A Novel Approach for Statistical Estimation of HARDI Diffusion Parameters from Rician and Non-Central Chi Magnitude Images
Divya Varadarajan 1 and Justin P Haldar 1
Electrical Engineering, University of
Southern California, Los Angeles, CA, United States
Noisy MRI magnitude and root sum-of-squares (SoS) images
follow the Rician and non-central chi distribution
respectively. In diffusion MRI, estimation of diffusion
parameters can be inaccurate due to the noise bias
introduced by these distributions. This work presents a
new approach to model and estimate HARDI parameters from
Rician and non-central chi data. We show estimation
results from both simulated and noisy real data, and
demonstrate how this method can improve estimation
compared to existing approaches.
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