A Magnetic Resonance Imaging (MRI) exam consists of multiple scans. These scans produce contrast images, which are interpreted one-by-one by a radiologist. This paradigm lies at the origin of the long scan time (~20-30 minutes) and relatively high costs of MRI diagnostics. In the MR-STAT approach, a technique pioneered at the UMC Utrecht, a single, very short scan allows to reconstruct all quantitative MRI biomarker maps, which constitute the most fundamental MRI information. MR-STAT is compatible with all existing scanners and leads to shorter examinations and standardized, quantitative information.
The main target of this PhD project will be the inclusion of diffusion as a quantitative biomarker in the MR-STAT protocol. Diffusion weighted scans (DWI) have become a fundamental component of many clinical MRI exams in oncology and stroke. The inclusion of so-called Apparent Diffusion Constant (ADC) quantification in a multi-parametric sequence is at the present still an open problem.
You will be responsible for designing by means of simulations a diffusion MR-STAT acquisition and reconstruction methodology. Subsequently, you will program this technique on an MR scanner and validate it by means of experimental test. In-vivo testing on healthy volunteers for brain and prostate imaging will be performed.
The project will be carried out in the Computational Imaging group of University Medical Centre Utrecht. The research team consists of mathematicians, MRI-physicists and clinicians. More information about the research team can be found at www.cig-utrecht.org. Philips is a partner in the project as well.
We are looking for someone with a background in (applied) Mathematics, Physics, electrical or biomedical engineering with an affinity for physical modelling and experimentation. Are you a team-player and can you interact with colleagues from different scientific backgrounds? Then you may be the right candidate to strengthen our team!
To apply, send a motivation letter, CV and academic transcript (with grades).
The maximum salary for this position (36 - 36 hours) is € 3.196,00 gross per month based on full-time employment.
In addition, we offer an annual benefit of 8.3%, holiday allowance, travel expenses and career opportunities. The terms of employment are in accordance with the Cao University Medical Centers (UMC).
If you have any questions about this vacancy, please contact Alessandro Sbrizzi, Associate Professor, phone number: 088-75-50-288, e‑mail adress: firstname.lastname@example.org.
Acquisition based on this jobopening is not appreciated.