https://github.com/samuelpeet/flashgamma

Analysis of radiotherapy dose distributions
https://github.com/samuelpeet/flashgamma

medical-physics radiation-therapy

Last synced: 3 months ago
JSON representation

Analysis of radiotherapy dose distributions

• Host: GitHub
• URL: https://github.com/samuelpeet/flashgamma
• Owner: samuelpeet
• License: mit
• Created: 2018-09-25T01:06:20.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2023-02-22T02:36:31.000Z (over 1 year ago)
• Last Synced: 2024-07-05T15:44:31.911Z (4 months ago)
• Topics: medical-physics, radiation-therapy
• Language: Python
• Homepage:
• Size: 1.28 MB
• Stars: 28
• Watchers: 7
• Forks: 11
• Open Issues: 11
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-medphys - FlashGamma -  A python package for speedy analyses of 2D radiotherapy dose distributions. (Libraries)

README

        
# flashgamma

A python package for speedy analyses of 2D radiotherapy dose distributions.

## Installation

Installation is through `pip`. You must have `numpy` installed in your environment first. You may also wish to install matplotlib to run the examples.

    pip install numpy matplotlib

    pip install flashgamma

## Examples

Checkout the examples folder for details.

**Example 1** demonstrates how to perform a gamma analysis on some ArcCheck data:

![](./examples/images/eg1.png)

**Example 2** uses arbitrary `numpy` arrays:

![](./examples/images/eg2.png)

**Example 3** uses a `cython` based function to rapidly calculate gamma pass rates. That means you can analyse entire ranges of dose difference and distance to agreement criteria at once, generating interesting plots like this:

![](./examples/images/eg3.png)

## Caveats

This code was written for personal educational purposes. Although it was shown internally to perform similarly to a range of proprietary gamma analysis codes, it is in no way guaranteed to be free from bugs and errors.

## Literature

This software was featured in the following publication:

Samuel C. Peet, Liting Yu, Sarah Maxwell, Scott B. Crowe, Jamie V. Trapp, Tanya Kairn. (2020). "Exploring the gamma surface: A new method for visualising modulated radiotherapy quality assurance results". Physica Medica: European Journal of Medical Physics, Volume 78, 166-172. (https://doi.org/10.1016/j.ejmp.2020.09.021)