The RUG/UMCG focuses on healthy aging in all priority areas: research, clinical care and education. This study fits excellent in the research lines of the Medical Imaging Center (MIC) and the CardioVascular Center (CVC-GUIDE). The MIC investigates minimally to non-invasive medical imaging techniques and imaging biomarkers, improves existing technologies and optimizes their integrated use. CVC-GUIDE has as central theme to improve care for patients with heart disease and to prolong the heart disease free interval in healthy aging subjects. Within these research programs, there is a wealth of knowledge on imaging and cardiovascular disease at every level, namely clinical, experimental, epidemiological and translational.
The RUG/UMCG focuses on healthy aging in all priority areas: research, clinical care and education. This study fits excellent in the research lines of the Medical Imaging Center (MIC) and the CardioVascular Center (CVC-GUIDE). The MIC investigates minimally to non-invasive medical imaging techniques and imaging biomarkers, improves existing technologies and optimizes their integrated use. CVC-GUIDE has as central theme to improve care for patients with heart disease and to prolong the heart disease free interval in healthy aging subjects. Within these research programs, there is a wealth of knowledge on imaging and cardiovascular disease at every level, namely clinical, experimental, epidemiological and translational.
Siemens Healthineers offers state-of-the-art imaging solutions to visualize the biological processes of life aiming to support early detection, accurate diagnosis and targeted therapy. They continuously focus on innovation striving to improve their product to meet the clinical- and economic challenges that healthcare professionals face. With their new ultra-low-dose CT technique, Siemens Healthineers ambition to minimize dose exposure for patients while still gaining high quality CT images. Their lT solutions provide advanced visualization and analysis tools to interpret the imaging data. As the resolution of images from ultra-low-dose CT is lower than conventional CT images, the development of lT solutions to improve data visualisation and analysis is particularly important.
TeraRecon is the largest independent, vendor neutral medical image viewing solution provider with a focus on advanced image processing innovation. They provide world class advanced visualization 3D post-processing tools, as well as a spectrum of enterprise medical image viewing, diagnostic interpretation, image sharing, interoperability and collaboration solutions. TeraRecon iNtuition and iNteract+ solutions advance the accessibility, performance, clinical functionality and medical imaging workflow throughout many areas of the healthcare ecosystem. TeraRecon vision and recent acquisition demonstrates the future of its technology related to artificial intelligence (AI) and collaboration with research organization as well as expert hospital in specific domain. TeraRecon is building the next generation viewer and the underlying technology based on AI to better diagnose and improve patient care. The technology readiness level (TRL) of TeraRecon’s joint projects that ranges from 3 to 7.
Algomedica is an innovative healthcare company specialized in healthcare improvement algorithms. Their software PixelShine (TRL 7) uses deep learning to clean up noisy images as if taken at high doses. It compares and adjusts every pixel, converting the image to the highest quality, making it shine without the high level of radiation, hence the name “PixelShine”.
COSMONiO® designs cutting-edge computer-vision and machine-learning systems that automate the process of extracting visual information from images even under the most challenging conditions. What sets COSMONiO apart from the competition is the universal nature of its self-learning algorithms that can be trained to perform multiple tasks from single-cell micro-organism analysis to outer space exploration. COSMONiO has engineered NOUSTM (TRL 4), an all-inclusive deep learning system that any user can train through an intuitive interface. Complex pattern-recognition problems in the fields of biology, health, defence, industrial inspection and space exploration can now be solved within minutes.
The focus of Health Technology and Services Research (HTSR) lies in the assessment of use, advantages, and disadvantages, of health technologies from the patients’ and societal perspective. This includes research into the effect of a new technology on clinical and health outcomes, quality and safety of healthcare, delivery of health services, and the associated healthcare costs. HTSR is embedded in MIRA, which is the University of Twente’s Institute for Biomedical Technology and Technical Medicine. This unique scientific path stimulates successful application of fundamental concepts and enables healthcare to rapidly introduce new treatments. MIRA aims to provide ‘Top Technology for Patients’. MIRA has appointed clinical professors who formulate clinical research questions and translate MIRA’s technology to the clinic. Another important mainstay of MIRA’s is entrepreneurship, in order to ensure patients benefit from scientific knowledge and technology.
The Center for Information Technology (CIT) of the University of Groningen provides high quality ICT services for research and higher education to the University of Groningen as well as to other national and international partners. The CIT has 200+ staff, operates a Gigabit network for 10,000+ work places, supports a campus wide wireless network, provides high performance computing facilities, massive data storage and advanced visualisation. The CIT also has a strong department that supports advanced ICT services for research. In particular, this department will be involved in creating and maintaining the B3CARE ICT infrastructure.
The Medical Delta Imaging Institute (MDII) aims to develop innovative imaging-based technologies for diagnostics, prognostics and assessment of treatment, validate how effectively these techniques improve public health, and translate them into commercially viable solutions for clinical practice. MDII and its industrial partners have an internationally leading position in the research and development of both novel acquisition hardware and novel quantitative image analysis methods and software. The associated University Medical Centers conduct several very large and worldwide unique population and clinical imaging studies, which are not only essential to validate new technologies for improved healthcare, but also enable the discovery of novel image based techniques for early detection and improved diagnosis of diseases.
The Biomedical Imaging Group Rotterdam is an initiative of and collaboration between the Departments of Medical Informatics and Radiology of the Erasmus MC - University Medical Center Rotterdam, the Netherlands. Through innovative fundamental and applied research it aims at developing and validating advanced techniques for the processing and analysis of large, complex, and heterogeneous medical and biological image data sets.