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. Author manuscript; available in PMC: 2015 Apr 1.
Published in final edited form as: Med Image Anal. 2014 Feb 5;18(3):460–471. doi: 10.1016/j.media.2014.01.003

Figure 8.

Figure 8

Quantitative analysis of the sensitivity of the proposed registration framework to the free model parameters. For the fraction of explained variance, (A), the inclusion of a significant portion of the modes of variation provides valuable benefits in terms of segmentation accuracy (i.e., up to κ = 0.99). However, inclusion of too many modes (i.e., κ = 0.9999) results in sub-optimal performance. For the model weighting parameter, (B), the estimated parameter value inferred from the model appears to be the near-optimal parameter value across the considered targets. For both parameters, the gray bar indicates the value used in the other presented experiments. Note, for (A) and (B) the accuracy measures are the result of a majority vote so that the effect of the parameter is not obfuscated by more sophisticated fusion algorithms.