BENCHMARKING OF CT FOR PATIENT EXPOSURE OPTIMISATION.

Details

Serval ID
serval:BIB_144B5A8E8536
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
BENCHMARKING OF CT FOR PATIENT EXPOSURE OPTIMISATION.
Journal
Radiation protection dosimetry
Author(s)
Racine D., Ryckx N., Ba A., Ott J.G., Bochud F.O., Verdun F.R.
ISSN
1742-3406 (Electronic)
ISSN-L
0144-8420
Publication state
Published
Issued date
04/2016
Peer-reviewed
Oui
Volume
169
Number
1-4
Pages
78-83
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
Patient dose optimisation in computed tomography (CT) should be done using clinically relevant tasks when dealing with image quality assessments. In the present work, low-contrast detectability for an average patient morphology was assessed on 56 CT units, using a model observer applied on images acquired with two specific protocols of an anthropomorphic phantom containing spheres. Images were assessed using the channelised Hotelling observer (CHO) with dense difference of Gaussian channels. The results were computed by performing receiver operating characteristics analysis (ROC) and using the area under the ROC curve (AUC) as a figure of merit. The results showed a small disparity at a volume computed tomography dose index (CTDIvol) of 15 mGy depending on the CT units for the chosen image quality criterion. For 8-mm targets, AUCs were 0.999 ± 0.018 at 20 Hounsfield units (HU) and 0.927 ± 0.054 at 10 HU. For 5-mm targets, AUCs were 0.947 ± 0.059 and 0.702 ± 0.068 at 20 and 10 HU, respectively. The robustness of the CHO opens the way for CT protocol benchmarking and optimisation processes.

Keywords
Benchmarking/standards, Practice Guidelines as Topic, Radiation Exposure/analysis, Radiation Exposure/prevention & control, Radiation Monitoring/standards, Radiation Protection/standards, Radiographic Image Enhancement/standards, Reproducibility of Results, Sensitivity and Specificity, Switzerland, Tomography, X-Ray Computed/standards
Pubmed
Create date
10/03/2016 18:30
Last modification date
21/08/2019 5:34
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