Opening book details…
Can I read Investigating Different Particle Size Distributions On Light Emission Performance Of Indirect X-ray Detectors on EtoBox?
Investigating Different Particle Size Distributions On Light Emission Performance Of Indirect X-ray Detectors by P. Liaparinos; C. Michail; I. Valais; A. Karabotsos; G. Fountos; I. Kandarakis is a Medicine article available to read on EtoBox.
What is Investigating Different Particle Size Distributions On Light Emission Performance Of Indirect X-ray Detectors about?
S31 ionizing radiation, the dose burden to tissues irradiated should be considered. The aim of this study is to estimate the dose to specific organs and the effective dose to the patient following CBCT acquisition on a Varian Silhouette OBI imaging system. Materials and Methods: The PCXMC 2.0 Rotation Monte-Carlo (MC) software was employed to simulate symmetric and asymmetric x-ray fields resulting from full-fan and half-fan bowtie filtering, respectively. CBCT acquisitions were simulated with the number of 2D views ranging from 8 to 180; for each view/angle 5 subfields were generated to reproduce the bow-tie filtering of the x-ray beam. In order to simulate the bow-tie filter profile, three experimental methods were employed using a) film XR_QA2, b) a linear series of TLD-100, and c) a Piranha electrometer. The bow-tie filter profile, based on electrometer measurements, was generated by altering the meter's position along the mediolateral axis using a step of 0.5cm. The dose input to the MC software was based on DapMeter measurements. Both symmetric and asymmetric profiles, corresponding to full-fan and half-fan acquisitions, were generated. The effect of different acquisition par
Who reads Investigating Different Particle Size Distributions On Light Emission Performance Of Indirect X-ray Detectors?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- P. Liaparinos; C. Michail; I. Valais; A. Karabotsos; G. Fountos; I. Kandarakis
- Publisher
- Elsevier BV
- Published
- 2022
- Language
- EN
- Field
- Medicine (Health Sciences)
More by P. Liaparinos; C. Michail; I. Valais; A. Karabotsos; G. Fountos; I. Kandarakis
Browse all works by P. Liaparinos; C. Michail; I. Valais; A. Karabotsos; G. Fountos; I. Kandarakis