CardioFunXion · Towards a novel paradigm for cardiac function assessment from imaging

Towards a novel paradigm for cardiac function assessment from imaging

CardioFunXion has contributed to a novel paradigm for integrated assessment, combining (image-based) measurements with (model- and machine learning-based) incorporation of physiological knowledge and clinical guidelines. Project outcomes include assessment tools for validation (improving reproducibility) and integration (simplifying interpretation) of cardiac function. These novel approaches took place by connecting the imaging industry with the academic and clinical worlds through a combination of research projects with dedicated training initiatives to develop an intersectorial and interdisciplinary culture. CardioFunXion had 2 main aims: to develop a framework for the integrated Assessment in Cardiovascular Diseases, and to develop a culture for integrating higher-education, clinical users and technology providers. The first aim has revolved around the implementation of 4 projects for the multimodal assessment of cardiac function: longitudinal assessment of cardiac function; integration of multimodal measurements into a consistent, physiologically plausible patient representation; designing realistic models for explicit validation tools of novel image analysis algorithms; automated construction of decision trees for heart failure assessment. The second aim was promoted by the organisation of training events such as the Barcelona VPH Summer School (4 editions), the CardiofunXion winter schools (Paris, 2 editions); the establishment of collaborations at the level of the individual projects with a broad spectrum of actors; and the support to policy actions such as the HUMAINT project from the Joint Research Center of the EC. The active, enthusiastic and useful involvement of a broad variety of organisations from the industrial, clinical, academic and policy world has confirmed the relevance of the inter-sectorial approach that CardiofunXion proposed with the support of the Marie Curie program.

Data: CORDIS, © European Union