Open AccessDigital Medical Diagnostic Displays
Author(s) -
Branko Livada
Publication year - 2020
Publication title -
international journal of electrical engineering and computing
Language(s) - English
Resource type - Journals
ISSN - 2566-3682
DOI - 10.7251/ijeec2001033l
Subject(s) - computer science , human visual system model , medical imaging , eye tracking , medical diagnosis , visualization , perception , computer vision , display device , artificial intelligence , human–computer interaction , image (mathematics) , medicine , pathology , psychology , neuroscience , operating system
Digital medical imaging technology is developing rapidly in the last few decades and widely used as medical diagnostic tool. Medical image visual content analysis and interpretation is the most often method applied in detection and tracking of the pathogen behaviour of the imaged tissue. The human visual perception of the displayed image is limited by human visual system properties, display device characteristics and illumination environment influences during observation. In this review article we are analyzing how medical image specificities, human eye visual properties and display technology ultimate performances could be used to define medical image monitor technical requirements according to named application. We are focused on the analysis of the physical processes involved and technical aspects leading to optimization of the medical display requirements definition. This will help engineering and medical specialists to understand better medical display properties and provide more objective assessment of the display diagnostic suitability.