Maxime
Descoteaux1, Cheng Guan Koay2, Peter J. Basser2,
Rachid Deriche3
1Computer Science, Universit de Sherbrooke,
Sherbrooke, Qubec, Canada; 2National Institute of Child Health
and Human Development, Bethesda, MD, United States; 3INRIA Sophia
Antipolis - Mditerrane, Sophia Antipolis, France
We
present analytical q-ball imaging with optimal Generalized Cross Validation
(GCV)-based regularization. The method is the optimal extension of the
standard analytical q-ball imaging, normally implemented using a fixed
regularization λ = 0.006. QBI with optimal λ shows a distinct
advantage in generalized fractional anisotropy (GFA) computation when the
underlying structure is complex and in single fiber parts of real data.