PhD Defence Tijmen Johan Koopsen

Keywords: Heart failure, Pacemaker therapy, Non-invasive imaging, Digital twin

 

"Patterns with Potential Advancing Cardiac Resynchronization Therapy through Imaging-Based Personalized Heart Modeling"

This thesis investigated whether a personalized computer model of the heart can be used to predict the effect of pacemaker therapy in patients with heart failure. Wall motion patterns of the heart, obtained using echocardiography, were integrated into the CircAdapt model of the human heart and circulation to create a digital twin of the patient. In this digital twin, a virtual representation of the real patient, a pacemaker therapy was simulated to predict the degree of cardiac pump function improvement within the model. This thesis showed that predictions in the digital twin were indicative of the real clinical outcome which was observed in the patient. This technology could serve as a diagnostic and therapeutic support tool in patients with heart failure.

Click here for the live stream.