Sorry for the delay in replying.
To create the Colormap, I chose the mirroring image as Source model and the original CBCT as Target model. Is that step correct?
It really depends on what is the source model you want your vectors and distances to start from. This will determine the directionality in case you are doing signed distance computation, and in case you want to visualize vectors. Here are some examples that indicate how the selection of the source model will create distances and vectors oriented towards the target and how that will influence the sign of your distances.
So you basically choose what you want to show. I think when we did asymmetry studies we chose the original CBCT as source and the mirrored as target, but that should not matter as far as you are aware of how distances are computed when you are to report them.
The option signed_closets points creates a colormap with the same distances in every point (1), so the colormap has only one color, no matter the value I choose in every arrow, the range goes to 1 to 1
Do you see different magnitudes on the absolute_closest_point option? That is certainly weird. Would you be willing to send some snapshots or to share an example of your data to debug?
The option corresponding_point_to_point gives me error
Yes, unless you have the same number of points on both meshes you will not be able to use this option for the computation of measurements.
Once I get the Colormap and following the steps in the tutorial you told me, I am not sure the parameters I have to choose in the Shape Analysis Module to get the results I need (know if there are asymmetries between one hemimandibule and the other one).
Shape Analysis Module is only to represent a group of shapes with the same number of points (correspondence computation). If you wish to do so, there is a new tutorial that indicates how you can use your input meshes or input segmentations to calculate a correspondent version of your shapes for analysis using (for example) the option of corresponding_point_to_point in ModelToModel distance.
If you wish to visualize the closest_point (either signed or absolute) distances and vectors (these will always be the same for both of those options) you can use ShapePopulationViewer. Load your source model, that includes the distances/vectors computed with ModelToModel distance. You can also use our other quantification tools: MeshStatistics or Pick and Paint in case you are interested on specific areas of your mesh.
I hope that helps.