Dear Laura,
Interesting, this option is mainly here for improving the memory
management. All it does is split your input stack in subsets to do the
reconstruction, thus only loading a few projections in the CPU and GPU
memory. This is not implemented in the backprojection because we usually
keep th
Dear all,
I am using the filter "rtkCudaBackProjectionImageFilter" with Python-Wrapping
for a self-implemented iterative algorithm. Right now, this backprojection (and
therefore my algorithm) is relatively slow since it does not use the full
capacity of my GPU.
I know that "rtkCudaFDKConeBeamRe
