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euHeart: personalized and integrated cardiac care using patient-specific cardiovascular modelling

By Nic Smith, Adelaide de Vecchi, Matthew McCormick, David Nordsletten, Oscar Camara, Alejandro F. Frangi, Hervé Delingette, Maxime Sermesant, Jatin Relan, Nicholas Ayache, Martin W. Krueger, Walther H. W. Schulze, Rod Hose, Israel Valverde, Philipp Beerbaum, Cristina Staicu, Maria Siebes, Jos Spaan, Peter Hunter, Juergen Weese, Helko Lehmann, Dominique Chapelle and Reza Rezavi

Abstract

The loss of cardiac pump function accounts for a significant increase in both mortality and morbidity in Western society, where there is currently a one in four lifetime risk, and costs associated with acute and long-term hospital treatments are accelerating. The significance of cardiac disease has motivated the application of state-of-the-art clinical imaging techniques and functional signal analysis to aid diagnosis and clinical planning. Measurements of cardiac function currently provide high-resolution datasets for characterizing cardiac patients. However, the clinical practice of using population-based metrics derived from separate image or signal-based datasets often indicates contradictory treatments plans owing to inter-individual variability in pathophysiology. To address this issue, the goal of our work, demonstrated in this study through four specific clinical applications, is to integrate multiple types of functional data into a consistent framework using multi-scale computational modelling

Topics: Articles
Publisher: The Royal Society
OAI identifier: oai:pubmedcentral.nih.gov:3262448
Provided by: PubMed Central
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