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. Author manuscript; available in PMC: 2015 Jun 1.
Published in final edited form as: Neuroimage. 2013 Jul 25;93 Pt 2:237–251. doi: 10.1016/j.neuroimage.2013.07.046

Figure 12.

Figure 12

Evaluation of the robustness of the algorithm: Fig. (a) indicates that the experimentally defined optimal weighting (left) can be approximated by a Gaussian kernel (right) that is centered and scaled such that MR values sampled from the lower layers of the gray matter are emphasized. (b) shows the experimental behavior of the Jensen–Shannon divergence (light blue curve) and other possible choices for the objective function during optimization (here, over 23 iterations).