title: A Monte Carlo-based model for simulation of digital chest tomosynthesis.
abstract: The aim of this work was to calculate synthetic digital chest tomosynthesis projections using a computer simulation model based on the Monte Carlo method. An anthropomorphic chest phantom was scanned in a computed tomography scanner, segmented and included in the computer model to allow for simulation of realistic high-resolution X-ray images. The input parameters to the model were adapted to correspond to the VolumeRAD chest tomosynthesis system from GE Healthcare. Sixty tomosynthesis projections were calculated with projection angles ranging from +15 to -15 degrees. The images from primary photons were calculated using an analytical model of the anti-scatter grid and a pre-calculated detector response function. The contributions from scattered photons were calculated using an in-house Monte Carlo-based model employing a number of variance reduction techniques such as the collision density estimator. Tomographic section images were reconstructed by transferring the simulated projections into the VolumeRAD system. The reconstruction was performed for three types of images using: (i) noise-free primary projections, (ii) primary projections including contributions from scattered photons and (iii) projections as in (ii) with added correlated noise. The simulated section images were compared with corresponding section images from projections taken with the real, anthropomorphic phantom from which the digital voxel phantom was originally created. The present article describes a work in progress aiming towards developing a model intended for optimisation of chest tomosynthesis, allowing for simulation of both existing and future chest tomosynthesis systems.
authors.affiliation: Radiation Physics, Division of Radiological Sciences, Department of Medicine and Health Sciences, Faculty of Health Sciences and Center for Medical Image Science and Visualization, Linköping University, SE-58185 Linköping, Sweden. gustaf.ullman@liu.se
authors.forename: Gustaf
authors.initials: G
authors.lastname: Ullman
authors.forename: David R
authors.initials: DR
authors.lastname: Dance
authors.forename: Michael
authors.initials: M
authors.lastname: Sandborg
authors.forename: Gudrun Alm
authors.initials: GA
authors.lastname: Carlsson
authors.forename: Angelica
authors.initials: A
authors.lastname: Svalkvist
authors.forename: Magnus
authors.initials: M
authors.lastname: Båth
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D009010:Monte Carlo Method; D019047:Phantoms, Imaging; D011856:Radiographic Image Enhancement / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D013902:Radiography, Thoracic / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity