Ultra-high resolution multimodal MRI densely labelled holistic structural brain atlas

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 mul...

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Bibliographic Details
Authors: Manjón, JV, Morell-Ortega, S, Ruiz-Perez, M, Mansencal, B, Le Bot, E, Gadea, M, Lanuza, E, Catheline, G, Tourdias, T, Planche, V, Giraud, R, Rivière, D, Mangin, JF, Labra-Avila, N, Vivo-Hernando, R, Rubio, G, Aparici-Robles, F, de la Iglesia-Vaya, M, Coupé, P
Format: article
Status:Published version
Publication Date:2026
Country:España
Institution:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
Repository:r-FISABIO. Repositorio Institucional de Producción Científica
OAI Identifier:oai:dnet:r-fisabio___::4faf52940edf0784181df8f8ab9fed3a
Online Access:https://fisabio.portalinvestigacion.com/publicaciones/21163
Access Level:Open access
Keyword:Atlas
Multimodal
Holistic
Segmentation
Brain volume analysis
MRI
Description
Summary: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 mm(3) 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.

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