Boundary conditions investigation to improve computer simulation of cerebrospinal fluid dynamics in hydrocephalus patients

Three-D head geometrical models of eight healthy subjects and 11 hydrocephalus patients were built using their CINE phase-contrast MRI data and used for computer simulations under three different inlet/outlet boundary conditions (BCs). The maximum cerebrospinal fluid (CSF) pressure and the ventricular system volume were more effective and accurate than the other parameters in evaluating the patients' conditions. In constant CSF pressure, the computational patient models were 18.5% more sensitive to CSF volume changes in the ventricular system under BC C. Pulsatile CSF flow rate diagrams were used for inlet and outlet BCs of BC C. BC C was suggested to evaluate the intracranial compliance of the hydrocephalus patients. The results suggested using the computational fluid dynamic (CFD) method and the fully coupled fluid-structure interaction (FSI) method for the CSF dynamic analysis in patients with external and internal hydrocephalus, respectively. Seifollah Gholampour et al. develop a computational model to examine the flow of cerebrospinal fluid (CSF) in hydrocephalus patients and healthy controls, and simulate how different biophysical parameters can influence CSF dynamics in the brain. Ultimately, their results could be used to better examine the CSF dynamics in a healthy or hydrocephalus brain, without the need for invasive procedures.

Automated summary

A computational model was developed to study cerebrospinal fluid flow in hydrocephalus patients and healthy controls, evaluating how different biophysical parameters impact CSF dynamics in the brain. Findings suggest CSF pressure and ventricular system volume are more effective in assessing patient conditions, while BC C is recommended for evaluating sensitivity to CSF volume changes. Use of CFD and FSI methods are suggested for CSF dynamic analysis in hydrocephalus patients.