Numerical simulations enhanced perfusion quantification in cerebrospinal fluid using Time-SLIP methods, suggesting better fluid dynamic visualization.
Motivation: Extending the General Kinetic Model (GKM) to Time-Spatial Labeling Inversion Pulse (Time-SLIP) cerebrospinal fluid (CSF). Goal(s): The goal is to extend the GKM to support Time-SLIP CSF acquisitions, improving perfusion measurement accuracy and fluid dynamic visualization. Approach: The study used numerical simulations and phantom experiments on a 3T MRI scanner to validate the extended GKM for both dark and bright Time-SLIP methods. Results: The extended GKM successfully quantified perfusion for dark and bright Time-SLIP, with less than 5% variation in perfusion coefficients across multiple configurations. The dark method yielded stronger perfusion signals, while the bright method provided superior visualization of fluid dynamics. Impact: The extension of GKM to Time-SLIP improves perfusion quantification and visualization of fluid dynamics, providing a more precise tool for studying conditions involving cerebrospinal fluid (CSF) movement. This opens possibilities for more complex fluid dynamic investigations.
No takes yet. Share an insight, caveat, or question.
Malis et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: