We present a framework to compute a response function for each voxel using a fingerprinting approach and a per voxel, per compartment estimation of the fiber orientation distribution (FOD) function for diffusion MRI. The method first matches the powder-averaged signal to a database of candidate signals and estimates a unique FOD from this matched signal for each compartment. This is done by turning the candidate signals into continuous Legendre polynomials, leading to a set of linear equations to estimate coefficients of the FODs, without requiring a prior segmentation or averaging multiple response functions.
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