[Rtk-users] 4D Phase-correlated Reconstruction

Simon Rit simon.rit at creatis.insa-lyon.fr
Wed May 13 05:01:05 EDT 2020


Hi,
I think you should look at rtkfourdfdk
<https://github.com/SimonRit/RTK/blob/master/applications/rtkfourdfdk/rtkfourdfdk.cxx>
which does what you want. rtk::SelectOneProjectionPerCycleImageFilter will
select the projections for you. Can you try to reimplement this in Python?
We'll help if you're stuck but this is the right file to use as a basis for
your dev.
Simon

On Wed, May 13, 2020 at 8:07 AM Zhang, Zhehao <zhehao.zhang at wustl.edu>
wrote:

>
>
> Dear all,
>
>
>
> I am trying to do the 4D phase-correlated CBCT reconstruction under Python
> environment. What I have are the projection data(.mha), geometry info(.xml)
> and the repiratory info(.txt). You can check the attachment for the phase
> file. I want just to simply ‘divide’ the projections and geometry into
> different bins according to the phase information and perform FDK recon
> separately, to get several different 3D images with streaks artifacts of
> course. The Rooster is not necessary for me.
>
>
>
> I have spent lot of time on the given ‘4DROOSTERReconstruction’ example. I
> think it used the ReorderProjectionsImageFilter order to do the separation.
> However, I am stuck on how to perform it for Python since I didn’t figure
> out how to read the phase.txt. Could you please give me some hints and is
> it correct to call this order to achieve my goals?
>
>
>
> Additionally, I also saw another test example(
> https://github.com/SimonRit/RTK/blob/master/test/rtkwarpprojectionstacktofourdtest.cxx)
> which seems using ‘PhasesToInterpolationWeights’ ,
> ‘BackProjectionImageFilter’ and ‘DivideImageFilter ‘ to do this. I am
> confused I should follow which way. And I also want to make sure why here
> using BackProjectionImageFilter rather than FDKConeBeamReconstructionFilter.
>
>
>
> Sorry for these cumbersome questions. Really hope to get some help, which
> means a lot for me. Thank you very much.
>
>
>
> Sincerely,
>
> Zhehao
>
>
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