@@ -5,21 +5,11 @@ This example illustrates how to perform filtered back-projection (FBP)
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image reconstruction in CT
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using the Julia language.
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- This entire page was generated using a single Julia file:
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- [1-fbp .jl](@__REPO_ROOT_URL__/ct/1-fbp.jl) .
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+ This is under construction.
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+ See the demos in the Sinograms .jl package instead .
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=#
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- # md # In any such Julia documentation,
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- # md # you can access the source code
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- # md # using the "Edit on GitHub" link in the top right.
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-
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- # md # The corresponding notebook can be viewed in
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- # md # [nbviewer](https://nbviewer.org/) here:
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- # md # [`1-fbp.ipynb`](@__NBVIEWER_ROOT_URL__/ct/1-fbp.ipynb),
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- # md # and opened in [binder](https://mybinder.org/) here:
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- # md # [`1-fbp.ipynb`](@__BINDER_ROOT_URL__/ct/1-fbp.ipynb),
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-
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- # This is under construction.
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+ # srcURL
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#=
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First we add the Julia packages that are need for these examples.
@@ -86,14 +76,4 @@ jim(kr, kϕ, abs.(data), title="k-space data magnitude",
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end
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=#
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-
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- # ## Reproducibility
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-
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- # This page was generated with the following version of Julia:
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-
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- io = IOBuffer (); versioninfo (io); split (String (take! (io)), ' \n ' )
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-
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-
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- # And with the following package versions
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-
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- import Pkg; Pkg. status ()
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+ include (" ../../inc/reproduce.jl" )
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