Modelling of Brain Deformation After Decompressive Craniectomy

Hyperelastic finite element models, with either an idealized cylindrical geometry or with realistic craniectomy geometries, were used to explore clinical issues relating to decompressive craniectomy. The potential damage in the brain tissue was estimated by calculating the volume of material exceeding a critical shear strain. Results from the idealized model showed how the potentially damaged volume of brain tissue increased with an increasing volume of brain tissue herniating from the skull cavity and with a reduction in craniectomy area. For a given herniated volume, there was a critical craniectomy diameter where the volume exceeding a critical shear strain fell to zero. The effects of details at the craniectomy edge, specifically a fillet radius and a chamfer on the bone margin, were found to be relatively slight, assuming that the dura is retained to provide effective protection. The location in the brain associated with volume expansion and details of the material modeling were found to have a relatively modest effect on the predicted damage volume. The volume of highly sheared material in the realistic models of the craniectomy varied roughly in line with differences in the craniectomy area.

[1]  G. Franceschini,et al.  THE MECHANICS OF HUMAN BRAIN TISSUE , 2006 .

[2]  J. Melvin,et al.  Dynamic mechanical properties of human brain tissue. , 1969, Journal of biomechanics.

[3]  Simon Ameer-Beg,et al.  Biomedical Imaging: From Nano to Macro , 2008 .

[4]  R. Vashu,et al.  Decompressive craniectomy is indispensible in the management of severe traumatic brain injury , 2011, Acta Neurochirurgica.

[5]  Karol Miller,et al.  Real-Time Prediction of Brain Shift Using Nonlinear Finite Element Algorithms , 2009, MICCAI.

[6]  van der Tpj Tom Sande,et al.  Mechanical properties of brain tissue by indentation: interregional variation. , 2010, Journal of the mechanical behavior of biomedical materials.

[7]  D. Louis Collins,et al.  Design and construction of a realistic digital brain phantom , 1998, IEEE Transactions on Medical Imaging.

[8]  Songbai Ji,et al.  Parametric study of head impact in the infant. , 2007, Stapp car crash journal.

[9]  Lucia M. Li,et al.  Primary decompressive craniectomy for acute subdural haematomas: results of an international survey , 2012, Acta Neurochirurgica.

[10]  S. Kleiven Predictors for traumatic brain injuries evaluated through accident reconstructions. , 2007, Stapp car crash journal.

[11]  P. Hutchinson,et al.  A New Improved Method for Assessing Brain Deformation after Decompressive Craniectomy , 2014, PloS one.

[12]  J. Pickard,et al.  Effects of brain ventricular shape on periventricular biomechanics: a finite-element analysis. , 1999, Neurosurgery.

[13]  J. Koziol,et al.  Suboptimum hemicraniectomy as a cause of additional cerebral lesions in patients with malignant infarction of the middle cerebral artery. , 2001, Journal of neurosurgery.

[14]  G. Franceschinia,et al.  Brain tissue deforms similarly to filled elastomers and follows consolidation theory , 2006 .

[15]  J. Pickard,et al.  Decompressive craniectomy in traumatic brain injury: the randomized multicenter RESCUEicp study (www.RESCUEicp.com). , 2006, Acta neurochirurgica. Supplement.

[16]  Ron Kikinis,et al.  3D Slicer , 2012, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

[17]  K. Miller,et al.  Reassessment of brain elasticity for analysis of biomechanisms of hydrocephalus. , 2004, Journal of biomechanics.

[18]  T. Santarius,et al.  Decompressive craniectomy - operative technique and perioperative care. , 2012, Advances and technical standards in neurosurgery.

[19]  K. Kiening,et al.  Edema and brain trauma , 2004, Neuroscience.

[20]  D. Ellegala,et al.  Decompressive craniectomy: technical note , 2011, Acta neurologica Scandinavica.

[21]  Wenyi Yan,et al.  A modified human head model for the study of impact head injury , 2011, Computer methods in biomechanics and biomedical engineering.

[22]  Johannes Bernarding,et al.  High-resolution mechanical imaging of the human brain by three-dimensional multifrequency magnetic resonance elastography at 7T , 2014, NeuroImage.

[23]  Corina Stefania Drapaca,et al.  Aging impact on brain biomechanics with applications to hydrocephalus. , 2012, Mathematical medicine and biology : a journal of the IMA.

[24]  K. Miller,et al.  Constitutive model of brain tissue suitable for finite element analysis of surgical procedures. , 1999, Journal of biomechanics.

[25]  Valery V Tuchin,et al.  Glucose and mannitol diffusion in human dura mater. , 2003, Biophysical journal.

[26]  Peter J. Kirkpatrick,et al.  Decompressive craniectomy: past, present and future , 2013, Nature Reviews Neurology.

[27]  Angelos G. Kolias,et al.  Development of a Finite Element Model of Decompressive Craniectomy , 2014, PloS one.

[28]  Yongqiang Zhao,et al.  BRAINSDemonWarp: An Applicaton to Perform Demons Registration , 2009, The Insight Journal.

[29]  B. Ang,et al.  Biomechanical modeling of decompressive craniectomy in traumatic brain injury. , 2008, Acta neurochirurgica. Supplement.

[30]  J. Pickard,et al.  Decompressive craniectomy for traumatic brain injury: The jury is still out , 2011, British journal of neurosurgery.

[31]  David A. Boas,et al.  Tetrahedral mesh generation from volumetric binary and grayscale images , 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[32]  A. Constantinesco,et al.  Fifty years of brain tissue mechanical testing: from in vitro to in vivo investigations. , 2010, Biorheology.

[33]  E. Kuhl,et al.  Mechanics of the brain: perspectives, challenges, and opportunities , 2015, Biomechanics and Modeling in Mechanobiology.

[34]  K. Miller,et al.  On the unimportance of constitutive models in computing brain deformation for image-guided surgery , 2009, Biomechanics and modeling in mechanobiology.

[35]  E. H. Clayton,et al.  Quantitative imaging methods for the development and validation of brain biomechanics models. , 2012, Annual review of biomedical engineering.

[36]  Andreas A. Linninger,et al.  Medical Image Processing for Fully Integrated Subject Specific Whole Brain Mesh Generation , 2015 .

[37]  Xiaogai Li,et al.  Decompressive craniectomy (DC) at the non-injured side of the brain has the potential to improve patient outcome as measured with computational simulation , 2014, Acta Neurochirurgica.

[38]  Xiaogai Li,et al.  Finite element modeling of decompressive craniectomy (DC) and its clinical validation , 2015 .

[39]  B. Morrison,et al.  Region-specific tolerance criteria for the living brain. , 2007, Stapp car crash journal.

[40]  van Jaw Hans Dommelen,et al.  Mechanical properties of brain tissue: characterisation and constitutive modelling , 2009 .

[41]  F. Arikan,et al.  Decompressive craniectomy for the treatment of refractory high intracranial pressure in traumatic brain injury. , 2006, The Cochrane database of systematic reviews.

[42]  P. Kirkpatrick,et al.  Surgery for brain edema. , 2007, Neurosurgical focus.