Determination and verification of the x-ray spectrum of a CT scanner

Ahmad Ibrahim Hassan; Martin Skalej; Helmut Schlattl; Christoph Hoeschen

doi:10.1117/1.JMI.5.1.013506

7 February 2018 Determination and verification of the x-ray spectrum of a CT scanner

Ahmad Ibrahim Hassan, Martin Skalej, Helmut Schlattl, Christoph Hoeschen

Author Affiliations +

Journal of Medical Imaging, Vol. 5, Issue 1, 013506 (February 2018). https://doi.org/10.1117/1.JMI.5.1.013506

Abstract

The accuracy of Monte Carlo (MC) simulations in estimating the computed tomography radiation dose is highly dependent on the proprietary x-ray source information. To address this, this study develops a method to precisely estimate the x-ray spectrum and bowtie (BT) filter thickness of the x-ray source based on physical measurements and calculations. The static x-ray source of the CT localizer radiograph was assessed to measure the total filtration at the isocenter for the x-ray spectrum characterization and the BT profile (air-kerma values as a function of fan angle). With these values, the utilized BT filter in the localizer radiograph was assessed by integrating the measured air kerma in a full 360-deg cycle. The consistency observed between the integrated BT filter profiles and the directly measured profiles pointed to the similarity in the utilized BT filter in terms of thickness and material between the static and rotating x-ray geometries. Subsequently, the measured air kerma was used to calculate the BT filter thickness and was verified using MC simulations by comparing the calculated and measured air-kerma values, where a very good agreement was observed. This would allow a more accurate computed tomography simulation and facilitate the estimation of the dose delivered to the patients.

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Ahmad Ibrahim Hassan, Martin Skalej, Helmut Schlattl, and Christoph Hoeschen "Determination and verification of the x-ray spectrum of a CT scanner," Journal of Medical Imaging 5(1), 013506 (7 February 2018). https://doi.org/10.1117/1.JMI.5.1.013506

Received: 24 March 2017; Accepted: 10 January 2018; Published: 7 February 2018

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