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Method of simulating dose reduction for digital radiographic systems.

Journal article
Authors Magnus Båth
Markus Håkansson
Anders Tingberg
Lars Gunnar Månsson
Published in Radiation protection dosimetry
Volume 114
Issue 1-3
Pages 253-9
ISSN 0144-8420
Publication year 2005
Published at Institute of Selected Clinical Sciences, Department of Radiation Physics
Pages 253-9
Language en
Links dx.doi.org/10.1093/rpd/nch540
Keywords Algorithms, Artifacts, Computers, Dose-Response Relationship, Radiation, Humans, Image Processing, Computer-Assisted, Phantoms, Imaging, Radiographic Image Enhancement, Radiographic Image Interpretation, Computer-Assisted, methods, Radiography, instrumentation, methods, Radiography, Thoracic, methods, Radiometry, Technology, Radiologic
Subject categories Radiological physics, Radiology

Abstract

The optimisation of image quality vs. radiation dose is an important task in medical imaging. To obtain maximum validity of the optimisation, it must be based on clinical images. Images at different dose levels can then either be obtained by collecting patient images at the different dose levels sought to investigate-including additional exposures and permission from an ethical committee-or by manipulating images to simulate different dose levels. The aim of the present work was to develop a method of simulating dose reduction for digital radiographic systems. The method uses information about the detective quantum efficiency and noise power spectrum at the original and simulated dose levels to create an image containing filtered noise. When added to the original image this results in an image with noise which, in terms of frequency content, agrees with the noise present in an image collected at the simulated dose level. To increase the validity, the method takes local dose variations in the original image into account. The method was tested on a computed radiography system and was shown to produce images with noise behaviour similar to that of images actually collected at the simulated dose levels. The method can, therefore, be used to modify an image collected at one dose level so that it simulates an image of the same object collected at any lower dose level.

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