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SU-E-T-94: Multileaf Collimator Performance and Validation of Quality Control Tolerances.

D Letourneau1, K Wang1, B Norrlinger1

  • 1Princess Margaret Hospital, Toronto, ON.

Medical Physics
|May 19, 2017
PubMed
Summary

The automated quality assurance system (AQUA) accurately assesses multileaf collimator (MLC) geometric accuracy and reproducibility. Results show MLC leaf positioning is within American Association of Physicists in Medicine (AAPM) tolerances, indicating reliable quality control.

Keywords:
CalibrationComputer softwareError analysisExposure assessmentMedical imagingMillimeter wavesMultileaf collimatorsPhysicistsQuality assuranceStatistical analysis

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Quality Assurance

Background:

  • Quality control (QC) for medical linear accelerators is crucial for patient safety and treatment efficacy.
  • Multileaf collimators (MLCs) are critical components that shape radiation beams, requiring precise geometric accuracy.
  • Existing QC methods can be time-consuming and may not fully capture long-term performance.

Purpose of the Study:

  • To evaluate the automated quality assurance (AQUA) software for automating MLC quality control tests.
  • To assess the geometric accuracy and long-term reproducibility of a commercial MLC using AQUA.
  • To determine the applicability of American Association of Physicists in Medicine (AAPM) tolerances for MLC QC with AQUA.

Main Methods:

  • MLC calibration using AQUA by minimizing leaf-positioning errors on megavoltage images across various leaf-bank positions.
  • Repeated AQUA tests (5 times/week) to assess leaf-positioning accuracy and reproducibility over time.
  • Statistical analysis of leaf-positioning errors, separating them into systematic and random components.

Main Results:

  • 98% of leaf positions (n=7200) were within ±0.5 mm of the nominal position after AQUA calibration.
  • Systematic error was the primary component (±0.15 to ±0.2 mm), attributed to post-calibration residual errors.
  • Random error was ±0.07 mm, demonstrating high leaf-positioning reproducibility and low AQUA measurement uncertainty.

Conclusions:

  • AQUA effectively calibrates MLCs, with leaf-positioning errors well within AAPM's ±1 mm tolerance.
  • MLC performance exhibits high reproducibility, suggesting potential for further improvement by reducing residual errors.
  • AQUA provides a reliable tool for automated, accurate, and reproducible MLC quality control.