Improving Neuropathological Reconstruction Fidelity via AI Slice Imputation - UW Dataset

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Overview This record contains one of the datasets used in the manuscript "ImprovingNeuropathological Reconstruction Fidelity via AI Slice Imputation"(https://arxiv.org/abs/2602.00669). It comprises 3D reconstructions ofpost-mortem brain dissection photographs from the University of Washington(UW) cohort, organised in BIDS layout, together with the isotropic volumesderived from them. Contents and Format 28 specimens, each at three coronal slab spacings: 4 mm as acquired, and8 mm and 12 mm obtained by subsampling the 4 mm photographs by factors of2 and 3 respectively. The dataset is organised following the BIDS specification. Reconstructions with our proposed imputation method, segmentation and surface reconstructions are located in the /derivatives folder. All image files are NIfTI-1 (.nii.gz) Related Links Source photographs: previously released with Gazula et al. (2024), eLife 12,RP91398, doi:10.7554/eLife.91398 [accession and URL]. This recordredistributes that material in BIDS layout and adds the derived isotropicvolumes. Please cite both the original release and this record. Analysis code: https://github.com/marinacrsp/photo-recon Method implementation, distributed with FreeSurfer:https://surfer.nmr.mgh.harvard.edu/fswiki/mri_3d_photo_recon

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.