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Abstract #2484

Image Downsampling Expedited Adaptive Least-squares (IDEAL) fitting improves IVIM analysis in the human kidney

Julia Stabinska1,2,3, Helge Jörn Zöllner1,2, Hans-Jörg Wittsack3, and Alexandra Ljimani3
1F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 2The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Diagnostic and Interventional Radiology, Heinrich Heine University Dusseldorf, Dusseldorf, Germany


Recent studies have shown that a three-compartment model is preferable when analyzing renal DWI signal, as the conventional bi-exponential IVIM fitting does not differentiate between pure water diffusion and incoherent intra-tubular fluid motion. However, triexponential IVIM modelling in the kidney is challenging due to suboptimal SNR of diffusion-weighted images. In the present study, we applied Image Downsampling Expedited Adaptive Least-squared (IDEAL) fitting, which utilizes image downsampling to generate high SNR images to iteratively update the initial model parameters until the final image resolution is reached, and achieved more reliable estimates of the IVIM-related parameters compared with the conventional fitting methods.

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