Proposal and Evaluation of a Parameter free segmented Multistep Algorithm to assess Diffusion Data with a combined IVIM-DKI Model
Moritz C Wurnig 1 , David Kenkel 1 , Lukas Filli 1 , and Andreas Boss 1
Institute of Diagnostic and Interventional
Radiology, University Hospital Zurich, Zurich, Zurich,
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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