On the Subjective Assessment of the Perceived Quality of Medical Images and Videos
Lucie Lévêque, Hantao Liu, Sabina Baraković, Jasmina Baraković Husić, Maria G. Martini, Meriem Outtas, Lu Zhang, Asli Kumcu, Ljiljana Platiša, Rafael Rodrigues, Antonio M. G. Pinheiro, Athanassios N. Skodras · 2018
Medical professionals are viewing an increasing number of images and videos in their clinical routine. However, various types of distortions can affect medical imaging data, and therefore impact the viewers' experienced quality and their clinical practice. Thus it is necessary to quantify this impact and understand how the viewers, i.e., medical experts, perceive the quality of (distorted) images and videos. In this paper, we present an up-to-date review of the methodologies used in the literature for the subjective quality assessment of medical images and videos and discuss their merits and drawbacks depending on the use case.