CSFsim: A Simulation Framework for Cerebrospinal Fluid Dynamics and Hydrocephalus Shunt Systems.

This paper introduces a unified and open-source simulation framework for lumped-parameter models of cerebrospinal fluid (CSF) dynamics and hydrocephalus shunt systems. The framework enables the estimation of the underlying parameters of CSF models from physiological time series data to create a subject-specific model. A synthetic forcing generator is used to create customizable but realistic cardiovascular forcing signals as inputs to CSF models. Additionally, shunt systems with different physical properties and control strategies can be designed and integrated for closed-loop shunt simulations. The framework is based on a modular design, which allows for seamless adaptation and continuous improvement of the individual components in the simulation pipeline. To promote reproducibility and collaboration, we open-source the framework and provide the code at: https://gitlab.ethz.ch/ics/csfsim.Clinical relevance- The ability to accurately estimate the parameters of CSF models may provide clinicians with deeper insights into a patient's pathophysiology, enabling more personalized treatment decisions for hydrocephalus. Additionally, a unified simulation framework can support the development of new CSF models for fundamental research and the design of smart shunt systems for improved therapy outcomes.