Mass-manufacturable scintillation-based optical fiber dosimeters for brachytherapy
Scintillation-based fiber dosimeters are a powerful tool for minimally invasive localized real-time monitoring of the dose rate during Low Dose Rate (LDR) and High Dose Rate (HDR) brachytherapy (BT). This paper presents the design, fabrication, and characterization of such dosimeters, consisting of scintillating sensor tips attached to polymer optical fiber (POF). The sensor tips consist of inorganic scintillators, i.e. Gd2O2S:Tb for LDR-BT, and Y2O3:Eu+4YVO4:Eu for HDR-BT, dispersed in a polymer host. The shape and size of the tips are optimized using non-sequential ray tracing simulations towards maximizing the collection and coupling of the scintillation signal into the POF. They are then manufactured by means of a custom moulding process implemented on a commercial hot embossing machine, paving the way towards series production. Dosimetry experiments in water phantoms show that both the HDR-BT and LDR-BT sensors feature good consistency in the magnitude of the average photon count rate and that the photon count rate signal is not significantly affected by variations in sensor tip composition and geometry. Whilst individual calibration remains necessary, the proposed dosimeters show great potential for in-vivo dosimetry for brachytherapy.
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Publication
Biosensors and Bioelectronics, 2024, 255, 116237Publisher
ElsevierOther Funding information
The ORIGIN project is an initiative of the Photonics Public Private Partnership (www.photonics21.org) and has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 871324. Interreg North-West Europe (NWE758), Interreg Vlaanderen-Nederland (Fotonica pilootlijnen), Industrial Research Fund (IOF) and OZR of Vrije Universiteit Brussel, Methusalem Foundation, the FWO Research Infrastructure program are acknowledged as well.Rights
This is the author’s version of a work that was accepted for publication in Biosensors and Bioelectronics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Biosensors and Bioelectronics,Volume 255, 2024, 116237, https://doi.org/10.1016/j.bios.2024.116237External identifier
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- Electronic & Computer Engineering