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Related Experiment Video

Updated: Dec 22, 2025

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm
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Development and Validation of a MATLAB Software Program for Decoding the Treatment Errors in Real-time Position

Naveen Kumawat1, Anil Kumar Shrotriya2, Malhotra Singh Heigrujam1

  • 1Deparment of Radiation Oncology, Max Super Speciality Hospital, New Delhi, India.

Journal of Medical Physics
|May 2, 2020
PubMed
Summary

A new MATLAB program quantifies "beam-on" errors in Real-time Position Management (RPM) breathing traces, showing errors under 1.5%. This tool aids in accurate radiation therapy delivery by analyzing intrafraction motion during treatment.

Keywords:
Beam-on errorsMATLABbreathing tracegatingtime delay

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Software Development

Background:

  • Real-time Position Management (RPM) is crucial for reducing normal tissue complications during radiation therapy.
  • Currently, no commercial software exists to quantify "beam-on" errors in RPM-generated breathing traces.
  • Accurate quantification of these errors is essential for improving treatment precision.

Purpose of the Study:

  • To develop and validate an in-house MATLAB program for quantifying "beam-on" errors in breathing traces.
  • To assess the accuracy of the developed program using phantoms and patient data.
  • To provide a tool for analyzing intrafraction motion during radiation therapy.

Main Methods:

  • A graphical user interface (GUI) was developed using MATLAB software.
  • The GUI was validated with two phantoms (Varian-gated and Brainlab ET gating) and regular motion profiles.
  • Irregular breathing profiles from ten patients were analyzed using the GUI.

Main Results:

  • Beam-on errors (time and displacement) were consistently below 1.5% for phase- and amplitude-based treatments.
  • The average treatment time delay was measured at 47 ± 0.003 ms.
  • Amplitude-based gating demonstrated higher accuracy than phase-based gating for irregular breathing patterns.

Conclusions:

  • The developed MATLAB GUI provides accurate and acceptable results for quantifying "beam-on" errors.
  • The program effectively analyzes intrafraction errors in breathing traces for both phase- and amplitude-based gating techniques.
  • The software can convert phase-based gating parameters to amplitude-based parameters, enhancing treatment planning.