In this paper, we introduce holiAtlas, a holistic, multimodal and high-resolution human brain atlas. This atlas covers different levels of details of the human brain anatomy, from the organ to the substructure level, using a new dense labelled protocol generated from the fusion of multiple local protocols at different scales. This atlas has been constructed averaging images and segmentations of 75 healthy subjects from the Human Connectome Project database. Specifically, MR images of T1, T2 and WMn (White Matter nulled) contrasts at 0.125 $mm^{3}$ resolution that were nonlinearly registered and averaged using symmetric group-wise normalisation to construct the atlas. At the finest level, the holiAtlas protocol has 350 different labels derived from 10 different delineation protocols. These labels were grouped at different scales to provide a holistic view of the brain at different levels in a coherent and consistent manner. This multiscale and multimodal atlas can be used for the development of new ultra-high resolution segmentation methods that can potentially leverage the early detection of neurological disorders.

翻译：本文介绍了holiAtlas——一个整体性、多模态、高分辨率的人脑图谱。该图谱通过融合多尺度局部标注协议生成的新型密集标记协议，覆盖了从器官到亚结构层面的人脑解剖学多级细节。该图谱基于人类连接组计划数据库中75名健康受试者的图像与分割结果平均构建而成。具体而言，采用0.125 $mm^{3}$分辨率的T1、T2及WMn（白质抑制）对比MR图像，通过对称群配准归一化进行非线性配准与平均以构建图谱。在最精细层级，holiAtlas协议包含源自10种不同分割协议的350个独立标记。这些标记按不同尺度进行分组，以协调一致的方式提供多层次的脑部整体视图。该多尺度多模态图谱可用于开发新型超高分辨率分割方法，有望为神经系统疾病的早期检测提供支持。