MRIGuessr is an educational game for practicing MRI-based brain localization through limited evidence, three-dimensional guessing, and anatomical feedback. It is an early prototype built for learning, not a clinical tool.
The T1-weighted brain volume shown in the slice viewer — a healthy population average, not a patient scan.
Reference: Fonov VS, Evans AC, McKinstry RC, Almli CR, Collins DL (2009). Unbiased nonlinear average age-appropriate brain templates. NeuroImage 47(S1):S102.
License: Permissive MIT/BSD-style (© McConnell Brain Imaging Centre, MNI, McGill). Distributed via TemplateFlow.
The interactive 3D brain surface used for placing guesses (a brain-mask hull in MNI space).
Reference: Fonov VS et al. (2009), NeuroImage 47(S1):S102. Derived from the ICBM152 non-linear symmetric 2009 brain-mask surface.
License: Permissive MIT/BSD-style (© 1993–2004 Louis Collins, McConnell Brain Imaging Centre, MNI, McGill).
The Automated Anatomical Labelling atlas (116 regions) used to name the structure at each location.
Reference: Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N, Mazoyer B, Joliot M (2002). Automated anatomical labeling of activations in SPM… NeuroImage 15(1):273–289.
License: GNU General Public License (GIN, Bordeaux). This NIfTI (MNI152NLin6Asym, 2 mm) obtained via neurodata neuroparc (Apache-2.0).
Built with Next.js and React. 3D rendering uses Three.js with React Three Fiber and drei; MRI volumes are rendered with Niivue and parsed with nifti-reader-js. Each library is used under its own open-source license.