Upon close inspection seemingly distinct problems are often underpinned by the same scientific challenges. In this project we face this situation in relation to diagnosing heart disease and improving neurosurgery. The challenge we take up is to use Magnetic Resonance Imaging (MRI) to detect tiny magnetic field alterations, called susceptibilities, induced by the vessel networks in the heart and brain. Advanced post-processing and machine learning techniques allow us to extract information on the integrity of the blood supply. We will translate this imaging information to the clinic in two seemingly distinct applications. First, we will use this technique to improve functional imaging of the brain and help neurosurgeons to perform brain surgery quicker and more accurately. Secondly, we will help cardiologists to detect damaging heart disease earlier and stage the disease progression non-invasively in order to optimize treatment and care.
For this project we are looking for two self-motivated postdocs with a strong interest in working in a flagship multidisciplinary project between Erasmus MC and TU Delft, supported by the Convergence initiative. The post docs in this project will realize exciting and new imaging contrasts with MRI based on quantitative susceptibility mapping. The work includes designing physical susceptibility models of the myocardial microvasculature and utilizing those for cardiac quantitative susceptibility mapping (cQSM). We also develop new methods for functional neuroimaging based on QSM (fQSM).
The post doc based at TU Delft is expected to primarily focus on modelling and cardiac imaging. The post-doc at Erasmus MC will focus on neuroimaging and image post-processing and analysis, including the development of deep learning based post-processing pipelines. Pulse sequence developments will be performed collaboratively. Both post docs will be exposed to both clinical and basic research environments, and embedded in a dynamic, multi-disciplinary team based at TU Delft and Erasmus MC, including MR physicists, biomedical engineers, cardiologists, cardiac and neurosurgeons and neuro-radiologists.
Qualification and skills
- Ph.D. degree in Physics, Electrical Engineering, Biomedical Engineering, or a related field and strong publication record in the area of MRI research
- Experience with MR pulse sequence development (preferably Philips or GE), or modern MR reconstruction techniques is highly advantageous
- Strong programming skills, preferably in C++, are essential
- Previous experience with deep learning in medical imaging is advantageous for the position at Erasmus MC
The postdocs should have a deep interest in the convergence of health sciences, physical sciences, and engineering to foster individual health and keep the healthcare system sustainable. They will work closely with the supervisors, Principal investigators and Collaborating investigators of the project to conduct high calibre research. They are also encouraged to initiate and lead collaborative work with other postdocs within the Convergence for health(care) initiative. Salary will be commensurate with qualification and experience.
About this position
Recruitment takes place until the vacancy is filled.
Hours a week: 36
Juan A. Hernandez-Tamames, PhD
Quantitative Susceptibility MRI