Proposal and Evaluation of a Parameter free segmented Multistep Algorithm to assess Diffusion Data with a combined IVIM-DKI Model

A recently proposed parameter-free segmented-multistep-algorithm was expanded to derive the model-parameters in a combined IVIM-DKI-diffusion-model. Its goodness-of-fit was compared with the simpler IVIM-diffusion-model. Diffusion-data-sets (6 volunteers,16 b-values) were acquired using a 3T-MR-scanner. A region-of-interest-analysis (abdominal organs, skeletal muscle) was performed and parametrical maps computed. Mean D-values significantly increased in all assessed organs when using the IVIM-DKI-model (all p< 0.02) accompanied by a significantly better fitting-curve in liver, pancreas and the renal medulla (all p< 0.02). We conclude that IVIM-DKI describes diffusion more accurately and might be used for more precise tissue-characterization without organ-specific adaptions using the proposed algorithm.

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