2sts-4dct-article

This repo contain code and data for "Time-resolved tomography algorithm using one projection per time step: non-monotonic case" article by Grigoriev M.V. & Buzmakov A.V.

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How to use

1. You have to Python 3.x installed in your OS.
2. Copy (or clone) this repo to your local folder.
3. Install required packages:

    pip install -r requirements.txt
   

4. Run JupyterLab:

   jupyter lab
   

5. Open 2sts_4dct_article.ipynb in JupyterLab

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Files description:

_fn.py — file with functions used

2sts_4dct_article.ipynb — Jupyter notebook with implementation of proposed algorithm and code for data calculation

2sts_4dct_article.py — corresponding Python file

bulk_data_8_8_1000.npy — result data for reconstruction of 1000 dynamic objects with 8 randomly placed channels of 8 pixels radius

bulk_data_16_4_1000.npy — result data for reconstruction of 1000 dynamic objects with 16 randomly placed channels of 4 pixels radius

bulk_data_32_2_1000.npy — result data for reconstruction of 1000 dynamic objects with 32 randomly placed channels of 2 pixels radius

requirements.txt — packages list with versions used

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