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MRISimulation +using ImageUtils: shepp_logan ##### simple example #### From 8d2a6cf3b8cd559fac74a2dd1bc83687b8e51c2d Mon Sep 17 00:00:00 2001 From: aTrotier Date: Fri, 13 Dec 2024 16:02:18 +0100 Subject: [PATCH 03/12] fix CS example --- docs/src/assets/kneeCG.png | Bin 116331 -> 154395 bytes docs/src/assets/kneeTV.png | Bin 104608 -> 118625 bytes docs/src/examples/exampleCS.jl | 7 ++++--- 3 files changed, 4 insertions(+), 3 deletions(-) diff --git a/docs/src/assets/kneeCG.png b/docs/src/assets/kneeCG.png index 91730bdfa664d89824646cf510df316b2a4078ae..812b1bbd66a7f6db801dd6a4e3908d9be26d66f0 100644 GIT binary patch literal 154395 zcmaI8bx>UW)-;MkaCaxTy9W0Ff#4F{CCK3J?(XgoTmyqU!{APE1_|yEPlW zTXk+tO-$SRj^-PqiiX0j;F)|bs6qmcUYk*(KXTL*&_ud@^fQgmT#m>5K#uf(|yADx4D0z&c1nrO*%ei!lrICkti%QFZ{-UE zb36-{+hKS^$ES>T5kwSV;Z5av!uw;w4gHt8nmrUwosSF!0SB;toCK%pZG6dc;~T+x zIyEoM>an@C?rg@Ac9elCt9RC1#Cu=r#lJ@x$G%SgeULZM{h3$ZNG`ICTB~cZw1W>{ zV8}CSPhMggOW0CXF;r#u^&bf)h2!RNLtazFo>H2XMIX)Yr=xryL&P3KUdAV+QDvw2 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zEd~lSj?(XDvK&T>r6(?bPU55@>Bw^NO)NQ(dQWyJb5(@{!6>GnQgY8YihY-v@ebMrJ0+sZZWragkUn~t+V z5YYXp;$As^eLYEQ|5CT6sw7We8ah4IM>MG=SU2hSs+CZi*@ z7k|=k$nlNzf*U{X5h3%}XF8nqMpSofNa8E6emPC(>KL=Ap_7kkMPKFULtPzgcBDxe zDQHW_ub$QNl5E9}Y%5dKLS;+RC4W*U5)6~MWbhvD?lm5`3dt#5(Kk*rzs`UEme6$< zsnl%%;Uz;$ran)cM}ZaCXWfrh`}-&HQ%dqf%)hF|-_UDp# Date: Fri, 13 Dec 2024 16:02:46 +0100 Subject: [PATCH 04/12] add HTTP for example --- docs/Project.toml | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/Project.toml b/docs/Project.toml index 82dd8046..5685e8b7 100644 --- a/docs/Project.toml +++ b/docs/Project.toml @@ -1,6 +1,7 @@ [deps] CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0" Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4" +HTTP = "cd3eb016-35fb-5094-929b-558a96fad6f3" ImageUtils = "8ad4436d-4835-5a14-8bce-3ae014d2950b" InteractiveUtils = "b77e0a4c-d291-57a0-90e8-8db25a27a240" Literate = "98b081ad-f1c9-55d3-8b20-4c87d4299306" From 253a9d4488fdaee77cf6d510708ecc52bec91948 Mon Sep 17 00:00:00 2001 From: aTrotier Date: Fri, 13 Dec 2024 16:08:01 +0100 Subject: [PATCH 05/12] update io example --- docs/src/examples/exampleIO.jl | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/src/examples/exampleIO.jl b/docs/src/examples/exampleIO.jl index 00a045eb..b8a5b08f 100644 --- a/docs/src/examples/exampleIO.jl +++ b/docs/src/examples/exampleIO.jl @@ -1,4 +1,4 @@ -using HTTP, PyPlot, MRIReco +using HTTP, CairoMakie, MRIReco if !isdir("brukerfileCart") HTTP.open("GET", "http://media.tuhh.de/ibi/mrireco/brukerfileCart.zip") do http From 6f375b6f27296f025b0f51f91f4852c5cb808723 Mon Sep 17 00:00:00 2001 From: aTrotier Date: Fri, 13 Dec 2024 16:09:26 +0100 Subject: [PATCH 06/12] update io --- docs/src/assets/bruker.png | Bin 7072 -> 13398 bytes 1 file changed, 0 insertions(+), 0 deletions(-) diff --git a/docs/src/assets/bruker.png b/docs/src/assets/bruker.png index 788c7f9f2bfcee835e42748723060d62f6d6fb29..16257c5fb5abf8498f0f274a2565ba9b240828cf 