the hyperelastic properties of ex vivo brain tissue slices, Journal of Biomechanics, vol.44, issue.6, p.115863, 2011. ,
DOI : 10.1016/j.jbiomech.2011.01.019
Palpation of the Brain Using Magnetic Resonance Elastography, International Society for Magnetic Resonance in Medicine, p.258, 1999. ,
Magnetic resonance elastography of the brain, NeuroImage, vol.39, issue.1, p.2317, 2008. ,
DOI : 10.1016/j.neuroimage.2007.08.030
Nonlinear elastic registration of brain images with tumor pathology using a biomechanical model [MRI], IEEE Transactions on Medical Imaging, vol.18, issue.7, p.58092, 1999. ,
DOI : 10.1109/42.790458
Constitutive model for brain tissue under nite compression, Journal of Biomechanics, vol.45, issue.4, p.6426, 2012. ,
DOI : 10.1016/j.jbiomech.2011.12.023
Mechanical transient-based magnetic resonance elastography, Magnetic Resonance in Medicine, vol.i, issue.3, p.62839, 2005. ,
DOI : 10.1016/S0140-6736(86)90837-8
Comparing two approaches to rigid registration of three-dimensional ultrasound and magnetic resonance images for neurosurgery, International Journal of Computer Assisted Radiology and Surgery, vol.62, issue.3 Suppl 1, p.12536, 2012. ,
DOI : 10.1227/01.neu.0000317377.15196.45
In Vivo Quantication of a Homogeneous Brain Deformation Model for Updating Preoperative Images During Surgery, IEEE Transactions on Biomedical Engineering, vol.47, issue.2, p.26673, 2000. ,
Clinical evaluation of a model-updated image-guidance approach to brain shift compensation: experience in 16 cases, International Journal of Computer Assisted Radiology and Surgery, vol.61, issue.6, p.146774, 2015. ,
DOI : 10.1109/TBME.2014.2308299
Mechanical properties of brain tissue in tension, Journal of Biomechanics, vol.35, issue.4, p.48390, 2002. ,
DOI : 10.1016/S0021-9290(01)00234-2
Total Lagrangian explicit dynamics nite element algorithm for computing soft tissue deformation, COMMUNICATIONS IN NUMERICAL METH- ODS IN ENGINEERING, vol.23, p.12134, 2007. ,
DOI : 10.1002/cnm.887
On the prospect of patient-specic biomechanics without patient-specic properties of tissues, Journal of the mechanical behavior of biomedical materials, vol.27, p.15466, 2013. ,
Biomechanics of the brain for computer-integrated surgery, Acta of Bioengineering and Biomechanics, vol.12, issue.2, p.2537, 2002. ,
Estimation of intraoperative brain shift by combination of stereovision and doppler ultrasound: phantom and animal model study, International Journal of Computer Assisted Radiology and Surgery, vol.189, issue.5, p.175364, 2015. ,
DOI : 10.2214/AJR.06.1247
Rest shape computation for highly deformable model of brain, Computer Methods in Biomechanics and Biomedical Engineering, vol.18, issue.sup1, 2015. ,
DOI : 10.1016/j.jfluidstructs.2011.08.002
URL : https://hal.archives-ouvertes.fr/hal-01217673
Vessel-based brain-shift compensation using elastic registration driven by a patient-specic nite element model, International Conference on Image Processing and Computer-Assisted Intervention -IPCAI 2016, 2016. ,
Magnetic resonance elastography by direct visualization of propagating acoustic strain waves, Science, vol.269, issue.5232, p.18547, 1995. ,
DOI : 10.1126/science.7569924
Stable real-time deformations, Proceedings of the 2002 ACM SIGGRAPH/Eurographics symposium on Computer animation , SCA '02, p.4954, 2002. ,
DOI : 10.1145/545261.545269
Mechanical properties of tissues of the nervous system, Journal of Biomechanics, vol.1, issue.2, p.12738, 1968. ,
DOI : 10.1016/0021-9290(68)90015-8
CBTRUS Statistical Report: Primary Brain and Central Nervous System Tumors Diagnosed in the United States, Neuro-Onco, vol.17, p.162, 2008. ,
