Magnetic Resonance Linear Accelerator Imaging Data Motion and Margins Calculations
This project was initially created to analyse MR-Linac data in relation to pelvic organ motions and to provide data for adjustments to radiotherapy margins surrounding organs and malignant tumour.
Please read the related publication below for the full work and impact: < insert DOI >
The idea is to share this project for other researchers/clinicians/radiographers to use for looking at motion changes over different radiotherapy sessions. The aim is to get this project into a package or bunch of scripts to speed up the analysis of imaging data for radiotherapy margins.
Current radiotherapy processes require delineation of margins surrounding various clinical structures. However, to account for normal variations in physiological motions such as inhalation, exhalation, or bowel peristalsis, additional leeway needs to be provided on top of tumoral and structural margins. MRI image data can be used to assess how much motion occurs in the setting of radiotherapy treatment of patients with oncological conditions.
The scripts here were used to collate and compute domain-specific metrics such as 'mean of means' and standard deviations for calculation of systematic and random errors in radiotherapy delivery.
More updates to come in regards to this project:
[ ] finalize analysis code
[ Done! ] moving code to scripts - 28/2/2021
[ ] cleaning up code - PEP8 / linting
[ In progress ] adding more documentation
[ ] expand documentation
[ ] unit testing
[ Done! ] setup Zenodo and DOI - 10/3/2021
Please contact me for more information or if you'd like to collaborate.
If you are using code from this repository, please include a reference or citation as below:
Tang D. Magnetic Resonance Linear Accelerator Imaging Data Motion and Margins Calculations. GitHub repository. 2021. Available from: https://doi.org/10.5281/zenodo.4592608