Abstract

The experimental response of the dosimeter as a function of the irradiation temperature plays an important role, and this effect has consequences in the practical applications of dosimetry. In this work, L-glutamic acid (2-aminopentanedioic acid) is proposed to be a good response, easy to handle, and a cheap gamma dosimeter. For this purpose, polycrystalline samples were irradiated with gamma rays at 77, 195, and 295 K and doses in the kiloGray range (43–230 kGy). The potential use of the glutamic acid system as a chemical dosimeter is based on the formation of stable free radicals when the amino acid is exposed to ionizing radiation. The observed species in these experiments were attributed to deamination and decarboxylation reactions that were studied using electron spin resonance (ESR). The results indicate that the analysis generates a linear response as the irradiation dose increases in a reliable range for industrial and research purposes at three different temperatures.

Highlights

  • Hybrid pixel detectors are getting started to be used in medical research in the last few years [1] [2], they have important advantages to be use in the field

  • We were able to find a curve whose behavior was similar to others already published. This will lead to the verification of the usage of Timepix for identification of different tissues in an organ

  • The first part of the results are the single curves founded of each phantom tissue, Fig. 2 – Fig. 11, with the proper fit and calculation of them FWHM, the axis graphics are ToT Vs Number of events, followed by the graphic of all together being normalized to the maximum value

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Summary

Introduction

Hybrid pixel detectors are getting started to be used in medical research in the last few years [1] [2], they have important advantages to be use in the field. Timepix is a hybrid pixel detector developed by CERN collaboration for particle detections [3]. It has a good sensitivity [4] and good resolution for medical imaging, having this in mind we have decided to find a calibration curve analog to the one used for CT calibration. The idea is to find the correspondence Timepix counts to each value of tissue in Hounsfield Units already known.

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Results
Conclusion

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