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Algorithm development for intrafraction radiotherapy beam edge verification from Cherenkov imaging.

Clare Snyder1, Brian W Pogue1,2,3, Michael Jermyn1,2

  • 1Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States.

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|January 12, 2018
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Summary
This summary is machine-generated.

Cherenkov imaging offers real-time radiotherapy visualization. Image processing algorithms enhance Cherenkov imaging for accurate beam edge recovery, enabling quality audits for radiotherapy delivery verification.

Keywords:
dosimetryimage processinglinacquality auditradiation therapy

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Area of Science:

  • Medical Physics
  • Radiotherapy Technology
  • Image Processing

Background:

  • Cherenkov light emission imaging during radiotherapy can visualize beam delivery in real time.
  • Advancing this for delivery verification requires robust image processing to accurately recover beam edges.

Purpose of the Study:

  • To develop and analyze image processing steps for Cherenkov imaging in radiotherapy.
  • To maximize accurate recovery of beam edges for delivery verification.

Main Methods:

  • Analysis focused on noise characteristics and images from phantoms and patients undergoing whole breast radiotherapy.
  • Processing involved temporal integration, median filtering, thresholding, and morphologic hole removal.
  • Processed images were compared using Dice coefficient or mean distance to conformity.

Main Results:

  • The developed processing algorithm effectively recovers beam edges from Cherenkov images.
  • Phantom studies showed systematic position shifts up to 5 mm were comparable to patient data variations.
  • Quantified day-to-day disparities in delivery using Cherenkov imaging.

Conclusions:

  • The processing algorithm enables accurate analysis of variations in daily Cherenkov imaging.
  • This can serve as a quality audit system for position and beam verification in radiotherapy.
  • Enhances the utility of Cherenkov imaging for radiotherapy delivery verification.