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Updated: Jun 20, 2025

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A novel EPID-based MLC QA method with log files achieving submillimeter accuracy.

Chenlu Liu1,2, Binbing Wang2, Xue Bai2

  • 1School of Nuclear Science and Technology, University of South China, Hengyang, Hunan, PR China.

Journal of Applied Clinical Medical Physics
|July 20, 2024
PubMed
Summary
This summary is machine-generated.

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This study developed a new method using electronic portal imaging device log files to calibrate multi-leaf collimator (MLC) systems. The integrated method achieves high accuracy for MLC quality assurance, ensuring precise radiation therapy delivery.

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Radiotherapy Equipment Quality Assurance

Background:

  • Accurate calibration of multi-leaf collimators (MLCs) is crucial for precise radiation delivery.
  • Existing MLC calibration methods may have limitations in accuracy and efficiency.
  • Electronic portal imaging devices (EPIDs) offer a potential tool for quality assurance.

Purpose of the Study:

  • To develop and validate an electronic portal imaging device (EPID)-based procedure for multi-leaf collimator (MLC) calibration using log files.
  • To assess the accuracy and robustness of developed algorithms for detecting MLC leaf position errors.
  • To establish a reliable method for routine MLC quality assurance.

Main Methods:

  • Performed picket fence fields with varying strip widths using an EPID.
Keywords:
EPIDMLC QAMLC calibrationfull‐width half‐maximum

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  • Developed three independent algorithms and an integration method based on profile analysis (valley value, area, FWHM, abutment width) from log files.
  • Introduced known leaf position errors to test algorithm performance and robustness across different data processing schemes (A, B, C).

    • Main Results:

    • Log file analysis revealed that 17.6% and 1.1% of leaves had position errors exceeding ±0.1 mm and ±0.2 mm, respectively.
    • The integrated method, particularly Scheme C, demonstrated high accuracy with absolute position errors as low as 0.021 ± 0.024 mm.
    • The integration method showed robustness across different picket fence field sizes (5, 8, 11 mm), with errors around 0.020 ± 0.024 mm.

    Conclusions:

    • The developed EPID-based MLC calibration procedure using log files is effective and robust.
    • The integration method significantly improves accuracy and robustness for MLC quality assurance.
    • This simple, quantitative method can detect a wide range of MLC leaf position errors with sub-millimeter accuracy, suitable for routine QA.