Merge

Project.toml

@@ -1,7 +1,7 @@
 name = "RadonKA"
 uuid = "86de8297-835b-47df-b249-c04e8db91db5"
 authors = ["Felix Wechsler (roflmaostc) <[email protected]>"]
-version = "0.6.0"
+version = "0.6.1"
 
 [deps]
 Atomix = "a9b6321e-bd34-4604-b9c9-b65b8de01458"

README.md

@@ -76,13 +76,19 @@ The following examples show case the ability of this package:
 # Citation
 This package was created as part of scientific work. Please consider citing it :)
 ```bibtex
-@misc{wechsler2024wave,
-      title={Wave optical model for tomographic volumetric additive manufacturing}, 
-      author={Felix Wechsler and Carlo Gigli and Jorge Madrid-Wolff and Christophe Moser},
-      year={2024},
-      eprint={2402.06283},
-      archivePrefix={arXiv},
-      primaryClass={physics.optics}
+@article{Wechsler:24,
+author = {Felix Wechsler and Carlo Gigli and Jorge Madrid-Wolff and Christophe Moser},
+journal = {Opt. Express},
+keywords = {3D printing; Computed tomography; Liquid crystal displays; Material properties; Ray tracing; Refractive index},
+number = {8},
+pages = {14705--14712},
+publisher = {Optica Publishing Group},
+title = {Wave optical model for tomographic volumetric additive manufacturing},
+volume = {32},
+month = {Apr},
+year = {2024},
+url = {https://opg.optica.org/oe/abstract.cfm?URI=oe-32-8-14705},
+doi = {10.1364/OE.521322},
 }
 ```
 

docs/src/geometries.md

@@ -92,3 +92,23 @@ simshow(projected_exp)
 ![](../assets/parallel_geometry_mu.png)
 
 
+### Spatially Varying Absorption
+
+The ray gets some attenuation with `exp(-μ*x)` where `μ` varies spatially.
+To represent this spatial variation, we can simply use an array for μ.
+
+```julia
+μ = 0.5 .* box((N, N), (2, 50));
+
+simshow(μ)
+```
+![](../assets/mu_spatially.png)
+
+
+```julia
+projected_1 = backproject(sinogram, angles, μ=μ);
+projected_2 = backproject(sinogram, angles .+ π / 4, μ=μ);
+
+[simshow(projected_1) simshow(projected_2)]
+```
+![](../assets/mu_spatially_backprojected.png)

