Keywords: Neurofluids, Brain, glymphatic
Motivation: Accurately quantifying cerebrospinal fluid (CSF) outflow is essential for understanding its role in brain health and neurodegenerative diseases. Existing models fail to capture the complex dynamics of CSF flow.
Goal(s): Develop a robust model to better characterize CSF outflow, distinguishing fast bulk flow from slower, perfusion-like components.
Approach: We propose a bi-component model combining Gaussian and perfusion in general kinetic model (GKM) from gamma variate functions to represent fast and slow CSF outflow. Phantom studies and in-vivo imaging of healthy subjects using Time-SLIP technique.
Results: The bi-component model accurately fitted CSF outflow data, effectively distinguishing distinct flow components.
Impact: The bi-component model provides a more accurate characterization of CSF outflow dynamics, distinguishing fast and slow flow components. It offers potential for future studies on age-related changes in CSF outflow, aiding in early biomarkers in neurodegenerative disease research.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords