Cardiovascular Magnetic Resonance

Open Opportunities

Spin diffusion in nanoparticles ETH Zurich Cardiovascular Magnetic Resonance The aim of this project is to study the nuclear spin diffusion in semiconducting nanoparticles as a potential next generation hyperpolarized imaging agent Biomaterials, Biosensor Technologies, Condensed Matter Physics-Electronic and Magnetic Properties; Superconductivity, Condensed Matter Physics-Structural Properties, Heat and Mass Transfer Operations, Nanotechnology, Physical Chemistry Bachelor Thesis, Master Thesis, Semester Project

Physics Simulator for Optimized MRI of Metal Implants ETH Zurich Cardiovascular Magnetic Resonance Magnetic resonance imaging (MRI) of patients with metallic implants is challenging due to local metal-induced field disturbances, which translate into significant image artifacts. The primary objectives of this research project are to accelerate existing acquisition approaches and to improve image quality by optimizing MR sequence parameters. Biomedical Engineering Master Thesis

Non-contact pulse oximetry for MRI ETH Zurich Cardiovascular Magnetic Resonance Pulse oximetry during Magnetic Resonance Imaging (MRI) helps to monitor the well-being of the patients and to obtain information about their physiology. However, the standard oximetry finger clip complicates the process and therefore it is the aim of the project to build a contactless pulse oximeter that can be integrated into a novel low-field MRI scanner. To this end, an MRI compatible camera will be deployed to illuminate the face and to quantify the reflected light intensity on volunteers. Machine learning algorithms will be used to derive physiology triggers to e.g. control the MRI data acquisition process. Biomedical Engineering Bachelor Thesis, Master Thesis, Semester Project

In-silico cardiac and cardiovascular modelling with physics informed neural networks ETH Zurich Cardiovascular Magnetic Resonance The 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

Computational Fluid Dynamics of Blood Flow in the Aorta ETH Zurich Cardiovascular Magnetic Resonance The aim of this project is to investigate and characterize flow patterns in various patient-specific aortic geometries using CFD. Biomechanical Engineering, Fluidization and Fluid Mechanics, Mechanical Engineering, Turbulent Flows Master Thesis