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

Artikel i vetenskaplig tidskrift
Författare H. Precht
Jonny Hansson
C. Outzen
P. Hogg
A. Tingberg
Publicerad i Radiography
Volym 25
Nummer/häfte Suppl. 1
Sidor S14-S18
ISSN 1078-8174
Publiceringsår 2019
Publicerad vid Institutionen för kliniska vetenskaper, Avdelningen för radiofysik
Sidor S14-S18
Språk en
Länkar dx.doi.org/10.1016/j.radi.2019.06.0...
Ämnesord Visual Grading Analysis, VGA, Visual image quality analysis, Image quality assessment method, observer performance, software, efficiency, scale, Radiology, Nuclear Medicine & Medical Imaging
Ämneskategorier Radiologi och bildbehandling

Sammanfattning

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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