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Reconstruction Toolkit

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According to the [Nvidia Cuda documentation](https://docs.nvidia.com/cuda/), Nvidia provides wheels for [Windows](https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html#pip-wheels-installation-windows) and [Linux](https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#pip-wheels-installation-linux). The following command lines install the required libraries (which are not packaged by RTK, see [here](https://github.com/SimonRit/RTK/blob/master/.github/workflows/build-test-package.yml#L230)) ```...

Now builds with the remote module CudaCommon of ITK. Builds both as a remote module of ITK and as a standalone library. This MR replaces https://github.com/SimonRit/RTK/pull/427

See https://public.kitware.com/pipermail/rtk-users/2022-September/011229.html

This PR implements: - the use of the "yaw" angle - the use of optitrack information

There is currently a [nowrap](https://github.com/SimonRit/RTK/blob/master/wrapping/rtkReg1DExtractShroudSignalImageFilter.notwrap) file but more work than renaming is probably required to have it wrapped.

The following code works ``` import itk from itk import RTK as rtk ImageType = itk.Image[itk.F,3] emptyVol = rtk.constant_image_source(origin=[-63.5]*3, size=[128]*3,spacing=[1.]*3,ttype=ImageType) sl = rtk.draw_shepp_logan_filter(emptyVol) geometry = rtk.ThreeDCircularProjectionGeometry.New() geometry.AddProjection(600,1200,0.) emptyProj = rtk.constant_image_source(origin=[-127,-127,0.],...

Steps to reproduce : rtksimulatedgeometry -n 720 -a 180 -o g720.xml --sdd 0 rtkprojectshepploganphantom -g g720.xml -o sl720.mha --dimension 500,3 --spacing 1 rtkfdk -g g720.xml -o bpb.mha -p . -r...