The TRABIT project
The 'Translational Brain Imaging Training Network' (TRABIT) research project aims to bring innovative quantitative neuro image computing methods into the clinic, enabling improved healthcare delivery to patients with brain disease. The research in TRABIT will be performed within a network of 10 R&D institutes spread over Europe, which will host a total of 15 Early Stage Researchers (ERSs), supported by the highly prestigious and competitive Marie Curie Innovative Training Networks (ITN) fellowship program (
https://ec.europa.eu/research/mariecurieactions/about/innovative-training-networks_en).
The team
You will become part of the Medical Image Analysis group at the Department of Biomedical Engineering, Eindhoven University of Technology. The group consists of around 20 researchers, all working on the development of image analysis methodology as well as clinical applications. Collaborations with various hospitals and with industry ensure involvement of clinical experts, and hence a focus on clinically relevant topics. Through various (formal and less formal) meetings, the members of the group share ideas and work together in an enthusiastic and encouraging atmosphere. More information on the group can be found at
www.tue.nl/image.
The Department of Biomedical Engineering consists of a large number of research groups, clustered around three themes: (i) Chemical Biology, (ii) Biomechanics and Tissue Engineering and (iii) Biomedical Imaging and Modeling. The department offers research driven Bachelor and Masters programmes. The department has more than 1,000 students and up to 200 tenured and non-tenured employees.
For this Marie Curie ITN project, you will also work for extended secondments (short externships) at the University Medical Center Utrecht, The Netherlands (
www.umcutrecht.nl), at Philips Healthcare, The Netherlands (
www.philips.com) and the Fraunhofer MEVIS Institute, Germany (
www.mevis.fraunhofer.de). You will be co-supervised by prof. dr. Marcel Breeuwer (Principal Scientist at Philips Healthcare) and dr. Alexander Leemans (UMC Utrecht).
The TRABIT project will provide high quality network-wide scientific training courses and complementary skills training.
Your role and responsibilities
The project will be executed in close cooperation with another researcher, an ESR that will be employed at Philips Healthcare, Best, (TRABIT-ESR10). The research will focus on innovative methods for accurate and robust tracking of nerve fibers in the brain around brain tumors, to improve the planning and execution of treatment of such tumours. Your research will primarily focus on the development of algorithms for tracking nerve fibers from diffusion-weighted magnetic resonance images (DW-MRI) and determining the uncertainty of those. The other ESR will work on the integration of these algorithms into an easy-to-use, accurate and robust clinical software prototype application, including the clinical validation of this software application.
Your research will especially cover the following aspects:
Developing and validating accurate, efficient and robust algorithms to track brain nerve fibers in diffusion MRI from patient with pathology.Visualizing these fibers, including their tracking uncertainty.Validating the developed algorithms using a selected set of relevant MR image data (phantoms, healthy volunteers, patients).Publication of results at scientific conferences and in peer-reviewed scientific journals.