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A robotically assisted 3D printed quality assurance lung phantom for Calypso
Dante P I Capaldi1, Lawrie B Skinner1, Piotr Dubrowski1
1Department of Radiation Oncology, School of Medicine, Stanford University, Stanford, California, United States of America.
Physics in Medicine and Biology
|March 3, 2021
Summary
A new robotic phantom was developed to accurately test the Calypso system for lung cancer radiation therapy. This quality assurance tool improves accuracy for real-time tumor tracking during treatment.
Area of Science:
- Medical Physics
- Radiation Oncology
- Medical Imaging
Background:
- Respiratory motion significantly impacts radiation dose delivery to thoracic and upper-abdominal tumors.
- Current quality assurance (QA) phantoms for internal surrogate motion tracking systems like Calypso are limited for lung applications.
- This limitation necessitates the development of specialized QA solutions to meet AAPM TG142 testing requirements.
Purpose of the Study:
- To design and develop a novel 3D-printed motion phantom for evaluating the Calypso system in lung cancer radiotherapy.
- The phantom aims to simulate true lung motion by allowing Calypso beacons to move in multiple directions.
- This addresses the need for specialized QA tools for lung-based Calypso applications.
Main Methods:
- A 3D-printed phantom with three independent arms for Calypso transponders was designed and constructed.
- A 4-axis robotic arm simulated respiratory motion, guided by a four-dimensional CT (4DCT) scan.
- Treatment plans were delivered to assess dosimetric accuracy and temporal accuracy of the Calypso system during simulated breathing.
Main Results:
- Dosimetric accuracy was found to be within 2%, meeting TG142 tolerances.
- Temporal accuracy for beam-on was greater than the 100 ms TG142 tolerance.
- Temporal accuracy for beam-hold was less than the 100 ms TG142 tolerance.
Conclusions:
- The developed robotic QA phantom provides a dedicated solution for Calypso system testing in lung radiotherapy.
- This phantom facilitates commissioning and acceptance testing, enhancing the reliability of Calypso for lung treatments.
- It enables more accurate evaluation of motion management strategies in radiation oncology.

