Paper
19 March 2013 Spatial resolution characteristics of a-Se imaging detectors using Monte Carlo methods with detailed spatiotemporal transport of x-rays, electrons, and electron-hole pairs under applied bias
Author Affiliations +
Proceedings Volume 8668, Medical Imaging 2013: Physics of Medical Imaging; 86683R (2013) https://doi.org/10.1117/12.2007436
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Detectability of microcalcifications and small lesions in mammography has driven the development of high spatial resolution imagers with small pixel pitch. In this work, we study the detector resolution limits of amorphous selenium (a- Se) with a detailed Monte Carlo transport code for simulation of direct x-ray detectors. The model takes into account generation and re-absorption of characteristic x rays, spreading due to Compton scattering and high-energy secondary electron transport, and drift and diffusion of electron-hole pairs under the applied external electric field. The transport of electron-hole pairs is achieved with a spatiotemporal model that accounts for recombination and trapping of carriers and Coulombic effects of 3D spatial charge distribution. The location information for each detected electron and hole over millions of simulation histories are used to build the detector point response. A range of incident x-ray energies are simulated from 10 to 100 keV. The simulated detector point response can be used to study the spatial resolution characteristics of detectors at different energies ranges and for calculation of the modulation transfer function and image quality metrics.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuan Fang, Andreu Badal, Aldo Badano, and Karim S. Karim "Spatial resolution characteristics of a-Se imaging detectors using Monte Carlo methods with detailed spatiotemporal transport of x-rays, electrons, and electron-hole pairs under applied bias", Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86683R (19 March 2013); https://doi.org/10.1117/12.2007436
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Monte Carlo methods

X-rays

X-ray detectors

Modulation transfer functions

Photons

Electrons

Back to Top