An open-source motion platform that replicates time synchronised internal and external patient motion for real-time image-guided radiotherapy
- PMID: 41701311
- DOI: 10.1007/s13246-026-01710-w
An open-source motion platform that replicates time synchronised internal and external patient motion for real-time image-guided radiotherapy
Abstract
Real-time Image-guided Radiotherapy (IGRT) technologies aim to track intra-fractional tumour motion during delivery of high radiation doses to tumours. For the development and safe implementation of real-time IGRT technologies into the clinic, there is a need for robust and repeatable quality assurance (QA) devices. Motivated by this need, this work presents the development and characterisation of a novel time-synchronised motion platform designed for QA purposes of real-time IGRT technologies that perform combined internal and external patient motion monitoring. The Internal-External Robotic Actuator (IntERAct) QA device was developed to integrate a 6-degree-of-freedom (6DoF) robotic arm with a 1-degree-of-freedom (1DoF) motion actuator, which replicate 6DoF internal tumour and 1DoF external surface movements, respectively. The IntERAct device was validated by performing tests which replicated patient-measured lung and liver motion traces on the 6DoF and 1DoF platforms. The device synchronised the internal and external motions to within 0.1 s with under two-millimetre geometric accuracy. The full details of the IntERAct device have been compiled into an open-source repository on GitHub for the medical physics community to use: https://github.com/Image-X-Institute/IntERAct .
Keywords: 6 Degree-of-freedom quality assurance; Intrafraction motion; Motion platform; Real-time image guided radiotherapy; Robotic motion phantom.
© 2026. The Author(s).
Conflict of interest statement
Declarations. Competing interests: The authors have no relevant financial or non-financial interests to disclose related to this manuscript. Ethics approval: The authors confirm that this study did not require formal ethics approval as per the relevant institutional body.
References
-
- Keall PJ et al (2006) The management of respiratory motion in radiation oncology report of AAPM Task Group 76a. Med Phys 33(10), 3874–3900. https://doi.org/10.1118/1.2349696
-
- Bertholet J et al (2019) Real-time intrafraction motion monitoring in external beam radiotherapy. Phys Med Biol 64(15):15TR01. https://doi.org/10.1088/1361-6560/ab2ba8
-
- Seppenwoolde Y, Berbeco RI, Nishioka S, Shirato H, Heijmen B (2007) Accuracy of tumor motion compensation algorithm from a robotic respiratory tracking system: a simulation study. Med Phys 34(7):2774–2784. https://doi.org/10.1118/1.2739811
-
- Ferris WS, Kissick MW, Bayouth JE, Culberson WS, Smilowitz JB (2020) Evaluation of radixact motion synchrony for 3D respiratory motion: Modeling accuracy and dosimetric fidelity. J Appl Clin Med Phys 21(9):96–106. https://doi.org/10.1002/acm2.12978
-
- Jin J-Y, Yin F-F, Tenn SE, Medin PM, Solberg TD (2008) Use of the brainlab exactrac X-ray 6D system in image-guided radiotherapy. Med Dosim 33(2):124–134. https://doi.org/10.1016/j.meddos.2008.02.005 - DOI - PubMed