PDF version of this entire document

next up previous
Next: Effect of Noise Up: Results Previous: Validation using Warped Images


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.

Roy Schestowitz 2007-03-11