In vivo modeling of interstitial pressure in the brain under surgical load using finite elements.
Current brain deformation models have predominantly reflected solid constitutive relationships generated from empirical ex vivo data and have largely overlooked interstitial hydrodynamic effects. In the context of a technique to update images intraoperatively for image-guided neuronavigation, we have developed and quantified the deformation characteristics of a three-dimensional porous media finite element model of brain deformation in vivo. Results have demonstrated at least 75-85 percent predictive capability, but have also indicated that interstitial hydrodynamics are important. In this paper we investigate interstitial pressure transient behavior in brain tissue when subjected to an acute surgical load consistent with neurosurgical events. Data are presented from three in vivo porcine experiments where subsurface tissue deformation and interhemispheric pressure gradients were measured under conditions of an applied mechanical deformation and then compared to calculations with our three-dimensional brain model. Results demonstrate that porous-media consolidation captures the hydraulic behavior of brain tissue subjected to comparable surgical loads and that the experimental protocol causes minimal trauma to porcine brain tissue. Working values for hydraulic conductivity of white and gray matter are also reported and an assessment of transient pressure gradient effects with respect to deformation is provided.
Miga
M I
MI
Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA. michael.miga@dartmouth.edu
Paulsen
K D
KD
Hoopes
P J
PJ
Kennedy
F E
FE
Hartov
A
A
Roberts
D W
DW
D000818:Animals; D015982:Bias; D001696:Biomechanical Phenomena; D001921:Brain / Q000601:surgery*; D003198:Computer Simulation; D004195:Disease Models, Animal; D020342:Finite Element Analysis; D019586:Intracranial Hypertension / Q000175:diagnosis / Q000209:etiology* / Q000503:physiopathology*; D007431:Intraoperative Complications / Q000175:diagnosis / Q000209:etiology* / Q000503:physiopathology*; D008279:Magnetic Resonance Imaging; D011237:Predictive Value of Tests; D011312:Pressure; D013552:Swine; D014057:Tomography, X-Ray Computed