Verified construction of correct and optimised parallel software
Data produced by imaging systems is ever growing in size and complexity. Extracting, presenting, and communicating information from “big” (large, complex, heterogeneous) imaging data is a fundamental problem, which is relevant in many areas, ranging from medical care to high-tech information systems. The main research question in this project is how to develop IT support for diagnostic and decision-making processes based on large and complex imaging data. The approach is based on developing novel graphics, visualization, and interaction methods for the exploration of imaging data. A key element is the use of storytelling as a means of visual data communication.
Visual storytelling is an innovative approach for visual presentation and communication that is especially important in situations where the data analyst is not the same person as the decision-maker, and information needs to be exchanged in an intuitive and easy-to-remember way. Diagnostics in radiology will be the primary use case to test the developed approaches. Because of recent developments in information technology and big data, the focus of radiology is shifting and disruptive technologies are required to allow radiology to position itself as a future-proof specialty in Healthcare.