In vivo modeling of interstitial pressure in a porcine model: approximation of poroelastic properties and effects of enhanced anatomical structure modeling

被引:4
作者
Narasimhan, Saramati [1 ]
Weis, Jared A. [2 ]
Gonzalez, Hernan F. J. [1 ]
Thompson, Reid C. [3 ]
Miga, Michael, I [1 ]
机构
[1] Vanderbilt Univ, Dept Biomed Engn, Nashville, TN 37235 USA
[2] Wake Forest Sch Med, Dept Biomed Engn, Winston Salem, NC USA
[3] Vanderbilt Univ, Med Ctr, Dept Neurol Surg, Nashville, TN USA
关键词
computational modeling; biomechanics; finite element modeling; poroelastic; brain; pressure gradient;
D O I
10.1117/1.JMI.5.4.045002
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
The purpose of this investigation is to test whether a poroelastic model with enhanced structure can capture in vivo interstitial pressure dynamics in a brain undergoing mock surgical loads. Using interstitial pressure data from a porcine study, we use an inverse model to reconstruct material properties in an effort to capture these in vivo brain tissue dynamics. Four distinct models for the reconstruction of parameters are investigated (full anatomical condition description, condition without dural septa description, condition without ventricle boundary description, and the conventional fully saturated model). These models are systematic in their development to isolate the influence of three model characteristics: the dural septa, the treatment of the ventricles, and the treatment of the brain as a saturated media. This study demonstrates that to capture appropriate pressure compartmentalization, interstitial pressure gradients, pressure transient effects, and deformations within the brain, the proposed boundary conditions and structural enhancement coupled with a heterogeneous description invoking partial saturation are needed in a biphasic poroelastic model. These findings suggest that with enhanced anatomical modeling and appropriate model assumptions, poroelastic models can be used to capture quite complex brain deformations and interstitial pressure dynamics. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
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页数:11
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