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https://github.com/Image-X-Institute/TopasOpt

Optimisation for topas Monte Carlo
https://github.com/Image-X-Institute/TopasOpt

medical-physics optimization radiation-transport topasmc

Last synced: 19 days ago
JSON representation

Optimisation for topas Monte Carlo

Host: GitHub
URL: https://github.com/Image-X-Institute/TopasOpt
Owner: Image-X-Institute
License: mit
Created: 2022-02-04T05:25:27.000Z (over 2 years ago)
Default Branch: master
Last Pushed: 2024-03-26T23:11:29.000Z (3 months ago)
Last Synced: 2024-05-14T05:01:08.869Z (about 2 months ago)
Topics: medical-physics, optimization, radiation-transport, topasmc
Language: Python
Homepage: https://image-x-institute.github.io/TopasOpt/
Size: 40.4 MB
Stars: 5
Watchers: 1
Forks: 1
Open Issues: 5
Metadata Files:
- Readme: README.md
- License: LICENSE.md

Lists

awesome-medphys - TopasOpt - ![Static Badge](https://img.shields.io/badge/Python-stuff?style=flat&logo=python&color=lime) provides a framework for performing optimisation on monte carlo radiation transport simulations using [TOPAS](https://www.google.com/search?channel=fs&client=ubuntu&q=topas+MC). [![PyPI version](https://badge.fury.io/py/TopasOpt.svg)](https://badge.fury.io/py/TopasOpt) (Libraries)

README

        # TopasOpt

![](docsrc/_resources/interrogate_badge.svg) [![codecov](https://codecov.io/gh/Image-X-Institute/TopasOpt/graph/badge.svg?token=0FSEO19LCD)](https://codecov.io/gh/Image-X-Institute/TopasOpt)![test](https://github.com/ACRF-Image-X-Institute/TopasOpt/actions/workflows/run_tests.yml/badge.svg) ![docs](https://github.com/ACRF-Image-X-Institute/TopasOpt/actions/workflows/build-docs.yml/badge.svg)[![PyPI version](https://badge.fury.io/py/TopasOpt.svg)](https://badge.fury.io/py/TopasOpt)

This code provides a framework for performing optimisation on monte carlo radiation transport 

simulations using [TOPAS](https://www.google.com/search?channel=fs&client=ubuntu&q=topas+MC).

## Install and Requirements

To install: ```pip install TopasOpt```

- You require a working installation of [topas](https://topas.readthedocs.io/en/latest/getting-started/intro.html) to run the code.

- This code will only run on linux or mac (as will topas)

- python3.8 or greater is required.

## Usage and Documentation

Detailed documentation is provided [here](https://image-x-institute.github.io/TopasOpt/)

The source code for the [worked examples](https://image-x-institute.github.io/TopasOpt/worked_examples.html) is inside the examples folder.

## Directory Structure

- **TopasOpt:** source code

- **examples:** source code for the [worked examples](https://image-x-institute.github.io/TopasOpt/worked_examples.html) provided in the docs

- **docsrc:** markdown/rst documentation.

- **tests:** tests which are run through github actions

## Citation

This code is described in [this paper](https://aapm.onlinelibrary.wiley.com/doi/10.1002/mp.16126).

If you use this code in your work, please cite this paper!

```bibtex

@article{whelan_topasopt_2022,

	title = {{TopasOpt}: {An} open-source library for optimization with {Topas} {Monte} {Carlo}},

	shorttitle = {{TopasOpt}},

	journal = {Medical Physics},

	author = {Whelan, Brendan and Loo Jr, Billy W. and Wang, Jinghui and Keall, Paul},

	year = {2022},

	note = {Publisher: Wiley Online Library},

}

```