100644 GIT binary patch literal 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docs/src/examples/exampleCustom.jl | 1 + docs/src/examples/exampleFieldmap.jl | 1 + docs/src/examples/exampleIO.jl | 1 + 3 files changed, 3 insertions(+) diff --git a/docs/src/examples/exampleCustom.jl b/docs/src/examples/exampleCustom.jl index 5978f15e..0065ea3b 100644 --- a/docs/src/examples/exampleCustom.jl +++ b/docs/src/examples/exampleCustom.jl @@ -1,4 +1,5 @@ using Wavelets, DelimitedFiles, LinearAlgebra, PyPlot, MRIReco, MRIReco.RegularizedLeastSquares +include(joinpath(@__DIR__,"exampleUtils.jl")) function analyzeImage(x::Vector{T},D::Matrix{T},xsize::NTuple{2,Int64},psize::NTuple{2,Int64};t0::Int64=size(D,2),tol=1e-3) where T nx,ny = xsize diff --git a/docs/src/examples/exampleFieldmap.jl b/docs/src/examples/exampleFieldmap.jl index a673d8a7..6681b10a 100644 --- a/docs/src/examples/exampleFieldmap.jl +++ b/docs/src/examples/exampleFieldmap.jl @@ -1,5 +1,6 @@ using MRIReco, MRIReco.RegularizedLeastSquares, MRISimulation using ImageUtils: shepp_logan +include(joinpath(@__DIR__,"exampleUtils.jl")) ##### simple example #### diff --git a/docs/src/examples/exampleIO.jl b/docs/src/examples/exampleIO.jl index b8a5b08f..e8531b25 100644 --- a/docs/src/examples/exampleIO.jl +++ b/docs/src/examples/exampleIO.jl @@ -1,4 +1,5 @@ using HTTP, CairoMakie, MRIReco +include(joinpath(@__DIR__,"exampleUtils.jl")) if !isdir("brukerfileCart") HTTP.open("GET", "http://media.tuhh.de/ibi/mrireco/brukerfileCart.zip") do http From 92f9298d3f6fe13a055704dd8a50fd43c2eba7bd Mon Sep 17 00:00:00 2001 From: aTrotier Date: Fri, 13 Dec 2024 16:45:26 +0100 Subject: [PATCH 09/12] update sense --- docs/src/assets/senseReco.png | Bin 26353 -> 67513 bytes docs/src/examples/exampleSENSE.jl | 35 ++++++++++++++++++++---------- 2 files changed, 23 insertions(+), 12 deletions(-) diff --git a/docs/src/assets/senseReco.png b/docs/src/assets/senseReco.png index c8b1b237530bf23ec58fadf86400156c1c9a9ef8..70ad77efb5ff3288aa2d1c9cf439bfbbdc793b8b 100644 GIT binary patch literal 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100644 --- a/docs/src/examples/exampleSENSE.jl +++ b/docs/src/examples/exampleSENSE.jl @@ -1,5 +1,7 @@ -using PyPlot, MRIReco, MRIReco.RegularizedLeastSquares +using CairoMakie, MRIReco, MRIReco.RegularizedLeastSquares +using MRICoilSensitivities, MRISimulation +include(joinpath(@__DIR__,"exampleUtils.jl")) ##### simple example #### N = 256 @@ -26,22 +28,31 @@ acqData = simulation(I, params) params = Dict{Symbol, Any}() params[:reco] = "multiCoil" params[:reconSize] = (N,N) -params[:reg] = L2Regularization(1.e-3) -params[:iterations] = 40 +params[:reg] = L2Regularization(1.e-1) +params[:iterations] = 1 params[:solver] = CGNR params[:senseMaps] = coilsens params[:toeplitz] = false +params[:normalizeReg] = MeasurementBasedNormalization() + +@time Ireco_u = reconstruction(acqData, params) + +params[:iterations] = 40 @time Ireco = reconstruction(acqData, params) -# use PyPlot for interactive display -figure(1) -clf() -subplot(1,2,1) -title("Phantom") -imshow(abs.