Platform for Human Imaging (PHI)

The PHI includes structural, functional, and diffusion MRI, PET, cognitive assessments and clinical records. It offers secure, standardised tools for collecting and analysing medical brain data across centres. PHI supports large-scale studies and international collaborations, making it easier for scientists to compare results, improve diagnostics and accelerate clinical research. Among the first major unique datasets collected for the PHI will be the 5M Connectome, which combines five advanced brain imaging techniques and data of hundreds of healthy volunteers of different ages. As a detailed, multiscale map of the healthy brain, this data will serve as a powerful baseline for clinical research.

Launch online

Other Tools

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siibra-explorer

siibra-explorer is built around an interactive 3D view of the brain displaying a unique selection of detailed templates and parcellation maps for the human, macaque, rat or mouse brain, including BigBrain as a microscopic resolution human brain model at its full resolution of 20 micrometres.

Collaboratory

The EBRAINS Collaboratory offers researchers and developers a secure environment to work with others. You control the level of collaboration by sharing your projects with specific users, teams or all of the Internet. Many researchers are sharing their work already; several services, tools, datasets and other resources are publicly available, and many more are available for registered users.

MeshView

MeshView is a web application for real-time 3D display of surface mesh data representing structural parcellations from volumetric atlases, such as the Waxholm Space Atlas of the Sprague Dawley Rat Brain. MeshView is available as an EBRAINS community app, accessible via a collab (further info: https://wiki.ebrains.eu/bin/view/Collabs/image-registration-and-analysis-demo/) Key features: orbiting view with toggleable opaque/transparent/hidden parcellation meshes rendering user defined cut surface as if meshes were solid objects rendering point-clouds (simple type-in, or loaded from a JSON format) coordinate system is compatible with QuickNII (https://www.nitrc.org/projects/quicknii)

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