Shim Eun Bo, Heldt Thomas
Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:4544-4547. doi: 10.1109/EMBC.2018.8513150.
The biomechanics of the cerebral venous system plays an important role in determining blood flow to the brain. Computational approaches to help elucidate the role of the cerebral venous system in health and disease have largely focused on lumped-parameter models and one-dimensional computational fluid dynamics simulations. To expand upon the prior work, and to investigate the possible role of cerebral venous collapse in normal physiology and pathological conditions, we developed a fluid-structure interaction (FSI) model of the cerebral venous transverse sinus (TS), coupled to a lumpedparameter representation of the upstream cerebral circulation to provide boundary conditions for the FSI simulation. We simulated the effects of local venous hemodynamics on the TS distention and investigated TS vascular collapse under increased intracranial pressure, as has been hypothesized in the pathogenesis of idiopathic intracranial hypertension. Our baseline simulations reproduced pressures and flows in the cerebral venous system that compared favorably with what has been reported in the literature. The FSI simulations under increased intracranial pressure showed a decreased venous flow through and progressive collapse of the TS veins. Our simulations captured the dynamic behavior of the vascular collapse and may help shed light on the interactions between the cerebrovascular and cerebrospinal fluid spaces in health and disease.
脑静脉系统的生物力学在决定脑血流量方面起着重要作用。有助于阐明脑静脉系统在健康和疾病中作用的计算方法主要集中在集总参数模型和一维计算流体动力学模拟上。为了扩展先前的工作,并研究脑静脉塌陷在正常生理和病理状况下的可能作用,我们开发了一种脑静脉横窦(TS)的流固耦合(FSI)模型,并将其与上游脑循环的集总参数表示相结合,以为FSI模拟提供边界条件。我们模拟了局部静脉血流动力学对TS扩张的影响,并研究了颅内压升高时TS血管塌陷的情况,正如特发性颅内高压发病机制中所假设的那样。我们的基线模拟重现了脑静脉系统中的压力和流量,与文献报道的结果相比具有优势。颅内压升高时的FSI模拟显示,通过TS静脉的血流减少,且TS静脉逐渐塌陷。我们的模拟捕捉到了血管塌陷的动态行为,可能有助于阐明健康和疾病状态下脑血管与脑脊液间隙之间的相互作用。