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Owing to its clinical importance, there has been a growing body of research on understanding the hemodynamics of cerebral aneurysms. Traditionally, this work has been performed using general-purpose, state-of-the-art commercial solvers. This has meant requiring engineering expertise for making appropriate choices on the geometric discretization, time-step selection, choice of boundary conditions etc...
We introduce a model-based approach for the non-invasive estimation of patient specific, left ventricular PV loops. A lumped parameter circulation model is used, composed of the pulmonary venous circulation, left atrium, left ventricle and the systemic circulation. A fully automated parameter estimation framework is introduced for model personalization, composed of two sequential steps: first, a series...
In this paper, we present a framework for uncertainty quantification in medical image-based patient-specific hemodynamic computations. To illustrate the overall methodology, we have used an aortic coarctation model for computing trans-stenotic pressure gradient. Variance-based Sobol sensitivity indices are used to evaluate the relative influence of the various uncertain measurements and model parameters...
We introduce a patient-specific model for coronary circulation, by combining anatomical, hemodynamic and functional information from medical images and other clinical observations. The main components of the coupled model are: a lumped heart model, a reduced-order model for hemodynamics in the arterial vessel tree (both healthy and stenosed), and a physiological model for the microvascular bed. The...
Cloud computing is gaining in popularity. At the same time, the global community is becoming increasingly conscious about sustainability. While intuitively Cloud computing, due to resource consolidation and virtualization, economies of large scale, delivery on demand, etc., has the potential to be more sustainable than well tuned data centers, this is not guaranteed. To evaluate and understand Cloud...
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