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Abstract #0801

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

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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