(I)) -subplot(1,2,2) -title("Reconstruction") -imshow(abs.(Ireco[:,:,1,1,1])) +# use CairoMakie for display +begin + colormap=:grays + f = Figure(size=(750,250)) + ax = Axis(f[1,1],title="Phantom") + heatmap!(ax,rotr90(abs.(I));colormap) + ax = Axis(f[1,2],title="Reconstruction iteration 1") + heatmap!(ax,rotr90(abs.(Ireco_u[:,:,1,1,1]));colormap) + ax = Axis(f[1,3],title="Reconstruction iteration 40") + heatmap!(ax,rotr90(abs.(Ireco[:,:,1,1,1]));colormap) + [hidedecorations!(f.content[ax]) for ax in eachindex(f.content)] + f +end # export images filename = joinpath(dirname(pathof(MRIReco)),"../docs/src/assets/senseReco.png") From 95090feef551ffce55b6d73ae2be5b272f89aa1c Mon Sep 17 00:00:00 2001 From: aTrotier Date: Fri, 13 Dec 2024 16:59:21 +0100 Subject: [PATCH 10/12] update trajectories --- docs/src/assets/trajectories.png | Bin 120052 -> 334329 bytes docs/src/examples/exampleTrajectories.jl | 48 +++++++++++------------ 2 files changed, 22 insertions(+), 26 deletions(-) diff --git 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7 deletions(-) diff --git a/docs/src/examples/exampleCustom.jl b/docs/src/examples/exampleCustom.jl index 0065ea3b..fcc59a12 100644 --- a/docs/src/examples/exampleCustom.jl +++ b/docs/src/examples/exampleCustom.jl @@ -1,4 +1,6 @@ -using Wavelets, DelimitedFiles, LinearAlgebra, PyPlot, MRIReco, MRIReco.RegularizedLeastSquares +using MRIReco, MRIFiles, MRIOperators +using MRIReco.MRIOperators.Wavelets, MRIReco.RegularizedLeastSquares +using DelimitedFiles, LinearAlgebra, CairoMakie include(joinpath(@__DIR__,"exampleUtils.jl")) function analyzeImage(x::Vector{T},D::Matrix{T},xsize::NTuple{2,Int64},psize::NTuple{2,Int64};t0::Int64=size(D,2),tol=1e-3) where T @@ -35,7 +37,7 @@ end function dictOp(D::Matrix{T},xsize::NTuple{2,Int64},psize::NTuple{2,Int64},tol::Float64=1.e-3) where T produ = x->analyzeImage(x,D,xsize,psize,tol=tol) ctprodu = x->synthesizeImage(x,D,xsize,psize) - return LinearOperator(prod(xsize)*size(D,2),prod(xsize),false,false + return LinearOperator(T,prod(xsize)*size(D,2),prod(xsize),false,false , produ , nothing , ctprodu ) @@ -44,9 +46,9 @@ end ## To test our method, let us load some simulated data and subsample it # phantom -img = readdlm("data/mribrain100.tsv") +img = readdlm(joinpath(@__DIR__,"data/mribrain100.tsv")) -acqData = AcquisitionData(ISMRMRDFile("data/acqDataBrainSim100.h5")) +acqData = AcquisitionData(ISMRMRDFile(joinpath(@__DIR__,"data/acqDataBrainSim100.h5"))) nx,ny = acqData.encodingSize # undersample kspace data @@ -56,7 +58,7 @@ acqData = sample_kspace(acqData, 2.0, "poisson", calsize=25,profiles=false); ## Load the Dictionary, build the sparsifying transform and perform the reconstruction # load the dictionary -D = ComplexF64.(readdlm("data/brainDict98.tsv")) +D = ComplexF32.