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README.md

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# SPECTrecon
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SPECT image reconstruction tools in Julia
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https://github.com/JeffFessler/SPECTrecon.jl
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https://github.com/JuliaImageRecon/SPECTrecon.jl
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[![action status][action-img]][action-url]
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[![pkgeval status][pkgeval-img]][pkgeval-url]
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Tested with Julia ≥ 1.6.
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<!-- URLs -->
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[action-img]: https://github.com/JeffFessler/SPECTrecon.jl/workflows/CI/badge.svg
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[action-url]: https://github.com/JeffFessler/SPECTrecon.jl/actions
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[build-img]: https://github.com/JeffFessler/SPECTrecon.jl/workflows/CI/badge.svg?branch=main
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[build-url]: https://github.com/JeffFessler/SPECTrecon.jl/actions?query=workflow%3ACI+branch%3Amain
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[action-img]: https://github.com/JuliaImageRecon/SPECTrecon.jl/workflows/CI/badge.svg
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[action-url]: https://github.com/JuliaImageRecon/SPECTrecon.jl/actions
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[build-img]: https://github.com/JuliaImageRecon/SPECTrecon.jl/workflows/CI/badge.svg?branch=main
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[build-url]: https://github.com/JuliaImageRecon/SPECTrecon.jl/actions?query=workflow%3ACI+branch%3Amain
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[pkgeval-img]: https://juliaci.github.io/NanosoldierReports/pkgeval_badges/S/SPECTrecon.svg
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[pkgeval-url]: https://juliaci.github.io/NanosoldierReports/pkgeval_badges/S/SPECTrecon.html
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[code-blue-img]: https://img.shields.io/badge/code%20style-blue-4495d1.svg
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[code-blue-url]: https://github.com/invenia/BlueStyle
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[codecov-img]: https://codecov.io/github/JeffFessler/SPECTrecon.jl/coverage.svg?branch=main
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[codecov-url]: https://codecov.io/github/JeffFessler/SPECTrecon.jl?branch=main
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[codecov-img]: https://codecov.io/github/JuliaImageRecon/SPECTrecon.jl/coverage.svg?branch=main
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[codecov-url]: https://codecov.io/github/JuliaImageRecon/SPECTrecon.jl?branch=main
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[docs-stable-img]: https://img.shields.io/badge/docs-stable-blue.svg
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[docs-stable-url]: https://JeffFessler.github.io/SPECTrecon.jl/stable
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[docs-stable-url]: https://JuliaImageRecon.github.io/SPECTrecon.jl/stable
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[docs-dev-img]: https://img.shields.io/badge/docs-dev-blue.svg
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[docs-dev-url]: https://JeffFessler.github.io/SPECTrecon.jl/dev
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[docs-dev-url]: https://JuliaImageRecon.github.io/SPECTrecon.jl/dev
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[license-img]: http://img.shields.io/badge/license-MIT-brightgreen.svg?style=flat
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[license-url]: LICENSE
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[colprac-img]: https://img.shields.io/badge/ColPrac-Contributor's%20Guide-blueviolet

docs/lit/examples/1-overview.jl

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#---------------------------------------------------------
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# This page gives an overview of the Julia package
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# [`SPECTrecon`](https://github.com/JeffFessler/SPECTrecon.jl).
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# [`SPECTrecon`](https://github.com/JuliaImageRecon/SPECTrecon.jl).
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# ### Setup
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docs/lit/examples/2-rotate.jl

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#---------------------------------------------------------
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# This page explains the image rotation portion of the Julia package
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# [`SPECTrecon.jl`](https://github.com/JeffFessler/SPECTrecon.jl).
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# [`SPECTrecon.jl`](https://github.com/JuliaImageRecon/SPECTrecon.jl).
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# ### Setup
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docs/lit/examples/3-psf.jl

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#---------------------------------------------------------
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# This page explains the PSF portion of the Julia package
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# [`SPECTrecon.jl`](https://github.com/JeffFessler/SPECTrecon.jl).
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# [`SPECTrecon.jl`](https://github.com/JuliaImageRecon/SPECTrecon.jl).
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# ### Setup
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docs/lit/examples/4-mlem.jl

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#---------------------------------------------------------
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# This page illustrates ML-EM reconstruction with the Julia package
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# [`SPECTrecon`](https://github.com/JeffFessler/SPECTrecon.jl).
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# [`SPECTrecon`](https://github.com/JuliaImageRecon/SPECTrecon.jl).
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# ### Setup
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docs/lit/examples/5-2d.jl

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# This page describes how to perform 2D SPECT forward and back-projection
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# using the Julia package
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# [`SPECTrecon`](https://github.com/JeffFessler/SPECTrecon.jl).
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# [`SPECTrecon`](https://github.com/JuliaImageRecon/SPECTrecon.jl).
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# ### Setup

docs/lit/examples/6-dl.jl

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#=
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This page describes how to end-to-end train unrolled deep learning algorithms
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using the Julia package
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[`SPECTrecon`](https://github.com/JeffFessler/SPECTrecon.jl).
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[`SPECTrecon`](https://github.com/JuliaImageRecon/SPECTrecon.jl).
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This page was generated from a single Julia file:
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[6-dl.jl](@__REPO_ROOT_URL__/6-dl.jl).
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=#
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if isinteractive()
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url = "https://github.com/JeffFessler/SPECTrecon.jl/blob/main/data/trained-cnn-example-6-dl.bson?raw=true"
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url = "https://github.com/JuliaImageRecon/SPECTrecon.jl/blob/main/data/trained-cnn-example-6-dl.bson?raw=true"
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tmp = tempname()
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Downloads.download(url, tmp)
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cnn = BSON.load(tmp)[:cnn]

docs/lit/examples/7-osem.jl

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This page illustrates
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Ordered-subset expectation-maximization (OS-EM)
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image reconstruction with the Julia package
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[`SPECTrecon`](https://github.com/JeffFessler/SPECTrecon.jl).
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[`SPECTrecon`](https://github.com/JuliaImageRecon/SPECTrecon.jl).
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=#
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# ### Setup

docs/make.jl

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execute = isempty(ARGS) || ARGS[1] == "run"
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org, reps = :JeffFessler, :SPECTrecon
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org, reps = :JuliaImageRecon, :SPECTrecon
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eval(:(using $reps))
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using Documenter
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using Literate

docs/src/index.md

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CurrentModule = SPECTrecon
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```
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# Documentation for [SPECTrecon](https://github.com/JeffFessler/SPECTrecon.jl)
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# Documentation for [SPECTrecon](https://github.com/JuliaImageRecon/SPECTrecon.jl)
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## Overview
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