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An independent system for real-time dynamic multileaf collimation trajectory verification using EPID.

Todsaporn Fuangrod1, Henry C Woodruff, Pejman Rowshanfarzad

  • 1Faculty of Engineering and Built Environment, School of Electrical Engineering and Computer Science, the University of Newcastle, NSW 2308, Australia.

Physics in Medicine and Biology
|December 17, 2013
PubMed
Summary

A new tool verifies dynamic multileaf collimator (MLC) trajectory using electronic portal imaging device (EPID) data. This system detects MLC position errors in IMRT and VMAT radiotherapy with high accuracy and speed.

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Image Analysis

Background:

  • Advanced radiotherapy techniques like IMRT and VMAT rely on precise multileaf collimator (MLC) function.
  • Verifying MLC trajectory during treatment delivery is crucial for ensuring accurate dose delivery and patient safety.
  • Current verification methods may be time-consuming or require specialized equipment beyond standard imaging devices.

Purpose of the Study:

  • To develop and validate a novel tool for verifying dynamic MLC trajectories.
  • To utilize only electronic portal imaging device (EPID) measured image frames for MLC position verification.
  • To assess the system's accuracy and speed in detecting MLC leaf position errors.

Main Methods:

  • A pre-processing step resamples prescribed leaf positions to enhance verification precision.
  • Measured MLC positions are extracted from EPID frames using template matching.
  • Cosine similarity and three additional functions are employed for robust synchronization and comparison of measured and planned leaf positions.
  • Simulations were conducted using anthropomorphic phantoms for intensity modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT) deliveries.

Main Results:

  • The developed tool achieved an overall accuracy of approximately 0.5 mm for MLC positions extracted from EPID frames.
  • The system demonstrated the capability to detect MLC leaf trajectory errors within a tolerance of 3.5 mm.
  • Error detection was achieved rapidly, within 1 second, for both IMRT and VMAT treatment deliveries.

Conclusions:

  • The novel tool effectively verifies dynamic MLC trajectories using readily available EPID data.
  • This EPID-based system offers a precise and rapid method for quality assurance in advanced radiotherapy.
  • The tool has the potential to enhance patient safety by ensuring accurate MLC positioning during IMRT and VMAT treatments.