Objective This action aims to optimally prepare three young researchers for the evolving medical imaging world by offering a unique set of targeted interdisciplinary training and research assignments in the areas of anatomy, pathology, imaging techniques, quantitative image analysis and segmentation, Magnetic Resonance (MR) physics and MR image simulation. MR imaging is the major imaging modality for brain and spine anatomy and pathology. A clear trend can be observed from visual to computer-assisted diagnosis by quantification of disease-specific biomarkers, derived from the MR images. The major components in image quantification applications are tissue and organ segmentation and classification. Manual segmentation is too tedious and cumbersome for daily clinical practice and would lead to large inter-user variability. Much research is therefore performed on automatic segmentation techniques. Training, validation and benchmarking of these techniques is currently impeded by the lack of MR image databases with exact reference segmentations.The research will follow an innovative approach to overcome the current barriers for wide uptake of automatic segmentation. By combining mathematical organ models with physical and biological tissue properties and image simulation methods, substantial public image databases will be established providing ample MR images with ground truth (exact) segmentations, by which fast and accurate optimization and validation of image segmentation algorithms will be enabled.Based on sound career development plans, and coached by experienced supervisors a training is offered by leading image analysis research groups from Philips (global leader in medical imaging) and the Eindhoven University of Technology (world-wide recognized authority in education and research on image analysis, esp. on MRI) and supported by researchers from leading clinical centers as UMC Utrecht, TU Munich, Kings College London and the German Center for Neurodegenerative Diseases. Fields of science medical and health sciencesbasic medicineanatomy and morphologynatural sciencescomputer and information sciencesdatabasesmedical and health sciencesbasic medicinepathologyengineering and technologymedical engineeringdiagnostic imaging Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.1. - Fostering new skills by means of excellent initial training of researchers Topic(s) MSCA-ITN-2017 - Innovative Training Networks Call for proposal H2020-MSCA-ITN-2017 See other projects for this call Funding Scheme MSCA-ITN-EID - European Industrial Doctorates Coordinator TECHNISCHE UNIVERSITEIT EINDHOVEN Net EU contribution € 766 122,84 Address GROENE LOPER 3 5612 AE Eindhoven Netherlands See on map Region Zuid-Nederland Noord-Brabant Zuidoost-Noord-Brabant Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 766 122,84 Participants (1) Sort alphabetically Sort by Net EU contribution Expand all Collapse all PHILIPS GMBH Germany Net EU contribution € 0,00 Address RONTGENSTRASSE 22 22335 Hamburg See on map Region Hamburg Hamburg Hamburg Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost No data
