Royal Philips Electronics is a world-wide company with a turnover of €22.3 billion and 120.000 employees improving people’s lives through meaningful innovations. The organisation focuses on three sectors: Healthcare, Consumer Lifestyle and Lighting. The healthcare sector is among the top three players in imaging systems, and market leader in cardiac care, acute care, home healthcare as well as in other areas.
The Global Research Organisation plays an important role in innovation and produces more than half of the many patents that Philips files. R&D activities of Philips Research have led to the publishing of thousands of technical and scientific papers. In terms of publications, Philips ranks 4th among Europe’s most important and actively publishing research institutions. In Europe 4 labs and employ about 1250 people.
The German Philips Research Laboratory (Philips Research) is based in Hamburg and counts about 100 employees, focused in the healthcare area. Major activities cover the areas of image acquisition and reconstruction (MR/CT/XRay), including the development of novel quantitative MR imaging. Its image processing activities focus on all major modalities (CT/MR/US/Xray/NM) and include the development of new applications for diagnosis and treatment in neurology, oncology and cardiology. The Research Lab has a long history in modelling organs and diseases in the context of the Virtual Physiological Human. The latest relevant research projects are ContraCancrum and EUHeart..
Contributions to the project
Philips Research has actively worked on quantitative imaging, analysis of brain scans as well as modelling organs for many years. The Research Lab will bring in experience and knowledge in model-based segmentation. It will enable the identification of multi-modal and multi-sequence image-based measures that contribute to an image-based evolving model of the brain, which may be used for the individual prediction, differential diagnosis, and progress assessment of dementia. Besides image analysis, Philips Technologie GmbH Innovative Technologies will bring in capabilities on image acquisition in order to quantify and assess a novel MRI approach that has the potential to identify the early on-set of Alzheimer’s Disease using non-invasive imaging