Model personalization


Computational models are a mathematical description of our understanding of the fundamental laws of physics and physiology. The personalization of models to the clinical status of a subject (or patient) provides two fundamental advantages: an enhancement of data (and information) quality, and the capacity to unveil novel diagnostic biomarkers.

Our approach

We develop model personalization tools focusing on two main aspects, cardiac anatomy and mechanical performance of the pump action. The constraint is to work with the spatial and temporal resolution available in routine clinical images (MRI, CT, US) while being able to provide an adequate level of accuracy and anatomical detail.

Further reading