Registered histology, MRI, and manual annotations of over 300 brain regions in 5 human hemispheres (data from ERC Starting Grant 677697 "BUNGEE-TOOLS")

DOI

Summary:

This repository includes data related to the ERC Starting Grant project 677697: "Building Next-Generation Computational Tools for High Resolution Neuroimaging Studies" (BUNGEE-TOOLS). It includes: (a) Dense histological sections from five human hemispheres with manual delineations of >300 brain regions; (b) Corresponding ex vivo MRI scans; (c) Dissection photographs; (d) A spatially aligned version of the dataset; (e) A probabilistic atlas built from the hemispheres; and (f) Code to apply the atlas to automated segmentation of in vivo MRI scans.

More detailed description on what this dataset includes:

Data files and Python code for Bayesian segmentation of human brain MRI based on a next-generation, high-resolution histological atlas: "Next-Generation histological atlas for high-resolution segmentation of human brain MRI" A Casamitjana et al., in preparation.  This repository contains a set of zip files, each corresponding to one directory. Once decompressed, each directory has a readme.txt file explaining its contents.   The list of zip files / compressed directories is:  

  • 3dAtlas.zip: nifti files with summary imaging volumes of the probabilistic atlas.  

  • BlockFacePhotoBlocks.zip: nifti files with the blackface photographs acquired during   tissue sectioning, reconstructed into 3D volumes (in RGB).   

  • Histology.zip: jpg files with the LFB and H&E stained sections.  

  • HistologySegmentations.zip: 2D nifti files with the segmentations of the histological sections.  

  • MRI.zip: ex vivo T2-weighted MRI scans and corresponding FreeSurfer processing files  

  • SegmentationCode.zip: contains the the Python code and data files that we used to segment   brain MRI scans and obtain the results presented in the article (for reproducibility purposes).   Note that it requires an installation of FreeSurfer. Also, note that the code is also maintained    in FreeSurfer (but may not produce exactly the same results):   https://surfer.nmr.mgh.harvard.edu/fswiki/HistoAtlasSegmentation  

  • WholeHemispherePhotos.zip: photographs of the specimens prior to dissection  

  • WholeSlicePhotos.zip: photographs of the tissue slabs prior to blocking.   

We also note that the registered images for the five cases can be found in GitHub:  https://github.com/UCL/BrainAtlas-P41-16  https://github.com/UCL/BrainAtlas-P57-16  https://github.com/UCL/BrainAtlas-P58-16  https://github.com/UCL/BrainAtlas-P85-18  https://github.com/UCL/BrainAtlas-EX9-19   These registered images can be interactively explored with the following web interface:  https://github-pages.ucl.ac.uk/BrainAtlas/#/atlas

Identifier
DOI https://doi.org/10.5522/04/24243835.v1
Related Identifier https://ndownloader.figshare.com/files/42561607
Related Identifier https://ndownloader.figshare.com/files/42561610
Related Identifier https://ndownloader.figshare.com/files/42561613
Related Identifier https://ndownloader.figshare.com/files/42561616
Related Identifier https://ndownloader.figshare.com/files/42561619
Related Identifier https://ndownloader.figshare.com/files/42561622
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Related Identifier https://ndownloader.figshare.com/files/42561628
Related Identifier https://ndownloader.figshare.com/files/42561631
Metadata Access https://api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:figshare.com:article/24243835
Provenance
Creator Iglesias Gonzalez, Eugenio; Casamitjana, Adria; Atzeni, Alessia; Billot, Benjamin; Thomas, David; Blackburn, Emily; Hughes, James; Althonayan, Juri; Peter, Loic; Mancini, Matteo; Robinson, Nellie; Schmidt, Peter; Crampsie, Shauna
Publisher University College London UCL
Contributor Figshare
Publication Year 2023
Rights https://creativecommons.org/publicdomain/zero/1.0/
OpenAccess true
Contact researchdatarepository(at)ucl.ac.uk
Representation
Language English
Resource Type Dataset
Discipline Life Sciences; Medicine; Neurosciences