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Radiographers' perspectives' on Visual Grading Analysis as a scientific method to evaluate image quality

Journal article
Authors H. Precht
Jonny Hansson
C. Outzen
P. Hogg
A. Tingberg
Published in Radiography
Volume 25
Issue Suppl. 1
Pages S14-S18
ISSN 1078-8174
Publication year 2019
Published at Institute of Clinical Sciences, Department of Radiation Physics
Pages S14-S18
Language en
Links dx.doi.org/10.1016/j.radi.2019.06.0...
Keywords Visual Grading Analysis, VGA, Visual image quality analysis, Image quality assessment method, observer performance, software, efficiency, scale, Radiology, Nuclear Medicine & Medical Imaging
Subject categories Radiology, Nuclear Medicine and Medical Imaging

Abstract

Introduction: Radiographers routinely undertake many initiatives to balance image quality with radiation dose (optimisation). For optimisation studies to be successful image quality needs to be carefully evaluated. Purpose was to 1) discuss the strengths and limitations of a Visual Grading Analysis (VGA) method for image quality evaluation and 2) to outline the method from a radiographer's perspective. Methods: A possible method for investigating and discussing the relationship between radiographic image quality parameters and the interpretation and perception of X-ray images is the VGA method. VGA has a number of advantages such as being low cost and a detailed image quality assessment, although it is limited to ensure the images convey the relevant clinical information and relate the task based radiography. Results: Comparing the experience of using VGA and Receiver Operating Characteristic (ROC) it is obviously that less papers are published on VGA (Pubmed n=1.384) compared to ROC (Pubmed n=122.686). Hereby the scientific experience of the VGA method is limited compared to the use of ROC. VGA is, however, a much newer method and it is slowly gaining more and more attention. Conclusion: The success of VGA requires a number of steps to be completed, such as defining the VGA criteria, choosing the VGA method (absolute or relative), including observers, finding the best image display platforms, training observers and selecting the best statistical method for the study purpose should be thoroughly considered. (C) 2019 Published by Elsevier Ltd on behalf of The College of Radiographers.

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