A5102942552- Advanced MRI Techniques and Applications
- Cardiac Imaging and Diagnostics
- Educational Games and Gamification
- Cardiovascular Function and Risk Factors
- Atomic and Subatomic Physics Research
- Digital Games and Media
- Cardiac Valve Diseases and Treatments
- Online Learning and Analytics
- Open Education and E-Learning
- Teaching and Learning Programming
- Assistive Technology in Communication and Mobility
- Physiological and biochemical adaptations
- Intelligent Tutoring Systems and Adaptive Learning
- Tactile and Sensory Interactions
- Coronary Interventions and Diagnostics
- Viral Infections and Immunology Research
- Artificial Intelligence in Games
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Meat and Animal Product Quality
- Nuclear Physics and Applications
- Digital Accessibility for Disabilities
Charité - Universitätsmedizin Berlin
2023-2024
Humboldt-Universität zu Berlin
2023-2024
Freie Universität Berlin
2023-2024
German Centre for Cardiovascular Research
2023-2024
Deutsches Herzzentrum der Charité
2019-2024
Berlin Institute of Health at Charité - Universitätsmedizin Berlin
2023
Berlin Heart (Germany)
2019
University of Chicago
2019
University of Illinois Chicago
2019
University of the People
2016
This article concerns the design of self–contained digital games for life–long learning context. Although potential teaching and is undisputed, two main barriers hamper its wide introduction. First, such tends to be complex, laborious costly. Second, requirements a sensible game do not necessarily coincide with effective learning. To solve this problem, we propose methodology by using patterns matching these corresponding functions, which expected reduce effort help determining right balance...
Time-resolved, three-dimensional phase-contrast magnetic resonance imaging (4D flow MRI) plays an important role in assessing cardiovascular diseases. However, the manual or semi-automatic segmentation of aortic vessel boundaries 4D data introduces variability and limits reproducibility hemodynamics visualization quantitative flow-related parameter computation. This paper explores potential deep learning to improve MRI by developing models for automatic analyzes impact training on...
Abstract 4D-flow MRI is a promising technique for assessing vessel hemodynamics. However, its utilization currently limited by the lack of reference values, particularly pulmonary vessels. In this work, we have analysed flow and velocity in trunk (PT), left right arteries (LPA RPA, respectively) Landrace pigs at both rest stress through software MEVISFlow. Nine healthy were acutely instrumented closed-chest transported to CMR facility evaluation. After measurements, dobutamine was...
Background Previous research has suggested a heightened risk of acute myocarditis after COVID-19 infection. However, it is not clear from existing work whether this higher than would be expected comparable viral respiratory infections. This information important to guide assessments and clinical practice. Methods A retrospective cohort study US administrative health claims was conducted compare the rates with that influenza infection describe use diagnostic assessments. Patients either...
Magnetic resonance imaging (MRI) is a powerful modality for diagnostic cardiology and research. This method provides combined information of different tissue characteristics, such as the visualisation vascular tree cardiac anatomy function, well measurements blood flow in vessels, ventricular wall motion, myocardial perfusion viability.
Aims Cardiac magnetic resonance (CMR) T1 relaxation time mapping is an established technique primarily used to identify diffuse interstitial fibrosis and oedema. The myocardial extracellular volume (ECV) can be calculated from pre- post-contrast times a reproducible parametric index of the proportion occupied by non-cardiomyocyte components in tissue. conventional calculation ECV requires blood sampling measure haematocrit (HCT). Given high variability HCT, collection recommended within 24 h...