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Abstract #3508

Towards cerebrovascular 5D flow MRI

Luuk Jacobs1, Jonathan Nestmann1, Daniel Giese2, and Sebastian Kozerke1
1Institute of Biomedical Engineering, ETH and University Zurich, Zurich, Switzerland, 2Magnetic Resonance, Siemens Healthineers AG, Forchheim, Germany

Synopsis

Keywords: Flow, Flow, Cerebrovascular 5D Flow MRI

Motivation: Cardiac- and respiratory-phase resolved quantification of high-resolution 3D velocity vector fields for studying breathing-induced flow modulation in the brain and improving interventional treatment strategies.

Goal(s): Implement and investigate feasibility of cerebrovascular 5D flow MRI

Approach: Venous 5D flow MRI data were acquired during coached breathing, subsequently split into multiple configurations of two respiratory states, and reconstructed using state-of-the-art deep learning methods, followed by a time-domain analysis of various hemodynamic parameters.

Results: Respiratory modulation of mean flow, amplitude, mean vorticity, and mean massic kinetic energy could be visualized and quantified for segments in healthy venous flow.

Impact: We demonstrate the feasibility of high-resolution cerebrovascular 5D flow MRI of venous flow, facilitating quantification of respiratory modulation of 3D velocity fields and derived hemodynamic parameters, providing a framework for improved understanding of cerebral flow dynamics.

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Keywords