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Related Experiment Video

Updated: Nov 15, 2025

Fabrication and Characterization of Optical Tissue Phantoms Containing Macrostructure
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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
PubMed
Summary

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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:

Keywords:
3D printingCalypsomotion managementquality assurancerobotics

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Related Experiment Videos

Last Updated: Nov 15, 2025

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  • 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.