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 on the development of a synthetic numerical phantom for cardiac anatomy and function suitable for representing population variability. - Biomechanical Engineering, Information, Computing and Communication Sciences
- Master Thesis
| 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
| 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
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