I am working with a data set of about 447 atrial fibrillation patients. I am looking at the left atrium and am having some trouble with my point correspondence. I was wondering if anyone had some advice on what parameters I should adjust to improve this correspondence? I have attached some screenshots of what my shapes are looking like and my current parameters.

I would first recommend targeting a lower number of particles and ensuring that you have a reasonable model there. I would suggest something like 256 particles, or even 128 to start. If there is not a good model at this level, further splits will just make things worse.

Besides that, I would recommend an initial_relative_weighting of 0.05 and a relative_weighting of 1.0 to start. I think you can reduce the number of iterations, probably 1000 per split and I wouldn’t worry too much about the optimization iterations until you confirm that you have a consistent correspondence, so I would set it to 500 iterations or so.

Also, did you try on a smaller dataset first, maybe 50 shapes instead of the full 447?