examples/3_spatially_varying_absorption.jl

@@ -0,0 +1,194 @@
+### A Pluto.jl notebook ###
+# v0.19.40
+
+using Markdown
+using InteractiveUtils
+
+# ╔═╡ 009ad239-5f90-4c9e-9d3c-23d58cb5f4af
+begin
+	using Pkg
+	Pkg.activate(".")
+	Pkg.instantiate()
+	using Revise
+end
+
+# ╔═╡ aa5e0f2d-8b11-447d-be55-c84a1421cafd
+using Zygote, Optim, RadonKA, TestImages, ImageShow, Noise, Plots,PlutoUI,Statistics
+
+# ╔═╡ 7cfebbbc-e36f-474c-879d-dc0a8e360f6d
+using IndexFunArrays
+
+# ╔═╡ 059f357a-b1fc-4f6d-af5f-72ffd47cb64c
+using Optimization, OptimizationOptimisers, OptimizationOptimJL
+
+# ╔═╡ 3e7e2e30-cb85-4eb8-b4f5-b8b19ecade8c
+md"# Load packages
+On the first run, Julia is going to install some packages automatically. So start this notebook and give it some minutes to install all packages. 
+No worries, any future runs will be much faster to start!
+"
+
+# ╔═╡ 8abe2914-922f-4ea5-8d85-b435a22c897f
+TableOfContents()
+
+# ╔═╡ dad29ebd-c69b-42ed-aef4-6bfc76d59a32
+md"# 1. Load Image"
+
+# ╔═╡ 604ed50d-616c-4fc9-8adc-d2e29595c504
+img = Float32.(testimage("resolution_test_512"))[200:421, 200:421];
+
+# ╔═╡ a4e4eb4e-da5f-4f91-bbf9-73b983968c16
+simshow(img)
+
+# ╔═╡ 490f4bb3-6ab5-47be-b2cc-f30f13cc2721
+md"# 2. Specify Absorption map
+This is a ring of high absorption.
+
+Hence, a sample in the inner part of the absorption can not be measured well.
+"
+
+# ╔═╡ a89bbe2a-341c-4005-8243-f2c0cdcbd722
+μ = ((rr(img) .< 60) .-  (rr(img) .< 59)) * 1;
+
+# ╔═╡ b1b301d4-abab-4d07-9c00-3782db4a5ee4
+simshow(μ)
+
+# ╔═╡ 7e2d4d16-2ac5-4d44-b5f5-67f9343e59e0
+md"# 3. Create Sinogram"
+
+# ╔═╡ f82bfaa5-b394-4159-99d4-9cc859f12f32
+angles = range(0, 2π, 200)
+
+# ╔═╡ e9a404d0-e9bb-468c-9490-ec2d12039f20
+sinogram = radon(img, angles, μ=μ)
+
+# ╔═╡ 0bbef52a-e191-46c7-8aa0-ce105d07b54b
+simshow(sinogram)
+
+# ╔═╡ 32fa73fa-726d-4b03-bae1-f8094b7c4a5c
+md"# 4. Backproject"
+
+# ╔═╡ 32b2b1ca-aa80-4931-9d03-9f19340c1ca8
+img_b = backproject(sinogram, angles, μ=μ);
+
+# ╔═╡ 4e5e1bb1-eeb9-43f7-91a8-ba7b8b76dccd
+simshow(img_b)
+
+# ╔═╡ b7892246-8fe0-437c-a224-f1ca4661ef33
+md"# 5. Try with Optimization.jl
+The optimization is able to take this into account and can reconstruct a decent image.
+"
+
+# ╔═╡ 8a8e536a-c6a3-412b-b986-f33f2620429a
+measurement = (sinogram);
+
+# ╔═╡ d8edea79-7775-4718-9637-127df8b68715
+opt_f(x, p) = sum(abs2, radon(x, angles, μ=μ) .- measurement)
+
+# ╔═╡ 83c920b7-e932-4deb-ab4c-08ec4412f0c9
+opt_fun = OptimizationFunction(opt_f, AutoZygote())
+
+# ╔═╡ 06680604-1426-4f2f-963d-412b73f31c33
+init0 = zeros(size(img));
+
+# ╔═╡ 26af8e6e-4afa-4d73-9bbc-630e07bd6694
+opt_f(init0, angles)
+
+# ╔═╡ fd3a4f13-27c8-4766-9e58-07050aa1db2f
+problem = OptimizationProblem(opt_fun, init0, angles);
+
+# ╔═╡ 26015d23-e708-4ebc-b718-18bd5104000b
+@time res6 = solve(problem, OptimizationOptimJL.LBFGS(), maxiters=20)
+
+# ╔═╡ 5f5fb511-4b55-43bb-b8ac-f520e8b3bbc7
+simshow(res6)
+
+# ╔═╡ e6b5f0b8-e4c4-425a-905d-3678396d4dcc
+md"# 6 Scratch"
+