A computational model for tracking subsurface tissue deformation during stereotactic neurosurgery, IEEE Transactions on Biomedical Engineering, vol.46, issue.2, p.21325, 1999. ,
DOI : 10.1109/10.740884
Regional, Directional, and Age-Dependent Properties of the Brain Undergoing Large Deformation, Journal of Biomechanical Engineering, vol.124, issue.2, p.24452, 2002. ,
DOI : 10.1115/1.1449907
Simulation of brain tumors in MR images for evaluation of segmentation ecacy, Medical Image Analysis, vol.13, issue.2, p.297311, 2009. ,
The Lucite Calvarium???A Method for Direct Observation of the Brain, Journal of Neurosurgery, vol.3, issue.6, p.487505, 1946. ,
DOI : 10.3171/jns.1946.3.6.0487
Intra-operative correction of brainshift, Acta Neurochirurgica, vol.156, p.130110, 2014. ,
Deformable registration of preoperative MR, pre-resection ultrasound, and post-resection ultrasound images of neurosurgery, International Journal of Computer Assisted Radiology and Surgery, vol.21, issue.2, p.101728, 2015. ,
DOI : 10.1109/TMI.2010.2091966
Incidence of traumatic brain injury in the United States, Journal of Head Tram Rehabilitation, vol.21, issue.6, p.5448, 2003. ,
The impact of aging and gender on brain viscoelasticity, NeuroImage, vol.46, issue.3, p.6527, 2009. ,
DOI : 10.1016/j.neuroimage.2009.02.040
GPU-accelerated surgery simulation for opening a brain ssure, Robomech Journal, vol.2, issue.1, p.116, 2015. ,
DOI : 10.1186/s40648-015-0040-0
URL : http://doi.org/10.1186/s40648-015-0040-0
In vivo measurement of human brain elasticity using a light aspiration device, Medical Image Analysis, vol.13, issue.4, p.6738, 2009. ,
DOI : 10.1016/j.media.2009.04.001
URL : https://hal.archives-ouvertes.fr/hal-00374101
Estimating Mechanical Brain Tissue Properties with Simulation and Registration. Medical Image Computing and Computer-Assisted InterventionMICCAI, p.27683, 2004. ,
DOI : 10.1007/978-3-540-30136-3_35
Near Real-Time Computer Assisted Surgery for Brain Shift Correction Using Biomechanical Models, IEEE Journal of Translational Engineering in Health and Medicine, vol.2, p.113, 2014. ,
Analysis of Intracerebral Hematoma Shapes by Numerical Computer Simulation Using the Finite Element Method, Neurologia medico-chirurgica, vol.34, issue.2, p.659, 1994. ,
DOI : 10.2176/nmc.34.65
Determination of Gray and White Matter Elasticity with MR Elastography, Proc Intl Soc Mag Reson Med, vol.11, 2004. ,
Modeling of Brain Shift Phenomenon for Dierent Craniotomies and Solid Models, Journal of Applied Mathematics, 2012. ,
Using Region-of-Interest Based Finite Element Modelling for Brain-Surgery Simulation. Medical Image Computing and Computer-Assisted Interventation MICCAI, 98, p.30516, 1998. ,
Serial FEM/XFEM-Based Update of Preoperative Brain Images Using Intraoperative MRI, International Journal of Biomedical Imaging, vol.2, issue.11, p.872783, 2012. ,
DOI : 10.1002/nme.1291
On the unimportance of constitutive models in computing brain deformation for image-guided surgery, Biomechanics and Modeling in Mechanobiology, vol.5, issue.1, pp.77-84, 2009. ,
DOI : 10.1115/1.3426188
Patient-specic model of brain deformation: Application to medical image registration, Journal of Biomechanics, vol.40, issue.4, p.91929, 2007. ,
Magnetic Resonance Elastography of Brain Tumors: Preliminary Results, Acta Radiologica, vol.48, issue.3, p.32730, 2007. ,
DOI : 10.1080/02841850701199967
An optimised linear mechanical model for estimating brain shift caused by meningioma tumours, International Journal of Biomedical Science and Engineering, vol.1, issue.1, p.19, 2013. ,