Paper
2 March 2006 Three-dimensional columnar CsI model for x-ray imaging system simulations using MANTIS: validating for noise, blur, and light output
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Abstract
In previous work, we and others have focused the validation of detector models for computational simulations of imaging system performance on matching, to a small difference, specific aspects of the detector's performance, i.e., modulation transfer function or light output. In this work, instead, we selected three parameters that, together, represent a more complete description of the imaging properties of the phosphor screen to be modeled. The three performance parameters are the information or Swank factor determined from pulse-height spectra, the light output (either in absolute or relative scale), and the point-response function. Using this general methodology, we created screen models that exhibit good agreement with recent experimental measurements available in the literature, over a wide x-ray energy range (18-75 keV), and for front- and back-screen configurations. The models are being used in conjunction with MANTIS, a Monte Carlo code for simulating imaging systems that tracks x rays, electrons, and optical photons in the same geometric model, with x-ray and electron physics models from the PENELOPE package, and optical physics models from DETECT-II. This study allows us to incorporate realistic detector models into a detailed and complete Monte Carlo simulation of the entire imaging system, including the object and its absorbed dose map, and the properties of the imaging acquisition.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Aldo Badano, Iacovos S. Kyprianou, and Josep Sempau "Three-dimensional columnar CsI model for x-ray imaging system simulations using MANTIS: validating for noise, blur, and light output", Proc. SPIE 6142, Medical Imaging 2006: Physics of Medical Imaging, 61420W (2 March 2006); https://doi.org/10.1117/12.653309
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KEYWORDS
X-rays

Sensors

Imaging systems

Monte Carlo methods

Photons

X-ray optics

Systems modeling

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