Abstract #0872

On the anisotropy of IVIM-derived microvascular cerebral pseudo-diffusion: a physics-informed neural network approach

Paulien H.M. Voorter^1,2, Jacobus F.A. Jansen^1,2,3, Merel M. van der Thiel^1,2, Julie Staals^4,5, Robert-Jan van Oostenbrugge^2,4,5, Maud van Dinther^4,5, Walter H. Backes^1,2,5, and Gerhard S. Drenthen^1,2

¹Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands, ²School for Mental Health & Neuroscience, Maastricht University, Maastricht, Netherlands, ³Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, ⁴Department of Neurology, Maastricht University Medical Center, Maastricht, Netherlands, ⁵School for Cardiovascular Disease, Maastricht University, Maastricht, Netherlands

Synopsis

Acquisition of intravoxel incoherent motion (IVIM) images with diffusion sensitization in at least six directions (IVIM tensor imaging) provides the unique opportunity to non-invasively measure the anisotropy of both the parenchymal and microvascular diffusivity (D and D*). We demonstrate the feasibility of whole-brain IVIM tensor analysis by utilizing a physics-informed neural network fitting approach to achieve more accurate assessment of D, D*, and the corresponding tensors. The fractional anisotropy of D* (FA(D*)) was explored for different brain tissue regions, which revealed lower FA(D*) in cortical gray matter and higher FA(D*) in deep gray matter compared to white matter.

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