Information loss via visual assessment of radiologic images using modified version of the low-contrast detailed phantom at direct DR system

Geso, M, Alghamdi, A, Shanahan, M, Alghamdi, S, Mineo, R and Aldhafery, B 2017, 'Information loss via visual assessment of radiologic images using modified version of the low-contrast detailed phantom at direct DR system', Journal of Medical Imaging and Radiation Sciences, vol. 48, no. 2, pp. 137-143.


Document type: Journal Article
Collection: Journal Articles

Title Information loss via visual assessment of radiologic images using modified version of the low-contrast detailed phantom at direct DR system
Author(s) Geso, M
Alghamdi, A
Shanahan, M
Alghamdi, S
Mineo, R
Aldhafery, B
Year 2017
Journal name Journal of Medical Imaging and Radiation Sciences
Volume number 48
Issue number 2
Start page 137
End page 143
Total pages 7
Publisher Elsevier
Abstract Introduction Quality in radiology images can be assessed by determining the levels of information retained or lost in an image. Information loss in images has been recently assessed via a method based on information theory and the employment of a contrast-detail (CD) phantom. In this study, the traditional CD phantom (air-Perspex) and a modified CD phantom were used. Methods Using the Agfa DX-D 600 digital flat panel system, six phantom radiographs were acquired at 70 kVp and 20 mAs. Three x-ray images were acquired for each phantom. Results Our results demonstrate that the material within the CD phantom influences total information loss (TIL) and image quality figure (IQF) measurements. The modified CD phantom provides a more realistic account of TIL and IQF for soft tissue radiology imaging. Conclusion It is recommended that a low inherent subject contrast phantom, such as this modified CD phantom, be added to the image quality assessment processes of radiology departments. In addition, use of both IQF and TIL to assess image quality will provide radiology departments with greater evidence on which to base decisions.
Subject Medical Physics
Keyword(s) contrast-detail phantom
digital radiography
image quality
image quality figure
information loss theory
IQF
DOI - identifier 10.1016/j.jmir.2017.02.069
Copyright notice © 2017 Published by Elsevier Inc. on behalf of Canadian Association of Medical Radiation Technologists
ISSN 1939-8654
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