Subjective Image Quality Assessment : A Pre-Assessment on Visual Distortion of Medical Images by Clinicians and Radiologists

Sun, Yuhao and Zhao, Yamei and Sun, Junsheng (2021) Subjective Image Quality Assessment : A Pre-Assessment on Visual Distortion of Medical Images by Clinicians and Radiologists. In: 2020 7th International Conference on Information Science and Control Engineering, ICISCE 2020 :. IEEE. ISBN 9781728164076

Abstract

Interdisciplinary researches are increasingly significant in the current global situation. Image Quality Assessment, or IQA, is a process to determine the level of accuracy to a single image. In IQA, usually, two essential assessments will involve, which are Subjective IQA and Objective IQA. This paper proposes a novel ’pre-assessment’ approach, combining with Subjective IQA, aiming for researchers to receive relevant knowledge which is beyond their principle professional fields, so that they can design and plan the formal Subjective and Objective IQA suitably and accordingly. In the paper, a practised example named ’Predict the Impact of Visual Distortion on Medical Images’ has been introduced throughout, which has demonstrated the efficiencies of supposed pre-assessment methodology, by necessary statistics and analysis. The paper also summarises several circumstances where recommend researchers to consider to conduct a pre-assessment, especially under interdisciplinary researches.