ERC Starting Grant · 2019
High-fidelity Cardiovascular Modeling from Super-Fast Magnetic Resonance Imaging
Biophysical computational models of the cardiovascular system need to be adapted to each particular patient from clinical data. Since the state-of-the-art imaging method for assessing cardiovascular diseases is Magnetic Resonance Imaging (MRI), MRI is the preferred source of data for the personalization of the models. However, MRI is still not able to reliably image the kinematics of thin structures like cardiac valves and the arterial wall. Moreover, MRI measurements of the 3D kinematics of the heart is a challenging task. These restrictions hamper the clinical translation of patient-specific modeling. Therefore, a new paradigm for model personalization is urgently needed. The ambition of…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.