My question pertains to the conversion of a model back to a segmentation.
Currently i want to overlay 2 CT scans to calculate the dice score between 2 femoral segmentations (preoperative and postoperative).
These CT’s are not in the same orientation and do not overlap.
I first segment both, convert them to a model and use SlicerIGT’s model registration to overlap these models. Then convert them back to a segmentation node and us slicerRT segment comparison to compute the dice score and hausdorff distances.
If i return both models back to a segmentation node, will there be a loss in quality or will the original segmentation stay intact?
Any suggestion to my way of approaching this would also be quite welcome.
Thank you in advance.