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Development and evaluation of a prototype tracking system using the treatment couch.

Stephanie Lang1, Jörg Zeimetz2, Gregor Ochsner3

  • 1Department of Radiation Oncology, University Hospital Zurich, 8091 Zurich, Switzerland.

Medical Physics
|February 11, 2014
PubMed
Summary

Respiratory tumor motion can be reduced using a 1D treatment couch tracking system. A laser-based system with a lag time of 57 ms reduced residual motion by a factor of 11.9, improving treatment accuracy.

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Biomedical Engineering

Background:

  • Tumor motion during radiation therapy necessitates larger safety margins, increasing dose to healthy tissues.
  • Respiratory-induced tumor motion is a significant challenge in delivering precise radiation treatments.

Purpose of the Study:

  • To develop and evaluate a one-dimensional treatment couch tracking system to mitigate respiratory tumor motion.
  • To assess the impact of different motion detection sensors and their associated lag times on tracking accuracy.

Main Methods:

  • A treatment couch tracking system was developed using the Protura treatment couch and integrated with three motion detection sensors: Topos, RPM, and a laser triangulation system.
  • Real-time performance was achieved using Simulink and a real-time engine, with a proportional-integral control system implemented.
  • Lag times of the system with different sensors were measured, and geometrical accuracy was evaluated by comparing motion-induced deviations with and without tracking.

Main Results:

  • The laser-based tracking system (57 ms lag time) reduced residual motion by a factor of 11.9 ± 5.5.
  • The RPM-based system (130 ms lag time) achieved a reduction factor of 4.7 ± 2.6, while the Topos system (300 ms lag time) reduced motion by a factor of 3.4 ± 2.3.
  • Treatment couch tracking eliminated the increase in penumbra observed during motion without tracking.

Conclusions:

  • Treatment couch tracking using the Protura system is feasible for managing respiratory tumor motion.
  • A lag time below 100 ms is crucial for reliably tracking respiration patterns without prediction filters.
  • Further research is needed to adapt this prototype for tracking internal tumor motion.