Implementation of a spot (and later probably beam angle) optimiser in Julia.

Installation

1. Get access to the repo.
2. Clone the repo:

   git clone [email protected]:bellotti_r/differentiable-planning.git

3. Install Julia using the official instructions. You need to install version 1.8: juliaup add 1.8.
4. Open a Julia command line from within the JulianA repo by typing julia +1.8 in a terminal. Then type the following and hit enter to setup a development version of the Juliana package (i. e. local edits to the files will be visible when you import the package in a fresh session). The following command will download all dependencies and setup the package for local development. The bracket ] command will switch to the package manager mode of the Julia REPL, which makes it easier to deal with packages and environments.

   ] dev .

5. Test your installation in a Julia REPL. The first import will precompile Juliana, so please be a bit patient.

   using Juliana

6. (Optional) Install a Jupyter kernel for Julia. Open a Julia REPL in the repo directory, then type the following:

   using Pkg
   Pkg.add("IJulia")
   using IJulia
   notebook()

   The notebook() command will start a local Jupyter server and open a browser so you can start editing. The first two lines are needed only once for the installation of Jupyter itself.

Building documentation

julia docs/make.jl

TPS integration

This package is built such that it can support any TPS, in principle. To add a TPS, you have to create a type, e. g. TpsType, that is a subtype to Juliana.AbstractTps and implement the following methods for this type:

place_spots(tps::TpsType,
            ct::ScalarGrid,
            target_structure::Structure,
            preabsorber::String,
            gantry_angles,
            couch_angles,
            nozzle_extractions)

calculate_dose(tps::TpsType,
               resolution::Real,
               ct::ScalarGrid,
               plan::TreatmentPlan)

calculate_Dij_matrix(tps::TpsType,
                     ct::ScalarGrid,
                     plan::TreatmentPlan,
                     optimisation_points)

Currently implemented TPS:

• Fiona standalone
  Needs proprietary files. A path to these files is given to the constructor. Two paths are needed: To a directory that contains all the machine parameters and to the JAR file that contains the actual code of Fiona standalone.

Test coverage

You can get an overview over test coverage by running the following command from within the project root directory:

julia --project -E 'using LocalCoverage; coverage = generate_coverage("Juliana"; run_test = true)'