The Anatomical Tracings of Lesions after Stroke (ATLAS) Dataset - Release 2.0, 2021

To access this data collection, please click on the Restricted Data button above. You will need to download and complete the data use agreement and then email it to [e-mail]. The instructions are in the form. The Anatomical Tracings of Lesions After Stroke (ATLAS) Dataset - Release 2.0 is an open-source data collection consisting a total of 955 T1-weighted MRIs (Magnetic Resonance Imaging) with manually segmented diverse lesions and metadata. ATLAS v2.0 has been split into a public release of 655 T1w MRIs and lesion masks and a hidden test dataset of 300 T1w MRIs. For the hidden dataset, only the T1s MRIs are available. The accompanying manually segmented lesion masks will be made available only for testing algorithm performance in lesion segmentation challenges and competitions. The goal of ATLAS is to provide the research community with a standardized training and testing dataset for lesion segmentation algorithms on T1-weighted MRIs. From 33 cohorts worldwide, 955 MRI images were collected from research groups in the ENIGMA Stroke Recovery Working Group consortium. Images consisted of T1-weighted anatomical MRIs of individuals after stroke. For each MRI, brain lesions were identified and masks were manually drawn on each individual brain in native space using ITK-SNAP (version 3.8.0). After tracing, researchers reviewed and edited lesion masks as necessary using a standardized quality control protocol. In a subset of the data, lesion masks were received from the originating site and edited and checked for quality by the team. All team members received lesion-tracing training and followed a standard operating protocol for tracing lesions to ensure inter-rater reliability on all manually traced masks. All lesion masks were checked twice for quality by trained team members. During the quality control process, researchers ensured that the boundaries of the lesion segmentation were accurate and that all identifiable lesions in the brain were traced. All subject files have undergone a lesion tracing and preprocessing pipeline and are named and stored in accordance with the Brain Imaging Data Structure (BIDS) This dataset is provided in both native subject space and normalized to a standard template (the MNI-152 template).

为获取此数据集，请点击上方之“受限数据”按钮。您需下载并完成数据使用协议，随后将其发送至[e-mail]。具体操作指南以表格形式呈现。

《中风后病灶解剖追踪（ATLAS）数据集》第二版（ATLAS v2.0）是一项开源数据集，包含共计955张经过人工分割的多样化病灶的T1加权磁共振成像（MRI）及其元数据。ATLAS v2.0已被划分为公开发布的655张T1w MRI和病灶掩膜，以及300张T1w MRI的隐藏测试数据集。对于隐藏数据集，仅提供T1s MRI。伴随的人工分割病灶掩膜将仅用于测试算法在病灶分割挑战和竞赛中的性能。ATLAS的旨在为研究界提供一套标准化的训练和测试数据集，以用于T1加权MRI上的病灶分割算法。

来自全球33个队列的研究小组，通过ENIGMA中风恢复工作组联盟收集了955张MRI图像。图像包括中风后个体的T1加权解剖MRI。对于每张MRI，均通过ITK-SNAP（版本3.8.0）在原始空间中人工识别大脑病灶并绘制掩膜。在追踪后，研究人员根据标准化质量控制协议对病灶掩膜进行审查和编辑。在数据子集中，来自原始地点的病灶掩膜由团队进行编辑和质量检查。所有团队成员均接受了病灶追踪培训，并遵循标准操作流程以追踪病灶，确保所有人工追踪掩膜的一致性。所有病灶掩膜均由受过培训的团队成员进行了两次质量检查。在质量控制过程中，研究人员确保病灶分割的边界准确无误，并追踪了大脑中所有可识别的病灶。所有主题文件均经过病灶追踪和预处理流程，并按照大脑成像数据结构（BIDS）进行命名和存储。本数据集同时提供原始主题空间和标准化模板（MNI-152模板）的版本。