This webinar first explained two basic perception models that form the basis of medical display calibration that is used worldwide in radiology display systems. This knowledge was then applied to understand what are important characteristics of medical displays, and how much these can influence reading efficiency and visibility of subtle medical image features.
Medical display systems are used to take life critical decisions related to diagnosis and treatment of patients. Especially in radiology images there are often subtle image features that are crucial for correct diagnosis. In case such features are not or barely visible then this can lead to longer reading times or even misdiagnosis. This webinar focused on understanding basic human visual system models that can predict whether an image feature is visible or not for a human observer. This knowledge was used to understand what technical characteristics of medical display influence visibility of subtle image features and therefore can impact reading time as well as quality of diagnosis.
A first model that will be explained is the JND model of Peter Barten, that formed the basis for DICOM GSDF calibration that is used in radiology displays worldwide. By means of clear practical image examples the basics of the JND model are explained. Effect of luminance and contrast on feature visibility will be explained both from a theoretical perspective as well as with clear practical examples and images. Effect of ambient light will be explained as well and examples will be given on how large the influence is of ambient light on visibility of subtle image features.
Since most medical displays today are colour displays, the extension of DICOM GSDF towards colour was discussed as well. In this part of the webinar the participants learnt about basic colour perception, and understood when colour differences will be visible for a human observer or not.
In the final part of the webinar link with medical displays were made. By using the learned models, we determined what the influence is of important characteristics of medical display systems (eg. display luminance, display contrast, display resolution, display colour settings) on how well these displays can visualise subtle medical image features. This was both demonstrated with practical image examples, but also with calculations that can in a quantitative way describe how large these effects are.
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