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Quality control of VMAT synchronization using portal imaging.
James L Bedford1, Honorata Chajecka-Szczygielska, Michael D R Thomas
1Royal Marsden NHS Foundation Trust. James.Bedford@icr.ac.uk.
Journal of Applied Clinical Medical Physics
|February 14, 2015
Summary
This study introduces a fast quality control (QC) method for volumetric-modulated arc therapy (VMAT) synchronization using portal imaging. The technique effectively detects errors in gantry, dose, and multileaf collimator (MLC) leaf positioning during VMAT delivery.
Area of Science:
- Medical Physics
- Radiation Oncology
- Radiotherapy Technology
Background:
- Accurate delivery in volumetric-modulated arc therapy (VMAT) relies on precise synchronization of gantry, multileaf collimator (MLC) leaf positions, and dose rate.
- Existing quality control (QC) methods for VMAT synchronization can be time-consuming and data-intensive.
Purpose of the Study:
- To implement a streamlined QC method for VMAT synchronization using portal imaging.
- To minimize the number of arcs and data handling time required for VMAT QC.
- To evaluate the sensitivity of the proposed method to common delivery errors.
Main Methods:
- A 12 mm steel bar was positioned to cast a shadow on the portal imager during a 360° VMAT arc.
- Simulated errors included gantry position (1°-9°), dose (2-20 MU), and MLC leaf position (1-6 mm).
- Inhomogeneity metrics were defined to quantify synchronization errors.
Main Results:
- Simulated delivery errors resulted in irregular patterns on portal images, contrasting with the uniformity seen in error-free deliveries.
- Inhomogeneity metrics increased significantly with simulated errors: 67% for a 4° gantry error, 33% for an 8 MU dose error, and 70% for a 2 mm MLC error.
- The method demonstrated higher sensitivity to errors at gantry angles 90°/270° compared to 0°/180°.
Conclusions:
- The portal imaging method provides a fast and effective QC for VMAT synchronization.
- This technique is suitable for regular inclusion in monthly accelerator QC programs.
- The method can identify errors in individual control point deliveries, with potential for further investigation using dynamic imaging.

