Fig. 5.

Effects of smoothing and sample size on correlation of features to total mass. The sample images are generated as in Figure 2, and we look at two types of features: VBM (V), which considers voxel intensities, and OTF (O) which produces a mass allocation image out of a solution to the unbalanced optimal transport problem. The correlation strength is indicated in green at locations with statistical significance p < 0.05. VBM requires a large amount of smoothing (σ) and more samples (n) to find statistically significant correlations and results in weaker correlations than OTF with less smoothing and fewer samples. However, OTF with large smoothing can result in a loss of spatial resolution, which leads to the inclusion of large amounts of healthy tissue.