Computational Modeling and Applications
Image-guided computational modeling
In-vivo imaging can provide a wealth of information on the state of the cardiovascular system. However, forecasts of anatomical and functional changes based on current imaging data for a particular patient are notoriously difficult. In order to provide mechanistic insights and to enable prediction of disease progression based on individual patient’s data, additional tools are required. In close collaboration with international partners, we develop and apply image-guided, patient-specific biomechanical cardiac models to shed light on cause and progression of disease to eventually help improving treatment.
Translational imaging
While our ultimate aim concerns the development and application of imaging methodology on patients, preliminary testing and studies on models to elucidate fundamental relations are often invaluable. By using dedicated experimental high-field MR imaging equipment, uncertainty of findings due to limited resolution and signal-to-noise ratios are minimized and optimal imaging approaches and protocols for human application can be designed. In order to facilitate seamless translation from bench to bedside we are committed to unifying data acquisition and image reconstruction approaches.
Clinical studies and trials
Together with clinical partners at national and international hospitals, we validate novel imaging methodology relative to current reference standards and guidelines. In close collaboration with GyroTools LLC, an University spin-off company, we develop prototype scan and processing software that can be installed and executed on clinical MR imaging equipment to facilitate singe and multi center clinical trials. State-of-the art data collection and archiving systems are implemented to offer central data reading and analysis in accordance to international requirements.