标题： 超高分辨率多模态MRI密集标注的整体大脑图谱 显示英文标题

标题： Ultra-high resolution multimodal MRI dense labelled holistic brain atlas

摘要： 在本文中，我们介绍了holiAtlas，这是一个整体的、多模态的和高分辨率的人类大脑图谱。 该图谱涵盖了人类大脑解剖的不同细节层次，从器官到亚结构层次，使用了一种从不同尺度的多个局部协议融合生成的新密集标记协议。 该图谱是通过平均来自人类连接组计划数据库的75名健康受试者的图像和分割结果构建的。 具体而言，使用对称组间归一化方法对0.125$mm^{3}$分辨率下的T1、T2和WMn（白质 null）对比的MR图像进行非线性配准和平均，以构建图谱。 在最精细的层次上，holiAtlas协议有350个不同的标签，这些标签来源于10种不同的描绘协议。 这些标签在不同尺度上进行了分组，以一致和连贯的方式提供大脑在不同层次的整体视图。 这个多尺度和多模态的图谱可以用于开发新的超高分辨率分割方法，这些方法可能有助于神经系统疾病的早期检测。 显示英文摘要

摘要： 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.