Comparison of the X-ray tube spectrum measurement using BGO, NaI, LYSO, and HPGe detectors in a preclinical mini-CT scanner: Monte Carlo simulation and practical experiment
Abstract
The aim of this study is to estimate the intrinsic efficiency and energy resolution of different types of solid-state gamma-ray detectors in order to generate a precise dual-energy x-ray beam from the conventional x-ray tube using external x-ray filters. The x-ray spectrum of a clinical x-ray tube was experimentally measured using a high purity Germanium detector (HPGe) and the obtained spectrum validated by Monte Carlo (MC) simulations. The obtained x-ray spectrum from the experiment was employed to assess the energy resolution and detection efficiency of different inorganic scintillators and semiconductor-based solid-state detectors, namely HPGe, BGO, NaI, and LYSO, using MC simulations. The best performing detector was employed to experimentally create and measure a dual-energy x-ray spectrum through applying attenuating filters to the original x-ray beam. The simulation results indicated a 9.16% energy resolution for the HPGe detector wherein the FWHM of the energy resolution for the HPGe detector was about 1/3rd of the other inorganic detectors. The x-ray spectra estimated from the various source energies exhibited a good agreement between experimental and simulation results with a maximum difference of 6%. Owing to the high-energy discrimination power of the HPGe detector, a dual-energy x-ray spectrum was created and measured from the original x-ray spectrum using 0.5 and 4.5 mm Aluminum external filters, which involves 70 and 140 keV energy peaks with 8% overlap. The experimental measurements and MC simulations of the HPGe detector exhibited close agreement in high-energy resolution estimation of the x-ray spectrum. Given the accurate measurement of the x-ray spectrum with the HPGe detector, a dual-energy x-ray spectrum was generated with minimal energy overlap using external x-ray filters.
- Publication:
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Radiation Physics and Chemistry
- Pub Date:
- December 2021
- DOI:
- arXiv:
- arXiv:2102.05760
- Bibcode:
- 2021RaPC..18909666L
- Keywords:
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- Computed tomography;
- Monte Carlo simulation;
- Energy resolution;
- Solid-state detectors;
- Physics - Instrumentation and Detectors;
- Physics - Medical Physics
- E-Print:
- doi:10.1016/j.radphyschem.2021.109666