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

## TL;DR

This paper introduces a high-resolution brain atlas using MRI data from 75 subjects, offering detailed anatomical labels for improved neurological disorder detection.

## Contribution

The novel holiAtlas provides a multiscale, multimodal, ultra-high-resolution brain atlas with 350 labels from multiple protocols.

## Key findings

- The atlas was built using 0.125 mm3 resolution T1, T2, and WMn MRI data from 75 healthy subjects.
- It includes 350 labels grouped at multiple scales for a holistic brain representation.
- The atlas is publicly available to support new segmentation methods and early neurological disorder detection.

## 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.