(readdlm(joinpath(@__DIR__,"data/brainDict98.tsv"))) # some parameters px, py = (6,6) # patch size @@ -69,7 +71,7 @@ params[:reconSize] = (nx,ny) params[:iterations] = 50 params[:reg] = L1Regularization(2.e-2) params[:sparseTrafo] = dictOp(D,(nx,ny),(px,py),2.e-2) -params[:ρ] = 0.1 +params[:rho] = 0.1 params[:solver] = ADMM params[:absTol] = 1.e-4 params[:relTol] = 1.e-2 @@ -81,7 +83,7 @@ img_d = reconstruction(acqData,params) # For comparison, let us perform the same reconstruction as above but with a Wavelet transform delete!(params, :sparseTrafo) -params[:sparseTrafoName] = "Wavelet" +params[:sparseTrafo] = "Wavelet" img_w = reconstruction(acqData,params) @info "relative error: $(norm(img-img_w)/norm(img))" From 6e4760221746231439d885a5b8a4e9edcc344183 Mon Sep 17 00:00:00 2001 From: aTrotier Date: Mon, 16 Dec 2024 10:36:35 +0100 Subject: [PATCH 12/12] not working customExample --- docs/src/examples/exampleCustom.jl | 78 +++++++++++++++++++++--------- 1 file changed, 54 insertions(+), 24 deletions(-) diff --git a/docs/src/examples/exampleCustom.jl b/docs/src/examples/exampleCustom.jl index fcc59a12..1bc57b48 100644 --- a/docs/src/examples/exampleCustom.jl +++ b/docs/src/examples/exampleCustom.jl @@ -1,9 +1,9 @@ -using MRIReco, MRIFiles, MRIOperators +using MRIReco, MRIFiles, MRIOperators, MRISampling using MRIReco.MRIOperators.Wavelets, MRIReco.RegularizedLeastSquares using DelimitedFiles, LinearAlgebra, CairoMakie include(joinpath(@__DIR__,"exampleUtils.jl")) -function analyzeImage(x::Vector{T},D::Matrix{T},xsize::NTuple{2,Int64},psize::NTuple{2,Int64};t0::Int64=size(D,2),tol=1e-3) where T +function analyzeImage(res, x::Vector{T},D::Matrix{T},xsize::NTuple{2,Int64},psize::NTuple{2,Int64};t0::Int64=size(D,2),tol=1e-3) where T nx,ny = xsize px,py = psize x = reshape(x,nx,ny) @@ -18,10 +18,10 @@ function analyzeImage(x::Vector{T},D::Matrix{T},xsize::NTuple{2,Int64},psize::NT α[:,i,j] .= matchingpursuit(patch, x->D*x, x->transpose(D)*x, tol) end end - return vec(α) + return res .= vec(α) end -function synthesizeImage(α::Vector{T},D::Matrix{T},xsize::NTuple{2,Int64},psize::NTuple{2,Int64}) where T +function synthesizeImage(res, α::Vector{T},D::Matrix{T},xsize::NTuple{2,Int64},psize::NTuple{2,Int64}) where T nx,ny = xsize px,py = psize x = zeros(T,nx+px-1,ny+py-1) @@ -31,18 +31,17 @@ function synthesizeImage(α::Vector{T},D::Matrix{T},xsize::NTuple{2,Int64},psize x[i:i+px-1,j:j+py-1] .+= reshape(D*α[:,i,j],px,py) end end - return vec(x[1:nx,1:ny])/(px*py) + return res .= vec(x[1:nx,1:ny])/(px*py) end function dictOp(D::Matrix{T},xsize::NTuple{2,Int64},psize::NTuple{2,Int64},tol::Float64=1.e-3) where T - produ = x->analyzeImage(x,D,xsize,psize,tol=tol) - ctprodu = x->synthesizeImage(x,D,xsize,psize) + produ = (res,x)->analyzeImage(x,D,xsize,psize,tol=tol) + ctprodu = (res,x)->synthesizeImage(x,D,xsize,psize) return LinearOperator(T,prod(xsize)*size(D,2),prod(xsize),false,false , produ , nothing , ctprodu ) end - ## To test our method, let us load some simulated data and subsample it # phantom @@ -55,6 +54,14 @@ nx,ny = acqData.encodingSize acqData = sample_kspace(acqData, 2.0, "poisson", calsize=25,profiles=false); +# CS reconstruction using Wavelets +params = Dict{Symbol,Any}() +params[:reco] = "direct" +params[:reconSize] = (nx,ny) + +@time img_u = reconstruction(acqData,params) +@info "relative error: $(norm(img-img_u)/norm(img))" + ## Load the Dictionary, build the sparsifying transform and perform the reconstruction # load the dictionary @@ -70,38 +77,61 @@ params[:reco] = "standard" params[:reconSize] = (nx,ny) params[:iterations] = 50 params[:reg] = L1Regularization(2.e-2) -params[:sparseTrafo] = dictOp(D,(nx,ny),(px,py),2.e-2) +params[:sparseTrafo] = dictOp(D,(nx,ny),(px,py),2e-2) params[:rho] = 0.1 params[:solver] = ADMM params[:absTol] = 1.e-4 params[:relTol] = 1.e-2 +params[:normalizeReg] = MeasurementBasedNormalization() +params[:kwargWarning] = true -img_d = reconstruction(acqData,params) +@time img_d = reconstruction(acqData,params) @info "relative error: $(norm(img-img_d)/norm(img))" +# use CairoMakie for interactive display +begin + colormap=:grays + f = Figure(size=(1000,300)) + ax = Axis(f[1,1],title="Original") + heatmap!(ax,rotr90(abs.(img[:,:,1,1,1]));colormap) + ax = Axis(f[1,2],title="Undersampled") + heatmap!(ax,rotr90(abs.(img_u[:,:,1,1,1]));colormap) + ax = Axis(f[1,3],title="Wavelet") + heatmap!(ax,rotr90(abs.(img_w[:,:,1,1,1]));colormap) + ax = Axis(f[1,4],title="Dictionary") + heatmap!(ax,rotr90(abs.(img_d[:,:,1,1,1]));colormap) + [hidedecorations!(f.content[ax]) for ax in eachindex(f.content)] + f +end # For comparison, let us perform the same reconstruction as above but with a Wavelet transform -delete!(params, :sparseTrafo) +params = Dict{Symbol,Any}() +params[:reco] = "standard" +params[:reconSize] = (nx,ny) +params[:iterations] = 50 +params[:reg] = L1Regularization(2.e-2) params[:sparseTrafo] = "Wavelet" img_w = reconstruction(acqData,params) @info "relative error: $(norm(img-img_w)/norm(img))" -# use PyPlot for interactive display -figure(34) -clf() -subplot(2,2,1) -title("Original") -imshow(abs.(img[:,:,1,1,1])) -subplot(2,2,3) -title("Wavelet") -imshow(abs.(img_w[:,:,1,1,1])) -subplot(2,2,4) -title("Dictionary") -imshow(abs.(img_d[:,:,1,1,1])) - +# use CairoMakie for interactive display +begin + colormap=:grays + f = Figure(size=(1000,300)) + ax = Axis(f[1,1],title="Original") + heatmap!(ax,rotr90(abs.(img[:,:,1,1,1]));colormap) + ax = Axis(f[1,2],title="Undersampled") + heatmap!(ax,rotr90(abs.(img_u[:,:,1,1,1]));colormap) + ax = Axis(f[1,3],title="Wavelet") + heatmap!(ax,rotr90(abs.(img_w[:,:,1,1,1]));colormap) + ax = Axis(f[1,4],title="Dictionary") + heatmap!(ax,rotr90(abs.(img_d[:,:,1,1,1]));colormap) + [hidedecorations!(f.content[ax]) for ax in eachindex(f.content)] + f +end # export images filename = joinpath(dirname(pathof(MRIReco)),"../docs/src/assets/brainOrig.png")
