Author: Alvaro Daniel Cruz Cortes, Robin Enric Lopez Fonseca, Valeria Pérez Martínez 👨🔬
Affiliation: National Autonomous University of Mexico (UNAM), Faculty of Sciences, Biomedical Physics Program, National Autonomous University of Mexico (UNAM), Faculty of Sciences, National Autonomous University of Mexico (UNAM), Faculty of Sciences, Physics Program 🌍
Purpose: Automate and evaluate daily, monthly, and annual QC of IGRT systems, following the AAPM TG-198 protocol, through the development of a graphical user interface that enables efficient analysis and faster result consultation.
Methods: Using the TrueBeam and iX (Varian) equipment, tests such as image scaling, spatial resolution, contrast, uniformity, noise, coordinate alignment, beam quality, and SSD traversal for MV, kV, and CBCT images were automated. Python and JavaScript were employed as the main programming tools to develop the interface that enables the automation of QC registration, evaluation, and result consultation.
Results: The automated tests revealed image quality defects, such as uniformity degradation, spatial resolution issues, and noise in both accelerators, as well as misalignments in the iX system. Additionally, parameters such as scaling and contrast in the TrueBeam system were found to be optimal. However, these results are based only on a time period of a few weeks, so a longer evaluation period is needed to obtain conclusive results.
Conclusion: The developed interface allows for more efficient and faster analysis, consultation, and storage of the results obtained from daily, monthly, and annual IGRT QC. However, the project aims to improve the accuracy of the codes and the interface through an expanded analysis of images and data from different systems.