Purpose: The Monte Carlo (MC) simulation is widely used to design and test complex
physical phenomena. This paper presents a simulator of x‐ray detector for imaging …

The X-ray radiographic simulation software SINDBAD, has been developed to help the
design stage of radiographic systems or to evaluate the efficiency of image processing …

We have developed a full-scale image quality (IQ) simulation model as a tool for X-ray
system design, image quality optimization and patient dose reduction. The IQ model …

With the advent of powerful computers and parallel processing including Grid technology,
the use of Monte Carlo (MC) techniques for radiation transport simulation has become the …

Purpose: It is important to understand signal and noise transfer in the indirect, flat‐panel x‐
ray detector when developing and optimizing imaging systems. For optimization where …

A computer code was developed to simulate the operation of radiographic, radioscopic or
tomographic devices. The simulation is based on ray-tracing techniques and on the X-ray …

To judge the potential benefit of a new x-ray detector technology and to be able to compare
different technologies, some standard performance measurements must be defined. In …

The computational modeling of medical imaging systems often requires obtaining a large
number of simulated images with low statistical uncertainty which translates into prohibitive …

We present a method for simulating slot-scanning X-ray imaging using the general-purpose
Monte Carlo simulation package PENELOPE and penEasy Imaging. Different phantoms can …

In the field of X-ray imaging flat-panel detectors which convert X-rays into electrical signals,
are widely used. For different applications, detectors differ in several specific parameters that …