# Monte Carlo simulation of X-ray imaging using a graphics processing unit

@article{Badal2009MonteCS, title={Monte Carlo simulation of X-ray imaging using a graphics processing unit}, author={Andreu Badal and Aldo Badano}, journal={2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC)}, year={2009}, pages={4081-4084} }

A code for Monte Carlo simulations of radiation transport using a Graphics Processing Unit (GPU) is introduced. The code has been developed using the CUDATM programming model, an extension to the C language that allows the execution of general purpose computations on the new generation of GPUs from NVIDIA. The accurate Compton and Rayleigh interaction models and interaction mean free paths from the PENELOPE package, and a generic voxelized geometry model, have been implemented in the new code…

## 32 Citations

Fast cardiac CT simulation using a graphics processing unit-accelerated Monte Carlo code

- Computer ScienceMedical Imaging
- 2010

This study shows that low-cost GPU clusters are a good alternative to CPU clusters for Monte Carlo simulation of x-ray transport and describes a new version of this code adapted to the simulation of computed tomography (CT) scans, allowing the execution in parallel in multiple GPUs.

Study on efficiency of time computation in x-ray imaging simulation base on Monte Carlo algorithm using graphics processing unit

- Materials Science, Physics
- 2016

This study aimed to investigate the time computation of x-ray imaging simulation in GPU (Graphics Processing Unit) compared to a standard CPU (Central processing Unit) and to evaluate the effect of physical parameters to the quality of radiographic images.

A GPU tool for efficient, accurate, and realistic simulation of cone beam CT projections.

- Physics, MedicineMedical physics
- 2012

A GPU computational tool, gDRR, has been developed for the accurate and efficient simulations of x-ray projections of CBCT with realistic configurations, which are accurate and realistic, such that beam-hardening artifacts and scatter artifacts can be reproduced using the simulated projections.

Accelerate multi-dimensional CT scanner simulation with GPU

- Computer ScienceMedical Imaging
- 2011

This paper presents a solution to CT scanner simulation with CUDA architecture on GPU that gets the same image quality in double precision but gains a speed increase of more than 10 times faster than using CPU only.

Monte Carlo Transport Methods for Semiconductor X-ray Imaging Detectors

- Physics
- 2013

This thesis describes the development of a novel comprehensive Monte Carlo simulation code, ARTEMIS, for the investigation of electron-hole pair transport mechanisms in a-Se x-ray imaging detectors.…

A Scalable Framework for Monte Carlo Simulation Using FPGA-based Hardware Accelerators with Application to SPECT Imaging

- Computer Science
- 2012

It is demonstrated through the complete implementation of a Monte Carlo-based image reconstruction algorithm for Single-Photon Emission Computed Tomography (SPECT) imaging that this complex problem can be accelerated by two orders of magnitude on even a modestly-sized FPGA over a 2GHz Intel Core 2 Duo Processor.

In Silico Phase-Contrast X-Ray Imaging of Anthropomorphic Voxel-Based Phantoms

- PhysicsIEEE Transactions on Medical Imaging
- 2021

A general strategy to enable the use of virtual anthropomorphic voxel-based phantoms for wave propagation simulations and demonstrates the strategy on an anthropomorphic breast phantom to simulate propagation-based phase-contrast mammography using a laboratory micro-focus X-ray source.

NOC Based FPGA Acceleration for Monte Carlo Simulations with Applications to SPECT Imaging

- Computer Science
- 2014

This paper demonstrates through the complete implementation of a Monte Carlo-based image reconstruction algorithm for Single-Photon Emission Computed Tomography (SPECT) image that this complex problem can be accelerated by two orders of magnitude on even a modestly sized FPGA.

X-ray system simulation software tools for radiology and radiography education

- Physics, MedicineComput. Biol. Medicine
- 2018

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