Ultra-high resolution multimodal MRI densely labelled holistic structural brain atlas
Year: 2026
Type: article
Abstract: In this paper, we introduce a novel structural holistic Atlas (holiAtlas) of human brain anatomy based on multimodal and high-resolution MRI that covers several anatomical levels from the organ level to the substructure level, using a new protocol for dense labelling generated from the fusion of multiple local protocols at different scales. This atlas was constructed by averaging images and segmentations of 75 healthy subjects from the Human Connectome Project database. Specifically, 3T MR images of T1, T2 and WMn (White Matter nulled) contrasts at 0.125 mm3 resolution were selected for this project. The images of these 75 subjects were nonlinearly registered and averaged using symmetric group-wise normalisation to construct the atlas. At the finest level, the proposed atlas has 350 different labels derived from 7 distinct delineation protocols. These labels were grouped at multiple scales, offering a coherent and consistent holistic representation of the brain across different levels of detail. This multiscale and multimodal atlas can be used to develop new ultra-high-resolution segmentation methods, potentially improving the early detection of neurological disorders. We make it publicly available to the scientific community.
Source: Scientific Reports
Authors: José V. Manjón, Sergio Morell-Ortega, Marina Ruiz-Perez, Boris Mansencal, Edern Le Bot, Marien Gadea, Enrique Lanuza, Gwenaelle Catheline, Thomas Tourdias, Vincent Planche, Remi Giraud, Denis Rivière, Jean-Francois Mangin, Nicole Labra-Avila, Roberto Vivo-Hernando, Gregorio Rubio, Fernando Aparici-Robles, Maria de la Iglesia-Vaya, Pierrick Coupé
Institutions: Universitat Politècnica de València, Centre National de la Recherche Scientifique, Université de Bordeaux, Laboratoire Bordelais de Recherche en Informatique, Institut Polytechnique de Bordeaux, Universitat de València, École Pratique des Hautes Études, Institut de Neurosciences Cognitives et Intégratives d’Aquitaine, Centre Max Weber, Centre Hospitalier Universitaire de Bordeaux, Institut des Maladies Neurodégénératives, Laboratoire de l'Intégration du Matériau au Système, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, CEA Paris-Saclay, Building large instruments for neuroimaging: from population imaging to ultra-high magnetic fields, Hospital Universitari i Politècnic La Fe, Centro de Investigación Biomédica en Red de Salud Mental, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana, Centro de Investigacion Principe Felipe
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,690
Awards: G1190173965, G1984342976, Holistic Brain Analysis, G4656594441, G5504604151, Using the variability of the human cortical folding pattern to benchmark unsupervised learning, Deep Learning for Volumetric Brain Analysis: Towards BigData in Neuroscience, Vaincre les maladies vasculaires cérébrales par un nouveau paradigme de prévention de précision et d’innovation thérapeutique
OpenAlex ID: W7129705460