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Radius-closing the circle on the assessment of imaging performance

Moores, BM ; Mattsson, Sören LU ; Mansson, LG ; Panzer, W ; Regulla, D ; Dance, D ; Carlsson, GA ; Verdun, F ; Buhr, FR and Buhr, E , et al. (2005) In Radiation Protection Dosimetry 114(1-3). p.450-457
Abstract
The RADIUS (Radiological Imaging Unification Strategy) project addresses the assessment of image quality in terms of both physical and clinically relevant measures. The aim is to unify our understanding of both types of measure as well as the numerous underlying factors that play a key role in the assessments of imaging performance. In this way it is expected to provide a solid basis for the improvement in radiological safety management, where not only radiation risks are considered but also diagnostic risks of incorrect clinical outcomes (i.e. false positive/false negative). The project has applied a variety of relevant experimental and theoretical methods to this problem, which , generic to medical Imaging as a whole. Digital radiography... (More)
The RADIUS (Radiological Imaging Unification Strategy) project addresses the assessment of image quality in terms of both physical and clinically relevant measures. The aim is to unify our understanding of both types of measure as well as the numerous underlying factors that play a key role in the assessments of imaging performance. In this way it is expected to provide a solid basis for the improvement in radiological safety management, where not only radiation risks are considered but also diagnostic risks of incorrect clinical outcomes (i.e. false positive/false negative). The project has applied a variety of relevant experimental and theoretical methods to this problem, which , generic to medical Imaging as a whole. Digital radiography of the chest and the breast has been employed as the clinical imaging domain vehicles for the study. The project addressed the problem from the following directions: role and relevance of pathology. human observer studies including receiver operating characteristics, image quality criteria analysis, structural noise analysis, physical measurements on clinical images, physical measurements on imaging system, modelling of imaging system, modelling of visual processes, modelling of doses delivered and IT-based scientific support strategies, This paper presents an overview of the main outcomes from this project and highlights how the research outcomes actually apply to the real world. In particular, attention will be focused on new and original findings and methods and techniques that have been developed within the framework of the project. The relevance of the project's outcomes to future European research will also be presented. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Radiation Protection Dosimetry
volume
114
issue
1-3
pages
450 - 457
publisher
Oxford University Press
external identifiers
  • wos:000229927400081
  • pmid:15933154
  • scopus:21244503538
ISSN
1742-3406
DOI
10.1093/rpd/nch515
language
English
LU publication?
yes
id
094adb65-0405-4bcd-b038-5162ddb9fc4e (old id 895244)
date added to LUP
2016-04-01 15:19:44
date last changed
2022-03-22 03:52:55
@article{094adb65-0405-4bcd-b038-5162ddb9fc4e,
  abstract     = {{The RADIUS (Radiological Imaging Unification Strategy) project addresses the assessment of image quality in terms of both physical and clinically relevant measures. The aim is to unify our understanding of both types of measure as well as the numerous underlying factors that play a key role in the assessments of imaging performance. In this way it is expected to provide a solid basis for the improvement in radiological safety management, where not only radiation risks are considered but also diagnostic risks of incorrect clinical outcomes (i.e. false positive/false negative). The project has applied a variety of relevant experimental and theoretical methods to this problem, which , generic to medical Imaging as a whole. Digital radiography of the chest and the breast has been employed as the clinical imaging domain vehicles for the study. The project addressed the problem from the following directions: role and relevance of pathology. human observer studies including receiver operating characteristics, image quality criteria analysis, structural noise analysis, physical measurements on clinical images, physical measurements on imaging system, modelling of imaging system, modelling of visual processes, modelling of doses delivered and IT-based scientific support strategies, This paper presents an overview of the main outcomes from this project and highlights how the research outcomes actually apply to the real world. In particular, attention will be focused on new and original findings and methods and techniques that have been developed within the framework of the project. The relevance of the project's outcomes to future European research will also be presented.}},
  author       = {{Moores, BM and Mattsson, Sören and Mansson, LG and Panzer, W and Regulla, D and Dance, D and Carlsson, GA and Verdun, F and Buhr, FR and Buhr, E and Hoeschen, C}},
  issn         = {{1742-3406}},
  language     = {{eng}},
  number       = {{1-3}},
  pages        = {{450--457}},
  publisher    = {{Oxford University Press}},
  series       = {{Radiation Protection Dosimetry}},
  title        = {{Radius-closing the circle on the assessment of imaging performance}},
  url          = {{http://dx.doi.org/10.1093/rpd/nch515}},
  doi          = {{10.1093/rpd/nch515}},
  volume       = {{114}},
  year         = {{2005}},
}