Tractography: Adaptive Digital Twin
Tractography is a technique which visually represents the path of nerve fibers and that is based on diffusion-weighted magnetic resonance imaging and computer-based tensor or spherical harmonics imaging.
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Tractography is a technique which visually represents the path of nerve fibers and that is based on diffusion-weighted magnetic resonance imaging and computer-based tensor or spherical harmonics imaging. Tractography is being used for surgical planning. Furthermore, we investigate different tractography algorithms and the impact of central nervous system diseases on white matter.
Adaptive Digital Twin
The Adaptive Digital Twin embodies the physical healthy subject or patient. We develop a model, which provides virtual analysis and allows for simulation via the acquired functional and structural data. The combination of these various data sources enables the evaluation and the modelling of exemplary anatomical changes, as well as their impact on the central nervous system’s structural anatomy, network and functionality. It uses advanced tractography features such as distinct voxel-level models and tractography algorithms or fMRI informed maps and regions of interests. Furthermore, state of the art scripts within the field of data handling, network analysis, simulation and automated segmentation form the core of the model. This is an interdisciplinary research project situated within Matters of Activity, Cluster of Excellency, Humboldt-Universität of Berlin.