Fundamental principles of data assimilation underlying the Verdandi library: applications to biophysical model personalization within euHeart

• Published in: Medical & biological engineering & computing Vol. 51; no. 11; pp. 1221 - 1233
• Main Authors: Chapelle, D., Fragu, M., Mallet, V., Moireau, P.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2013; Springer Nature B.V; Springer Verlag
• Subjects: Algorithms; Biomedical and Life Sciences; Biomedical engineering; Biomedical Engineering and Bioengineering; Biomedicine; Cardiovascular system; Computer Applications; Computer based modeling; Customization; Data assimilation; Database Management Systems; Databases, Factual; Geophysics; Human Physiology; Humans; Imaging; Libraries; Mathematics; Models, Cardiovascular; Numerical Analysis; Ordinary differential equations; Partial differential equations; Physical properties; Radiology; Software; Special Issue - Original Article; Studies; Variables; France; Cardiac models; Personalized modeling; Software library; Data assimilation
• ISSN: 0140-0118; 1741-0444
• DOI: 10.1007/s11517-012-0969-6

We present the fundamental principles of data assimilation underlying the Verdandi library, and how they are articulated with the modular architecture of the library. This translates—in particular—into the definition of standardized interfaces through which the data assimilation library interoperates with the model simulation software and the so-called observation manager. We also survey various examples of data assimilation applied to the personalization of biophysical models, in particular, for cardiac modeling applications within the euHeart European project. This illustrates the power of data assimilation concepts in such novel applications, with tremendous potential in clinical diagnosis assistance.