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Abstract #2593

Using Spherical Harmonic Functions for Residual Bootstrap Analysis of HARDI

Bagrat Amirbekian 1,2 and Roland G. Henry 1,2

1 Graduate Program in Bioengineering, UC San Francisco and UC Berkeley, San Francisco, CA, United States, 2 Neurology, UC San Francisco, San Francisco, CA, United States

Spherical harmonic (SH) functions have been widely used to fit HARDI data, but residual bootstrap methods have mostly focused on other models for fitting this data. Here we use the example of estimating SNR to show that bootstrap estimates, using the SH functions, are accurate for many choices of maximum SH order. Additionally we show that for good precision of those estimates, the maximum SH order must be high enough to fit the data well and low enough to preserve sufficient degrees of freedom.

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