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. Author manuscript; available in PMC: 2017 Feb 15.
Published in final edited form as: Neuroimage. 2015 Dec 9;127:158–172. doi: 10.1016/j.neuroimage.2015.11.061

Figure 1.

Figure 1

A flowchart illustrating the steps in the proposed method, detailed in Algo. 2. The input is a position for estimation and model-valued volumetric data. Then, kernel weights are computed from the product of spatial and data-adaptive factors and normalized to sum to one. Then, weights are distributed among the fiber compartments and multiplied by volume fraction. Finally, the estimated model is found by a clustering-based optimization procedure, detailed in Algo. 1.