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Implementation of pathologies in the Monte Carlo model in chest and breast imaging
Linköping University, Department of Medicine and Care, Radio Physics. Linköping University, Faculty of Health Sciences.
Linköping University, Department of Medicine and Care, Radio 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
Department of Physics, The Royal Marsden NHS Trust, UK.
Department of Physics, The Royal Marsden NHS Trust, UK.
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2003 (English)Report (Other academic)
Abstract [en]

The Monte Carlo simulation model of the chest and breast imaging systems including a voxelised model of the patient are used to compute measures of image quality and patient absorbed dose. It is important that the model computes measures of image quality of pathological details that are similar in size, composition and position as real pathological details in typical chest and breast images. Moreover, the other partners of the co-coordinated research project will produce hybrid images with pathological details and have these images assessed by a group of radiologist. The model will then be used to study to what extent variations in clinical image quality can be explained by variations in physical image quality, for example signal-to-noise ratio. This report summarizes the selection of pathological details to include in the model of chest and breast imaging systems.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press , 2003. , 12 p.
Series
Report / Department of Radiology, Linköping University, 1998-, 94
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:liu:diva-57856ISRN: LIU--RAD-R--094OAI: oai:DiVA.org:liu-57856DiVA: diva2:328143
Available from: 2010-07-01 Created: 2010-07-01 Last updated: 2015-03-20Bibliographically approved

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Implementation of pathologies in the Monte Carlo model in chest and breast imaging(236 kB)578 downloads
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Ullman, GustavSandborg, MichaelAlm Carlsson, Gudrun

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Ullman, GustavSandborg, MichaelAlm Carlsson, Gudrun
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Radiology, Nuclear Medicine and Medical Imaging

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CiteExportLink to record
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  • harvard1
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