Dear CASToR users and developers,
I have a system with a large number of elements, which leads to a large sensitivity image generation time. (I am using list-mode/emission data - aka data with format t,id1,id2)
Thus I want to know, after a calculation of one sensitivity image, which reconstruction parameters can I change to reuse the previous sensitivity image.
There are someone more obvious, like FOV size, voxel size, offset and projector, data, convolutions?
But the ones like the optimizer, (e.g. MLEM vs OSL), penalties and its strength. I am particular curious about changing the beta value, the strength, if I can reuse it. I also assume that changing the iterations is indiferent.
Thank you very much in advance for the help,
Miguel