[PyRERT: Python Research Environment for Radiation Therapy]

Kelin Luo; Xiangxiang Liu; Jinyou Hu; Zhao Xie; Lian Zou

doi:10.3969/j.issn.1671-7104.2023.02.004

[PyRERT: Python Research Environment for Radiation Therapy]

Zhongguo Yi Liao Qi Xie Za Zhi. 2023 Feb 8;47(2):135-139. doi: 10.3969/j.issn.1671-7104.2023.02.004.

[Article in Chinese]

Authors

Kelin Luo^{1

2}, Xiangxiang Liu^{1

2}, Jinyou Hu^{1

2}, Zhao Xie^{1

2}, Lian Zou^{1

2}

Affiliations

¹ Cancer Center of Sichuan Provincial People's Hospital, Chengdu, 610072.
² Medical Physics Laboratory of Sichuan Provincial People's Hospital, Chengdu, 610072.

PMID: 37096464
DOI: 10.3969/j.issn.1671-7104.2023.02.004

Abstract

Objective: The Python research environment for radiation therapy (PyRERT) is a set of business software for hospital physicists to conduct radiation therapy research.

Methods: Choose the open source Enthought Tool Suite（ETS） as the core external dependency library of PyRERT. PyRERT is divided into base layer, content layer and interaction layer, and each layer is composed of different functional modules.

Results: PyRERT V1.0 provide a good development environment for scientific research programming in DICOM RT file processing, batch processing of water tank scan data, digital phantom creation, 3D medical image volume visualization, virtual radiotherapy equipment driver, and film scan image analysis.

Conclusions: PyRERT enables the results of the research group to be iteratively inherited in the form of software. It's reusable basic classes and functional modules greatly improve the efficiency of scientific research task programming.

Keywords: radiation therapy; research environment; research programming.

Publication types

English Abstract

MeSH terms

Image Processing, Computer-Assisted*
Imaging, Three-Dimensional
Phantoms, Imaging
Software*