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Hassan, A.I.* ; Skalej, M.* ; Schlattl, H. ; Hoeschen, C.*

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

J. Med. Imaging 5:013506 (2018)
Verlagsversion Postprint DOI PMC
Open Access Green
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Bowtie Filter ; Ct Localizer Radiograph ; Monte Carlo Simulations ; Multidetector Ct ; Radiation Dose ; X-ray Spectrum
Sprache englisch
Veröffentlichungsjahr 2018
HGF-Berichtsjahr 2018
ISSN (print) / ISBN 2329-4302
e-ISSN 2329-4310
Quellenangaben Band: 5, Heft: 1, Seiten: , Artikelnummer: 013506 Supplement: ,
Verlag SPIE
Verlagsort Bellingham, Wash.
Begutachtungsstatus Peer reviewed
POF Topic(s) 30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
Forschungsfeld(er) Radiation Sciences
PSP-Element(e) G-501100-008
Scopus ID 85041683312
PubMed ID 29430476
Erfassungsdatum 2018-03-05