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Abstract #3654

Reducing Rician noise bias in axial-symmetric Diffusion Kurtosis Imaging and biophysical tissue models

Jan Malte Oeschger1, Karsten Tabelow2, and Siawoosh Mohammadi1,3
1Institute of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 2Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany, 3Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

Five out of eight axial-symmetric Diffusion Kurtosis Imaging (AxDKI) parameters are directly related to biophysical microstructure parameters including intra- and extra-axonal diffusivities, fiber dispersion and axonal-water fraction. Their estimation, however, is biased at small signal-to-noise ratios (SNR). Here, based on simulations, we investigated the Rician noise bias’s effect and its correction (RBC) on estimated AxDKI and biophysical parameters at varying SNRs for the standard and AxDKI model. Our study suggests AxDKI to be better than standard DKI, here least biased AxDKI estimators were produced with RBC while for biophysical parameters results were branch-dependent (SNR≥23 with RBC and SNR≥33 without RBC).

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