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Dictionary-based protoacoustic dose map imaging for proton range verification.

Clara Freijo1, Joaquin L Herraiz1,2, Daniel Sanchez-Parcerisa1,2,3

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Summary
This summary is machine-generated.

This study introduces a dictionary-based protoacoustic method for in vivo proton range verification in radiotherapy. The technique accurately detects range variations, enhancing treatment safety and precision.

Keywords:
ProtoacousticsProton range verificationProton therapyThermoacousticsUltrasounds

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Acoustic Imaging

Background:

  • Proton radiotherapy offers superior dose conformity but faces challenges due to uncertainties in proton range.
  • Accurate in vivo verification of proton range is crucial for maximizing the clinical benefits of proton therapy.
  • The radio-induced thermoacoustic effect generates acoustic waves, enabling protoacoustic range verification.

Purpose of the Study:

  • To develop and evaluate a dictionary-based protoacoustic method for in vivo proton range verification.
  • To utilize a priori dose distribution knowledge to create a dictionary of expected ultrasonic signals.
  • To reconstruct the deposited dose by matching pre-calculated signals with online acquired data.

Main Methods:

  • A dictionary of expected ultrasonic signals was created based on known proton dose distributions.
  • Proton dose calculations were performed using the matRad treatment planning system.
  • Acoustic wave propagation was simulated using k-Wave for signal analysis.
  • The method's ability to detect range variations due to anatomical and beam position changes was assessed.

Main Results:

  • The dictionary-based protoacoustic method successfully identified range variations caused by changes in tissue density and beam position.
  • The average accuracy for detecting range shifts was 1.4 mm.
  • The method demonstrated potential for real-time in vivo verification during proton therapy.

Conclusions:

  • The proposed dictionary-based protoacoustic method offers a promising approach for in vivo proton range verification.
  • This technique can help reduce uncertainty margins in proton therapy, improving treatment accuracy.
  • Comparing measured acoustic signals with pre-calculated dictionary signals enables effective online monitoring.