Cerebrospinal fluid (CSF) plays a pivotal role in normal functioning of
Brain. Intracranial compartments such as blood, brain and CSF are
incompressible in nature. Therefore, if a volume imbalance in one of the
aforenoted compartments is observed, the other reaches out to maintain net
change to zero. Whereas, CSF has higher compliance over long term. However, if
the CSF flow is obstructed in the ventricles, this compliance may get exhausted
early. Brain tumor on the other hand poses a similar challenge towards
destabilization of CSF flow by compressing any section of ventricles thereby
ensuing obstruction. To avoid invasive procedures to study effects of tumor on
CSF flow, numerical-based methods such as Finite element modeling (FEM) are
used which provide excellent description of underlying pathological
interaction. A 3D fluid-structure interaction (FSI) model is developed to study
the effect of tumor growth on the flow of cerebrospinal fluid in ventricle
system. The FSI model encapsulates all the physiological parameters which may
be necessary in analyzing intraventricular CSF flow behavior. Findings of the
model show that brain tumor affects CSF flow parameters by deforming the walls
of ventricles in this case accompanied by a mean rise of 74.23% in CSF flow
velocity and considerable deformation on the walls of ventricles
