CloudCompare forum

I am unfamiliar with the software industry and would like to measure the distance changes in pre-treatment and post-treatment CBCT images of my patients through heat maps.

I learned how to perform alignment through YouTube videos; however, the tutorials mostly focused on large objects or even wide terrain data.

What parameters should a heat map of approximately the size of an average human head have to provide the most accurate results for me?

Not sure to understand: by heat map, do you mean the color ramp used to represent the distance values? If yes, the steps/distances for the various colors should probably be based on their clinical significance, shouldn't they?

And if you are concerned by the accuracy of the result, then you should pay attention to how well both models are initially roughly registered (the closer the better), and then the major parameter is the overlap ratio (if the 2 objects are complete and don't have missing parts, then 100% should be the default. But if they have missing parts - at least one with respect to the other - or some particular parts went under important changes while some others didn't change - then the overlap ratio should represent the percentage of surface that was unchanged / not missing.