PDF version of this entire document

Sensitivity

Figure  shows the results of applying sensitivity analysis to the validation study. These demonstrate that Specificity is more sensitive (is able to detect smaller misregistrations) than the overlap-based approach, which is in turn more sensitive than Generalisation. Note from the error bars that these differences are statistically significant. Maximum sensitivity is achieved with a shuffle radius of 100#100 or 101#101. The most sensitive generalised overlap measure is obtained using label-complexity weighting.

Figure: The first mode (13#13 standard deviations) of an appearance model built automatically by group-wise registration.

102#102