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A Monte Carlo-based model for simulation of digital chest tomosynthesis
Linköping University, Center for Medical Image Science and Visualization, CMIV. Linköping University, Department of Medicine and Health Sciences, Radiation Physics. Linköping University, Faculty of Health Sciences.
Royal Surrey County Hospital, Guildford.
Linköping University, Center for Medical Image Science and Visualization, CMIV. Linköping University, Department of Medicine and Health Sciences, Radiation Physics. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Centre of Surgery and Oncology, Department of Radiation Physics.ORCID iD: 0000-0003-3352-8330
Linköping University, Center for Medical Image Science and Visualization, CMIV. Linköping University, Department of Medicine and Health Sciences, Radiation Physics. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Centre of Surgery and Oncology, Department of Radiation Physics.ORCID iD: 0000-0003-0209-498X
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2010 (English)In: Radiation Protection Dosimetry, ISSN 0144-8420, E-ISSN 1742-3406, Vol. 139, no 1-3, 159-163 p.Article in journal (Refereed) Published
Abstract [en]

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°. 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.

Place, publisher, year, edition, pages
Oxford: Oxford University Press , 2010. Vol. 139, no 1-3, 159-163 p.
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:liu:diva-56402DOI: 10.1093/rpd/ncq079ISI: 000277738200027PubMedID: 20203125OAI: oai:DiVA.org:liu-56402DiVA: diva2:318790
Note
This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Radiation Protection Dosimetry following peer review. The definitive publisher-authenticated version: Gustaf Ullman, David R. Dance, Michael Sandborg, Gudrun Alm Carlsson, Angelica Svalkvist and Magnus Båth, A MONTE CARLO-BASED MODEL FOR SIMULATION OF DIGITAL CHEST TOMOSYNTHESIS, 2010, Radiation Protection Dosimetry, (139), 1-3, 159-163. is available online at: http://dx.doi.org/10.1093/rpd/ncq079 Copyright: Oxford University Press http://www.oxfordjournals.org/ Available from: 2010-05-10 Created: 2010-05-10 Last updated: 2017-12-12

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Ullman, GustafSandborg, MichaelAlm Carlsson, Gudrun

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