Recently, there has been considerable progress in cardiac image analysis techniques, cardiac atlases and computational models, which can integrate data from large-scale databases of heart shape, function and physiology. Integrative models of cardiac function are important for understanding disease, evaluating treatment, and planning intervention. However, significant clinical translation of these tools is constrained by the lack of complete and rigorous technical and clinical validation, as well as benchmarking of the developed tools. For doing so, common and available ground-truth data capturing generic knowledge on the healthy and pathological heart is required. This knowledge can be acquired through the building of statistical models of the heart. Several efforts are now established to provide web-accessible structural and functional atlases of the normal and pathological heart for clinical, research and educational purposes. We believe all these approaches will only be effectively developed through collaboration across the full research scope of the imaging and modelling communities.
This workshop will follow on from the successful STACOM'10, STACOM'11and STACOM'12 workshops, which have attracted over 50 participants each and were published in the Springer Lecture Notes in Computer Science series. The workshop will provide a forum for the discussion of the latest developments in the areas of heart mapping, including atlas construction, statistical modeling of cardiac function across patient groups, cardiac computational physiology, model personalization, ontological schemata for data and results, atlas based functional analysis, and integrated functional/structural analyses, as well as the clinical applicability of these methods.
Topics include but are not limited to:
The workshop will be of interest to computer scientists working in imaging and computational modeling, but also to experts in cardiology, radiology, biology and physiology. Through this workshop we would also particularly like to engage a new generation of early career researchers in working at these interfaces. In addition, two challenges utilizing data from human studies will be organized: a segmentation challenge on left atrium from MRI and CT patient datasets from King's College London and Philips Technologie GmbH, and a Computational Fluid Dynamics (CFD) challenge organized by Siemens Corporation, Corporate Research and Technology and King's College London to evaluate the performance of fluid simulations on patient-specific geometries.