Train on real projected data

[springXIACJ]

When I used it on real projected data, the loss was very large and it never converged. But when I used the DRR generated by Tigre, there was no problem with training.

[Ruyi-Zha]

Hi, here are my suggested steps.

1. Review the real projection data and rescale it if values are excessively large or small.
2. Check the scanner geometry, ensuring parameters like DSD, DSO, dVoxel, and dDetector are consistent with the projection data’s unit.
3. If feasible, normalize the scene to a unit cube to align with our dataset standards.
4. Adjust hyperparameters, including the learning rate, and consider tuning bound, which should be larger than the half size of your region of interest.

It would be great if you could share more information about your real data so that I can try to figure out the problem.