The table shows the in and out data resolution, the used equations and the memory consumption for all the processing steps for spatial filtering (SF) and FFT-based filtering (FFTBF). Note that the driver for the GPU is stored in the global memory, and it normally requires 100–200 MB.
Processing step
Resolution, SF
Memory consumption, SF
Resolution, FFTBF
Memory consumption, FFTBF
Lowpass filtering and downsampling of CT volumes
in
406 MB
in
294 MB
out
out
Filtering with 14 monomial filters and calculating the local structure tensor ((10), (11))
in
1376 MB
in
1791 MB
out
out
Lowpass filtering of the local structure tensor components (normalized convolution, (25))
in
1276 MB
in
720 MB
out
out
Calculating the tensor magnitude and mapping it with the M-function ((17), (18), (19), (13))
in
1376 MB
in
770 MB
out
out
Mapping the local structure tensor to the control tensor ((20), (22), (23))
in
1376 MB
in
770 MB
out
out
Lowpass filtering of the control tensor components (normalized convolution, (25))
in
1476 MB
in
820 MB
out
out
Filtering with 11 reconstruction filters, interpolating the control tensor on the fly, and calculating the denoised data (24)
in
2771 MB
in
2110 MB
out
out (three rounds×6 slices = 18 denoised slices in total)
