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- Title
Clinical Diagnostic Biomarkers from the Personalization of Computational Models of Cardiac Physiology.
- Authors
Lamata, Pablo; Cookson, Andrew; Smith, Nic
- Abstract
Computational modelling of the heart is rapidly advancing to the point of clinical utility. However, the difficulty of parameterizing and validating models from clinical data indicates that the routine application of truly predictive models remains a significant challenge. We argue there is significant value in an intermediate step towards prediction. This step is the use of biophysically based models to extract clinically useful information from existing patient data. Specifically in this paper we review methodologies for applying modelling frameworks for this goal in the areas of quantifying cardiac anatomy, estimating myocardial stiffness and optimizing measurements of coronary perfusion. Using these indicative examples of the general overarching approach, we finally discuss the value, ongoing challenges and future potential for applying biophysically based modelling in the clinical context.
- Subjects
HEART physiology; BIOMARKERS; CARDIAC imaging; BIOMECHANICS; COMPUTATIONAL mechanics; HEART anatomy
- Publication
Annals of Biomedical Engineering, 2016, Vol 44, Issue 1, p46
- ISSN
0090-6964
- Publication type
Article
- DOI
10.1007/s10439-015-1439-8