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Abstract #3539

Non-Central Chi to Gaussian Transformation of Diffusion MRI Signals Improves Estimation of Fiber ODFs

Geng Chen1, Dinggang Shen1, and Pew-Thian Yap1

1Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

Many existing algorithms for estimation of the fiber orientation distribution function (ODF) inherently assume Gaussian noise distribution. Against this assumption, the non-central chi noise distribution of diffusion signals causes bias in fiber ODF estimation. In this work, we introduce a means of transforming the diffusion-weighted signals to have a Gaussian noise distribution with the help of the recently introduced x-q space non-local means (XQ-NLM) algorithm. We show that this signal mapping improves estimation of fiber ODFs.

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