Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges (Bookzcity)

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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 by benchmarking of the developed tools. For doing so, common and available ground-truth data capturing generic knowledge on the healthy and pathological heart are 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. STACOM 2016 was held in conjunction with the MICCAI 2016 conference (Athens, Greece) and followed on from the past six editions: STACOM 2015 (Munich, Germany), STACOM 2014 (Boston, USA), STACOM 2013 (Nagoya, Japan), STACOM 2012 (Nice, France), STACOM 2011 (Toronto, Canada), and STACOM 2010 (2010, Beijing, China). Our main goal was to organize an international event to provide a forum for the discussion of the latest developments in the areas of statistical atlases and computational imaging and modelling of the heart.

The topics of the workshop included: cardiac image processing, atlas construction, statistical modelling of cardiac function across different patient populations, cardiac mapping, cardiac computational physiology, model customization, image-based modelling and image-guided interventional procedures, atlas-based functional analysis, ontological schemata for data and results, integrated functional and structural analyses, as well as the pre-clinical and clinical applicability of these methods. STACOM 2016 received many submissions from around the World, with 24 excellent papers finally accepted to be presented at the workshop and to be published in an LNCS proceedings volume by Springer. Besides regular contributions on state-of–the-art cardiac image analysis techniques, atlases, and computational models that integrate data from large-scale databases of heart shape, function and physiology, computational electrophysiology, and biomechanics, additional efforts of this year’s STACOM 2016 workshop included a challenge dedicated to the segmentation of left atrial wall thickness (SLAWT), described here.