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放射技师对视觉分级分析作为评估图像质量的科学方法的看法。

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

作者信息

Precht H, Hansson J, Outzen C, Hogg P, Tingberg A

机构信息

Conrad Research Programme, University College Lillebelt, Niels Bohrs Alle 1, 5230, Odense M, Denmark; Medical Research Department, Odense University Hospital, Baagøes Àlle 15, 5700, Svendborg, Denmark; Department of Clinical Research, University of Southern Denmark, Winsløwsparken, 5000, Odense C, Denmark.

Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, SE-413 45, Gothenburg, Sweden; Department of Radiation Physics, Institute of Clinical Sciences, The Sahlgrenska Academy at University of Gothenburg, SE-413 45, Gothenburg, Sweden.

出版信息

Radiography (Lond). 2019 Oct;25 Suppl 1:S14-S18. doi: 10.1016/j.radi.2019.06.006. Epub 2019 Aug 2.

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.

IMPLICATION FOR PRACTICE

Detailed evaluation of image quality for optimisation studies related to technical definition of image quality.

摘要

引言

放射技师经常采取多种措施来平衡图像质量与辐射剂量(优化)。为使优化研究取得成功,需要仔细评估图像质量。目的是:1)讨论视觉分级分析(VGA)方法在图像质量评估方面的优点和局限性;2)从放射技师的角度概述该方法。

方法

视觉分级分析(VGA)方法是一种研究和讨论射线照相图像质量参数与X射线图像解读和感知之间关系的可行方法。VGA有许多优点,如成本低且能进行详细的图像质量评估,不过它在确保图像传达相关临床信息以及与基于任务的放射成像的关联性方面存在局限性。

结果

比较使用VGA和接受者操作特征(ROC)的经验,显然与ROC(PubMed中n = 122,686)相比,关于VGA的论文发表数量较少(PubMed中n = 1,384)。因此,与ROC的使用相比,VGA方法的科学经验有限。然而,VGA是一种更新的方法,并且正逐渐受到越来越多的关注。

结论

VGA的成功需要完成一系列步骤,例如定义VGA标准、选择VGA方法(绝对或相对)、纳入观察者、找到最佳图像显示平台、培训观察者以及为研究目的选择最佳统计方法等都应得到充分考虑。

对实践的启示

对与图像质量技术定义相关的优化研究进行图像质量的详细评估。

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