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颅骨内脑桥的体内运动。

In vivo pons motion within the skull.

作者信息

Ji Songbai, Margulies Susan S

机构信息

Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.

出版信息

J Biomech. 2007;40(1):92-9. doi: 10.1016/j.jbiomech.2005.11.009. Epub 2006 Jan 4.

Abstract

Finite element (FE) models are used to identify head injury mechanisms and design new and improved injury prevention schemes. Although brain-skull boundary conditions strongly influence the model mechanical responses, limited experimental data are available to develop an informed representation. We hypothesize that the spinal cord tension and gravity contribute to the pons displacement in vivo. Static high-resolution T1-weighted sagittal MR images of the inferior portion of the head in neutral and flexion positions were acquired in 15 human volunteers in both supine and prone postures. Boundaries of the pons and clivus were extracted with a gradient-based algorithm, and the pontes were fitted into ellipses. Assuming rigid body motion of the skull, image pairs in different postures were co-registered with an autocorrelation technique. By comparing images before and after the motion, we found that while the rotation of the pons is negligible relative to the skull, the pons displaces significantly at the foramen magnum, on the order of approximately 2 mm. When the spinal cord tension and gravity act in concert, the pons moves caudally; when opposed, superiorly, such that the influence of gravity on the pons is six times that of the spinal cord tension. Based on these findings, we recommend that the brainstem-skull interface be treated as a sliding (with or without friction) boundary condition in FE models of the human head.

摘要

有限元(FE)模型用于识别头部损伤机制并设计新的和改进的损伤预防方案。尽管脑-颅骨边界条件强烈影响模型的力学响应,但用于建立可靠表征的实验数据有限。我们假设脊髓张力和重力在体内导致脑桥移位。对15名人类志愿者在仰卧和俯卧姿势下头部下方在中立位和屈曲位的静态高分辨率T1加权矢状面磁共振图像进行采集。采用基于梯度的算法提取脑桥和斜坡的边界,并将脑桥拟合为椭圆。假设颅骨为刚体运动,使用自相关技术对不同姿势下的图像对进行配准。通过比较运动前后的图像,我们发现虽然脑桥相对于颅骨的旋转可忽略不计,但脑桥在枕骨大孔处有明显移位,位移量约为2毫米。当脊髓张力和重力共同作用时,脑桥向尾侧移动;当二者相反时,脑桥向上移动,重力对脑桥的影响是脊髓张力的六倍。基于这些发现,我们建议在人头的有限元模型中将脑干-颅骨界面视为滑动(有或无摩擦)边界条件。

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