Cardiovascular Magnetic ResonanceOpen OpportunitiesThe aim of the project is to investigate the benefits, requirements and drawbacks of physics informed neural networks in the context of personalised cardiac and cardiovascular models - Biomechanical Engineering, Clinical Engineering, Computation Theory and Mathematics, Fluidization and Fluid Mechanics, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Simulation and Modelling
- Master Thesis
| The project focuses exploiting generative AI to build synthetic numerical phantom for cardiac anatomy and function suitable for representing population variability. - Biomechanical Engineering, Information, Computing and Communication Sciences
- Master Thesis
| The project aims to develop a compartment model for the cardiac muscle including the four major compartments (myocytes, mural cells, collagen and blood vessels). This model allows to simulated diffusion by solving local partial differential equations (PDE) with finite elements. This simulation approach has been established in diffusion tensor imaging (DTI) for the brain. You will be working on translating it to cardiac DTI. - Biomaterials, Biomechanical Engineering, Mechanical Engineering, Modeling and Simulation
- Master Thesis, Semester Project
| The project aims to utilize respiratory motion to estimate sample points between slices and thus increase spatial coverage for cardiac diffusion tensor imaging (cDTI). By using the respiratory navigator data, you will map in-vivo cDTI data to a 3D digital twin mesh and implement a tensor estimation to estimate sample points between slices based on spatial smoothness regularization. You then perform an accuracy evaluation on simulated data. - Biomedical Engineering, Human Biophysics, Medical Physics
- Bachelor Thesis, Master Thesis, Semester Project
| The aim of this project is to develop an automatic approach using physics-informed neural networks to infer hemodynamic parameters and flow quantities of in-silico aortic stenosis patients. - Engineering and Technology, Information, Computing and Communication Sciences, Mathematical Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| The aim of this project is to develop an approach based on physics-based graph neural networks to generate digital twins from PC-MRI data. - Artificial Intelligence and Signal and Image Processing, Biomedical Engineering, Fluidization and Fluid Mechanics, Turbulent Flows
- Master Thesis
|
|