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Application of a model-based water-equivalent EPID image conversion algorithm for linac beam QA.

Ivan Kutuzov1,2, Boyd McCurdy1,2,3

  • 1Department of Physics and Astronomy, University of Manitoba, Winnipeg, Manitoba, Canada.

Journal of Applied Clinical Medical Physics
|August 16, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new method using electronic portal imaging devices (EPIDs) to accurately measure linear accelerator (linac) beam parameters. The model-based algorithm converts EPID images into water-equivalent dose distributions for precise quality assurance.

Keywords:
EPIDEPID dosimetrylinac QAmachine QAwater‐equivalent EPID

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Imaging Technology

Background:

  • Electronic Portal Imaging Devices (EPIDs) are crucial for quality assurance in linear accelerator (linac) based radiotherapy.
  • Their non-water-equivalent energy response poses a significant challenge for accurate beam parameter verification.
  • Existing EPID-based quality assurance (QA) methods are often limited to non-water-equivalent constancy checks.

Purpose of the Study:

  • To develop and validate an EPID-based machine QA application for linear accelerator (linac) beam parameter verification.
  • To convert EPID-measured images into water-equivalent dose distributions using a model-based radiation transport algorithm.
  • To assess beam flatness and symmetry with improved accuracy.

Main Methods:

  • An in-house developed, model-based radiation transport algorithm was employed to estimate incident beam fluence from EPID images.
  • The algorithm converted EPID images into 3D dose distributions in a virtual water tank or 2D water-equivalent dose distributions.
  • Validation was performed using independent measurements in a scanning water tank and a reference ion chamber array under various beam conditions.

Main Results:

  • EPID-reconstructed percentage depth dose distributions (PDDs) agreed within 1% of water tank measurements beyond the initial 10 mm depth.
  • Beam profile comparisons showed differences within 1% in low dose-gradient regions.
  • Beam flatness and symmetry derived from reconstructed images agreed with reference measurements within 0.2% and 0.3%, respectively, for both symmetric and asymmetric fields.

Conclusions:

  • The proposed model-based algorithm accurately converts EPID images into water-equivalent dose distributions.
  • This facilitates precise determination of beam flatness and symmetry, overcoming limitations of previous EPID-based QA techniques.
  • The study supports the use of EPIDs as robust dosimetry tools for linac radiation beam parameter verification.