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b/docs/src/examples/exampleCS.jl index 1cf81411..98850fb1 100644 --- a/docs/src/examples/exampleCS.jl +++ b/docs/src/examples/exampleCS.jl @@ -1,5 +1,6 @@ -using PyPlot, MRIReco, MRIReco.RegularizedLeastSquares - +using CairoMakie, MRIReco, MRIReco.RegularizedLeastSquares +using MRIFiles, MRISampling, MRICoilSensitivities +include(joinpath(@__DIR__,"exampleUtils.jl")) # load fully sampled data f = ISMRMRDFile(@__DIR__()*"/data/knee_3dFSE_slice170.h5") acqData = AcquisitionData(f); @@ -58,21 +59,21 @@ params[:normalizeReg] = MeasurementBasedNormalization() img_tv = reconstruction(acqDataSub, params) -# use PyPlot for interactive display -figure(1) -clf() -subplot(2,2,1) -title("Phantom") -imshow(abs.(img[:,:,1,1,1])) -subplot(2,2,2) -title("Mask") -imshow(abs.(msk)) -subplot(2,2,3) -title("CG Reconstruction") -imshow(abs.(img_cg[:,:,1,1,1])) -subplot(2,2,4) -title("TV Reconstruction") -imshow(abs.(img_tv[:,:,1,1,1])) +begin + colormap=:grays + f = Figure(size=(800,800)) + ax = Axis(f[1,1],title="Phantom") + heatmap!(ax,rotr90(abs.(img[:,:,1,1,1]));colormap) + ax = Axis(f[1,2],title="Mask") + heatmap!(ax,rotr90(abs.(msk));colormap) + ax = Axis(f[2,1],title="CG Reconstruction") + heatmap!(ax,rotr90(abs.(img_cg[:,:,1,1,1]));colormap) + ax = Axis(f[2,2],title="TV Reconstruction") + heatmap!(ax,rotr90(abs.(img_tv[:,:,1,1,1]));colormap) + [hidedecorations!(f.content[ax]) for ax in eachindex(f.content)] + f +end + # export images filename = joinpath(dirname(pathof(MRIReco)),"../docs/src/assets/kneeOrig.png") @@ -82,4 +83,4 @@ exportImage(filename, abs.(msk[:,:,1,1,1]) ) filename = joinpath(dirname(pathof(MRIReco)),"../docs/src/assets/kneeCG.png") exportImage(filename, abs.(img_cg[:,:,1,1,1]) ) filename = joinpath(dirname(pathof(MRIReco)),"../docs/src/assets/kneeTV.png") -exportImage(filename, abs.(img_tv[:,:,1,1,1]) ) +exportImage(filename, abs.(img_tv[:,:,1,1,1]) ) \ No newline at end of file diff --git a/docs/src/examples/exampleUtils.jl b/docs/src/examples/exampleUtils.jl new file mode 100644 index 00000000..17fad3e8 --- /dev/null +++ b/docs/src/examples/exampleUtils.jl @@ -0,0 +1,11 @@ +using CairoMakie +function exportImage(filepath::AbstractString,img) + f = Figure(figure_padding = 0) + ax=Axis(f[1,1],aspect=1) + heatmap!(ax,rotr90(img ),colormap=:grays) + hidedecorations!(ax) + colsize!(f.layout, 1, Aspect(1,1)) + resize_to_layout!(f) + f + save(filepath,f) +end \ No newline at end of file diff --git a/docs/src/gettingStarted.md b/docs/src/gettingStarted.md index 300ada89..2815a779 100644 --- a/docs/src/gettingStarted.md +++ b/docs/src/gettingStarted.md @@ -1,12 +1,10 @@ # Getting Started Throughout the entire documentation we assume that you have loaded `MRIReco` -as well as `PyPlot` via +as well as `CairoMakie` via ```julia -using PyPlot, MRIReco +using CairoMakie, MRIReco ``` -Its important to load these packages in that order, since otherwise `PyPlot` -will not work correctly on some systems. All examples discussed in the documentation can be found in the package source code in the folder @@ -71,7 +69,7 @@ Ireco = reconstruction(acqData, params) The resulting image is of type `AxisArray` and has 5 dimensions. One can display the image object by calling ```julia -imshow(abs.(Ireco[:,:,1,1,1])) +heatmap(abs.(Ireco[:,:,1,1,1])) ``` Alternatively one can store the image into a file, which will be discussed in the section on [Images](@ref). 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