Image quality in CT: From physical measurements to model observers.

Details

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State: Public
Version: Final published version
Serval ID
serval:BIB_424B40CC4591
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Image quality in CT: From physical measurements to model observers.
Journal
Physica Medica : Pm : An International Journal Devoted To the Applications of Physics To Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (aifb)
Author(s)
Verdun F.R., Racine D., Ott J.G., Tapiovaara M.J., Toroi P., Bochud F.O., Veldkamp W.J., Schegerer A., Bouwman R.W., Giron I.H., Marshall N.W., Edyvean S.
ISSN
1724-191X (Electronic)
ISSN-L
1120-1797
Publication state
Published
Issued date
2015
Peer-reviewed
Oui
Volume
31
Number
8
Pages
823-843
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't ; Review
Publication Status: ppublish
Abstract
Evaluation of image quality (IQ) in Computed Tomography (CT) is important to ensure that diagnostic questions are correctly answered, whilst keeping radiation dose to the patient as low as is reasonably possible. The assessment of individual aspects of IQ is already a key component of routine quality control of medical x-ray devices. These values together with standard dose indicators can be used to give rise to 'figures of merit' (FOM) to characterise the dose efficiency of the CT scanners operating in certain modes. The demand for clinically relevant IQ characterisation has naturally increased with the development of CT technology (detectors efficiency, image reconstruction and processing), resulting in the adaptation and evolution of assessment methods. The purpose of this review is to present the spectrum of various methods that have been used to characterise image quality in CT: from objective measurements of physical parameters to clinically task-based approaches (i.e. model observer (MO) approach) including pure human observer approach. When combined together with a dose indicator, a generalised dose efficiency index can be explored in a framework of system and patient dose optimisation. We will focus on the IQ methodologies that are required for dealing with standard reconstruction, but also for iterative reconstruction algorithms. With this concept the previously used FOM will be presented with a proposal to update them in order to make them relevant and up to date with technological progress. The MO that objectively assesses IQ for clinically relevant tasks represents the most promising method in terms of radiologist sensitivity performance and therefore of most relevance in the clinical environment.
Keywords
Humans, Image Processing, Computer-Assisted, Observer Variation, Quality Assurance, Health Care/methods, Tomography, X-Ray Computed
Pubmed
Web of science
Open Access
Yes
Create date
11/01/2016 18:37
Last modification date
20/08/2019 14:44
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