An industrial perspective on open issues and challenges of Medical data and image analysis
Sergio Paddeu (Esaote, Genova, Italy)

Biomedical advanced imaging platform based on different technologies require to accomplish the extremely pressing need to manage, visualize, elaborate and report the very large dataset of images generated within a distributed healthcare system, starting from 2D up to 4D, including advanced man-machine interface for volume visualization, CAD and modelling-simulations tools at different degree of complexity. The existing medical images management infrastructures will not satisfy in the near future the more and more complex and strict performances resulting from the large dataset size, geographic distribution of users, resources, institutions and computational intensive analysis. These integrated and distributed healthcare systems will determine new clinical workflows which will consequently affect the overall clinical practice. The development and availability of advanced and specialized clinical tools, such as Computer Assisted Diagnosis (CAD) modules or 3D-4D Visual Volume Workstations will be more and more demanded by healthcare providers. In order to address this upcoming complexity, the research will focus on providing advance to improve the quality of patient care through the development of a platform able to provide more accurate diagnosis, therapy and treatment, by leveraging the benefits of emerging and challenging technologies concerning both imaging modalities, secured access to databases of medical images and related data as well as on new computing paradigms which include virtual environments, simulation tools and predictive health systems. This challenging framework will be considered and analysed by taking into account the industrial perspective as well as the impact on clinical practice.

Download slides