Paper
6 March 2006 Scatter correction for kilovoltage cone-beam computed tomography (CBCT) images using Monte Carlo simulations
Author Affiliations +
Abstract
In this work Monte Carlo (MC) simulations are used to correct kilovoltage (kV) cone-beam computed tomographic (CBCT) projections for scatter radiation. All images were acquired using a kV CBCT bench-top system composed of an x-ray tube, a rotation stage and a flat-panel imager. The EGSnrc MC code was used to model the system. BEAMnrc was used to model the x-ray tube while a modified version of the DOSXYZnrc program was used to transport the particles through various phantoms and score phase space files with identified scattered and primary particles. An analytical program was used to read the phase space files and produce image files. The scatter correction was implemented by subtracting Monte Carlo predicted scatter distribution from measured projection images; these projection images were then reconstructed. Corrected reconstructions showed an important improvement in image quality. Several approaches to reduce the simulation time were tested. To reduce the number of simulated scatter projections, the effect of varying the projection angle on the scatter distribution was evaluated for different geometries. It was found that the scatter distribution does not vary significantly over a 30-degree interval for the geometries tested. It was also established that increasing the size of the voxels in the voxelized phantom does not affect the scatter distribution but reduces the simulation time. Different techniques to smooth the scatter distribution were also investigated.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
G. Jarry, S. A. Graham, D. A. Jaffray, D. J. Moseley, and F. Verhaegen "Scatter correction for kilovoltage cone-beam computed tomography (CBCT) images using Monte Carlo simulations", Proc. SPIE 6142, Medical Imaging 2006: Physics of Medical Imaging, 614254 (6 March 2006); https://doi.org/10.1117/12.653803
Lens.org Logo
CITATIONS
Cited by 13 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Monte Carlo methods

Particles

Sensors

Computer simulations

Signal to noise ratio

Solids

Signal detection

RELATED CONTENT


Back to Top