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Abstract #4388

 Improved parameter maps calculation in IVIM-diffusion-weighted MRI using a noise compensation fitting model

Anna-Katinka Bracher1, Meinrad Beer1, Volker Rasche2, and Neubauer Henning1
1Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, Ulm, Germany, 2Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany

In standard diffusion-weighted imaging, the parameter maps are calculated based on a set of magnitude images. The standard fitting model of the parameter maps does not take a noise-induced bias into account. A noise offset model for Intravoxel Incoherent Motion (IVIM) in Diffusion Weighted Imaging (DWI) is introduced and the impact on diffusion parameter maps is evaluated for muscle and synovia of the knee joint. Parameter fitting using the noise-offset model results in faster signal decay of the fitted curve and therefore in increased diffusion coefficients compared to standard IVIM mapping.

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