Abstract #0796

Characterizing blood and cerebrospinal fluid flow by D* tensor derived from intravoxel-incoherent-motion-diffusion-tensor-imaging

Paulien Voorter^1,2, Gerald Drenthen^1,2, Merel van der Thiel^1,2,3, Julie Staals^4,5, Oliver Gurney-Champion^6,7, Alida Postma^1,2, Robert van Oostenbrugge^2,4,5, Jacobus Jansen^1,2,8, and Walter Backes^1,2,5

¹Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands, ²School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands, ³Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, Netherlands, ⁴Department of Neurology, Maastricht University Medical Center, Maastricht, Netherlands, ⁵School for Cardiovascular Disease, Maastricht University, Maastricht, Netherlands, ⁶Department of Radiology and Nuclear Imaging, Amsterdam UMC location University of Amsterdam, Amsterdam, Netherlands, ⁷Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, Netherlands, ⁸Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands

Synopsis

Keywords: IVIM, Diffusion/other diffusion imaging techniques

Motivation: A deeper understanding of brain physiology and pathology can be provided with an intravoxel-incoherent-motion-diffusion-tensor-imaging (IVIM-DTI) MR scan, which simultaneously measures blood and cerebrospinal fluid (CSF) flow and flow directions; parenchymal anisotropy; and microvascular perfusion.

Goal(s): To demonstrate the feasibility of IVIM-DTI to provide a proxy for blood and CSF flow.

Approach: A tensor of the pseudo-diffusion component (D*) was derived from IVIM-DTI and related to arterial and ventricular physiology.

Results: D* ellipsoids align well with arterial blood and CSF flow. D*’s magnitude and anisotropy correspond to the expected flow in arteries and ventricles, indicating the technique's ability of characterizing flow dynamics.

Impact: Assessing blood and cerebrospinal fluid flow with intravoxel-incoherent-motion-diffusion-tensor-imaging (IVIM-DTI) alongside traditional IVIM and DTI measures can provide comprehensive pathophysiological insights into neurological conditions. The finding that these physiological processes contribute to IVIM-derived f and D* is important for their interpretation.

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