+# ╔═╡ 370d11ad-3b75-4013-8a1d-9439f1bf69b2
+angles2 = [0]
+
+# ╔═╡ 8909b583-1674-49eb-a17e-efe01cfb2154
+N = 200
+
+# ╔═╡ cc8c8da2-18a8-406e-9b22-b8bfa4b76c48
+sinogram2 = zeros((N - 1, length(angles2)))
+
+# ╔═╡ 775543bb-7c6d-46d5-91e1-cbcd980d22d5
+sinogram2[1:5:end] .= 1
+
+# ╔═╡ a97b5c18-921c-422c-a632-58b883f2e89c
+geometry_parallel = RadonParallelCircle(N, -(N-1)÷2:(N-1)÷2)
+
+# ╔═╡ 950f65be-8d23-4b97-ae39-821c48d86ea5
+projection_parallel = backproject(sinogram2, angles2; geometry=geometry_parallel);
+
+# ╔═╡ b63b4b08-0a57-4685-83d6-b0edf0192c28
+simshow(projection_parallel)
+
+# ╔═╡ 2ad8b60a-fa22-4bb2-9e2f-fb819436b229
+geometry_extreme = RadonFlexibleCircle(N, -(N-1)÷2:(N-1)÷2, zeros((199,)))
+
+# ╔═╡ 5addb1be-736c-4d6e-83ed-12e61908acdb
+μ2 = 0.5 .* box((N, N), (2, 50));
+
+# ╔═╡ 3cddcaf4-972e-4e6c-967d-a7ed66c70133
+simshow(μ2)
+
+# ╔═╡ 643831ed-7266-4f1c-ba71-44ebcc44701b
+begin
+	projected_1 = backproject(sinogram2, angles2, μ=μ2);
+	projected_2 = backproject(sinogram2, angles2 .+ π / 4, μ=μ2);
+
+	[simshow(projected_1) simshow(projected_2)]
+end
+
+# ╔═╡ e33dc483-bd00-4806-b319-139ce0df0756
+begin
+	projected_exp2 = backproject(sinogram2, angles2, μ=0.04);
+
+		simshow(projected_exp2)
+end
+
+# ╔═╡ Cell order:
+# ╠═3e7e2e30-cb85-4eb8-b4f5-b8b19ecade8c
+# ╠═8abe2914-922f-4ea5-8d85-b435a22c897f
+# ╠═009ad239-5f90-4c9e-9d3c-23d58cb5f4af
+# ╠═aa5e0f2d-8b11-447d-be55-c84a1421cafd
+# ╠═7cfebbbc-e36f-474c-879d-dc0a8e360f6d
+# ╟─dad29ebd-c69b-42ed-aef4-6bfc76d59a32
+# ╠═604ed50d-616c-4fc9-8adc-d2e29595c504
+# ╠═a4e4eb4e-da5f-4f91-bbf9-73b983968c16
+# ╟─490f4bb3-6ab5-47be-b2cc-f30f13cc2721
+# ╠═a89bbe2a-341c-4005-8243-f2c0cdcbd722
+# ╠═b1b301d4-abab-4d07-9c00-3782db4a5ee4
+# ╟─7e2d4d16-2ac5-4d44-b5f5-67f9343e59e0
+# ╠═f82bfaa5-b394-4159-99d4-9cc859f12f32
+# ╠═e9a404d0-e9bb-468c-9490-ec2d12039f20
+# ╠═0bbef52a-e191-46c7-8aa0-ce105d07b54b
+# ╟─32fa73fa-726d-4b03-bae1-f8094b7c4a5c
+# ╠═32b2b1ca-aa80-4931-9d03-9f19340c1ca8
+# ╠═4e5e1bb1-eeb9-43f7-91a8-ba7b8b76dccd
+# ╟─b7892246-8fe0-437c-a224-f1ca4661ef33
+# ╠═059f357a-b1fc-4f6d-af5f-72ffd47cb64c
+# ╠═8a8e536a-c6a3-412b-b986-f33f2620429a
+# ╠═d8edea79-7775-4718-9637-127df8b68715
+# ╠═83c920b7-e932-4deb-ab4c-08ec4412f0c9
+# ╠═26af8e6e-4afa-4d73-9bbc-630e07bd6694
+# ╠═06680604-1426-4f2f-963d-412b73f31c33
+# ╠═fd3a4f13-27c8-4766-9e58-07050aa1db2f
+# ╠═26015d23-e708-4ebc-b718-18bd5104000b
+# ╠═5f5fb511-4b55-43bb-b8ac-f520e8b3bbc7
+# ╠═e6b5f0b8-e4c4-425a-905d-3678396d4dcc
+# ╠═370d11ad-3b75-4013-8a1d-9439f1bf69b2
+# ╠═8909b583-1674-49eb-a17e-efe01cfb2154
+# ╠═cc8c8da2-18a8-406e-9b22-b8bfa4b76c48
+# ╠═775543bb-7c6d-46d5-91e1-cbcd980d22d5
+# ╠═a97b5c18-921c-422c-a632-58b883f2e89c
+# ╠═950f65be-8d23-4b97-ae39-821c48d86ea5
+# ╠═b63b4b08-0a57-4685-83d6-b0edf0192c28
+# ╠═2ad8b60a-fa22-4bb2-9e2f-fb819436b229
+# ╠═5addb1be-736c-4d6e-83ed-12e61908acdb
+# ╠═3cddcaf4-972e-4e6c-967d-a7ed66c70133
+# ╠═643831ed-7266-4f1c-ba71-44ebcc44701b
+# ╠═e33dc483-bd00-4806-b319-139ce0df0756