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Updated: May 22, 2025

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
Published on: September 4, 2017
Hybrid Monte Carlo model for efficient tissue Cherenkov emission estimation to assess changes from beam size, energy
Aubrey E Parks1, Anders K Hansen2, Brian W Pogue1
1Department of Medical Physics, University of Wisconsin-Madison, Madison WI USA.
Purpose:
Cherenkov imaging in radiation therapy provides key knowledge of the delivery of treatment plans, but light-tissue interactions alter the emitted spectral signal and cause the modeling of emission relative to dose in highly modulated treatment plans to be complex.
Methods:
A 2-stage Monte Carlo approach to modeling Cherenkov emission was developed that leverages a traditional treatment planning system with an optical Monte Carlo simulation to provide a widely useable and efficient tool for modeling every beam control point for delivery interpretation of highly-modulated treatment plans. The emitted optical spectra were estimated for 6, 10, 15MV photon beams, 6 MeV electron beams, beam incidence in tissue, and square field sizes from 1 cm to 20 cm. The model was validated through comparison of measured Cherenkov emission from a blood and intralipid optical phantom.
Results:
The resulting hybrid model provides an efficient method of estimating Cherenkov emission for linac beams, showing a clear trend of decreasing emission intensity with increasing beam energy and strong emission intensity variation with beam type. The largest change in observed intensity was from altering field size, with a 76 % intensity decrease when going from 20 cm down to 1 cm square. The model showed agreement with experimental detected Cherenkov with an average percent difference of 6.2 % with the largest difference at the very smallest beam sizes.
Conclusion:
The model potentially allows for modeling entire modulated treatment plans with high computational efficiency and is a key step to translate delivered dose and observed Cherenkov in highly modulated situations.
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