Abstract #0872
On the anisotropy of IVIM-derived microvascular cerebral pseudo-diffusion: a physics-informed neural network approach
Paulien H.M. Voorter1,2, Jacobus F.A. Jansen1,2,3, Merel M. van der Thiel1,2, Julie Staals4,5, Robert-Jan van Oostenbrugge2,4,5, Maud van Dinther4,5, Walter H. Backes1,2,5, and Gerhard S. Drenthen1,2
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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