CSFsim: A Simulation Framework for Cerebrospinal Fluid Dynamics and Hydrocephalus Shunt Systems
OPEN ACCESS
Author / Producer
Date
2025
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
Altmetric
OPEN ACCESS
Data
Rights / License
Abstract
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.
Permanent link
Publication status
published
External links
Editor
Book title
Journal / series
Volume
Pages / Article No.
Publisher
Event
47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2025)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Organisational unit
09563 - Zeilinger, Melanie / Zeilinger, Melanie
Notes
Conference lecture on July 14, 2025
Funding
184913 - Quantitative study on the pathophysiology of hydrocephalus (SNF)
180545 - NCCR Automation (phase I) (SNF)
180545 - NCCR Automation (phase I) (SNF)