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Cherenkov light emission in radiation therapy and its applications to treatment assessment
Doctoral Thesis

Cherenkov light emission in radiation therapy and its applications to treatment assessment

Jigar Dubal
University of Surrey
Doctor of Philosophy (PhD), University of Surrey
27/02/2026
DOI:
https://doi.org/10.15126/thesis.901998

Abstract

Cherenkov light emission Molecular radiation therapy External beam radiation therapy Spatial and spectral characteristics Dosimetry
The effectiveness of radiation therapy depends on treatment assessment and adaptation. Cherenkov light emitted during treatment delivery has emerged as a promising tool for monitoring molecular and external beam radiation therapy treatment delivery. This thesis investigates the characteristics of Cherenkov light emitted during radiation therapy and its potential for treatment assessment. In molecular radiation therapy (MRT), limited control over the uptake and elimination of the radioisotope can result in significant inter-patient variability in the dose absorbed by the tissue, and there is a need for accurate patient-specific dosimetry. This thesis employs Monte Carlo simulations based on patient CT data to investigate the spatial and spectral characteristics of Cherenkov light emitted in tissue and emerging at the patient surface during MRT of the thyroid. A novel approach to dosimetry is introduced based on the relationship between the Cherenkov light intensity at the surface and the dose deposited in tissue. The potential for such a Cherenkov light-based dosimetry technique is evaluated across multiple patient anatomies and for varying tissue optical parameters and radioisotope uptake by the tumour. To account for the patient-specific light transport in the body, a patient-specific correction factor is introduced. This substantially reduces the inter-patient variability in the linear relationship between the dose absorbed by the treated tissue and the surface light, enabling the definition of a calibration curve for MRT dosimetry based on surface light measurements. The potential for Cherenkov light-based dosimetry in MRT is thus demonstrated, and guidance for translating this approach to clinical practice is provided. In external beam radiation therapy (EBRT), radiation delivery is well controlled. However, the response to treatment depends on the tumour physiology, and functionalimage guidance plays an important role in treatment assessment and adaptation. This thesis addresses functional imaging using Cherenkov light emitted in the tissue during radiation delivery. Specifically, the characteristics of Cherenkov light emitted during EBRT of the larynx are explored, and its potential for probing the tumour is evaluated. Monte Carlo simulations of treatment delivery for intensity-modulated radiation therapy and volumetric-modulated arc therapy have been performed using clinical radiotherapy and CT data to model dose deposition, Cherenkov light emission and transport, and light emerging at the patient surface. It is found that near-infrared light emerging at the patient surface originates sufficiently deep within tissue and could potentially be used to probe the tumour. It is also found that surface light measurements restricted to smaller areas containing the region where the light emitted in the tumour emerges (which can be determined through simulations performed prior to treatment) could enable probing the tumour while being easier to integrate with the radiotherapy system. By characterising the spatial distribution of Cherenkov light emission and identifying detection settings, information for developing image reconstruction algorithms for Cherenkov light-based tomography is provided. By quantifying the surface light, this study indicates the level of detection sensitivity required, thus providing insight for further detector development.
pdf
6255260_Dubal121.75 MB
CC BY-NC-SA V4.0 Embargoed Access, Embargo ends: 01/03/2026
docx
Thesis-embargo-form-2025_JD_LF482.71 kB
CC BY-NC-SA V4.0 Restricted. Access maybe granted on request.
url
https://doi.org/10.6084/m9.figshare.31288660View
Simulation Dataset
url
https://doi.org/10.6084/m9.figshare.31288669View
GAMOS scripts utilised to perform Monte Carlo simulations in this work.
url
https://doi.org/10.6084/m9.figshare.31288672View
Scripts used to perform the data analysis and presentation in this work.

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