Fixed image:
Moving image:
the images come from different modalities and do not have labels/annotations. Though visually the center elliptical anatomy overlap, is there a way I can come up with a metric that only considers the center elliptical match/overlap performance?
I head about mutual histogram matching or mutual info. optimization but dont know how to implement that with ITK platform.
Any suggestions?
Hello @banikr,
If you have a region of interest and you want to use that in the registration you will need to explicitly create a mask representing it. Given this mask, the registration will only use voxels/pixels that are inside it for computing similarity.
Thanks
Even if I create an ellipsoid mask based on fixed image, how do I incorporate it in the codes? And how do I work with the metrics analysis?
Hello @banikr,
The ImageRegistrationMethod has SetMetricFixedMask and SetMetricMovingMask methods. Use those to set the mask(s) and then work with the ImageRegistrtaionMethod as usual, using the MetricEvaluate or SetOptimizerAsExhaustive to compute the metric values, see this notebook for code.