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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