Improved Phenotyping of Cardiomypathy Patients by Means of Imaging-Driven Computational Modeling of Cardiac Biomechanics

This project is a cooperation between the Institute of Biomedical Engineering (KIT, Karlsruhe) and the University Hospital in Heidelberg. The aim is to combine cardiovascular magnetic resonance imaging (CMR) with computational modeling of cardiac biomechanics in order to improve diagnosis of cardiomyopathy.

Before a cardiomyopathy case can be examined, a healthy case needs to be represented in-silico correctly. First, we agreed on a measurement protocol, which provides enough data for the computational model for both input and validation. (Note, that for the first examined case, which is a healthy volunteer, an invasive measurement cannot be conducted and therefore no blood pressure data over the whole heart cycle can be collected.) Second, the healthy volunteer  underwent a cardiovascular magnetic resonance imaging procedure: 3D whole heart, 2 chamber view, 4 chamber view, 12 short axis slices Cine and strain encoded MRI (SENC).

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