The Anatomical Tracings of Lesions after Stroke (ATLAS) Dataset - Release 1.2, 2018

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 1.2 is an open-source data collection consisting a total of 304 T1-weighted MRIs (Magnetic Resonance Imaging) with manually segmented diverse lesions and metadata. 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 11 cohorts worldwide, 304 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 MRIcron, an open-source tool for brain imaging visualization and defining volumes of interest. A minimum of one lesion mask was identified for each individual MRI. If additional, separate lesions were identified, they were traced as separate masks. A separate tracer performed quality control on each lesion mask. This included assessing the accuracy of the lesion segmentations, revising the lesion mask if needed, and categorizing the lesions to generate additional data such as lesion location. In addition, an expert neuroradiologist reviewed all lesions to provide additional qualitative descriptions of the type of stroke, vascular territory, and intensity of white matter disease. This dataset is provided in both native subject space and normalized to a standard template (the MNI-152 template).

为获取本数据集，敬请点击上方之受限数据按钮。用户需下载并完成数据使用协议，随后将其发送至[e-mail]邮箱。具体操作指南详见图表。本《卒中后病灶解剖追踪》（Anatomical Tracings of Lesions After Stroke，简称ATLAS）数据集，版本1.2，为一开源数据集，包含共计304张T1加权磁共振成像（Magnetic Resonance Imaging，简称MRI）图像，图像中包含人工分割的多种病灶及其元数据。ATLAS旨在向研究界提供一套标准化的训练与测试数据集，用于T1加权MRI图像上的病灶分割算法。该数据集由全球11个队列的研究小组，在ENIGMA卒中恢复工作组联盟的协作下收集，共收集304张MRI图像。这些图像为卒中后个体的T1加权解剖MRI图像。对于每一张MRI图像，均识别出脑部病灶，并使用MRIcron这一开源的脑成像可视化工具和感兴趣区域定义工具，在个体的原始空间中手动绘制每个大脑的病灶掩码。每张MRI图像至少识别出一个病灶掩码。若存在额外的独立病灶，则将它们分别绘制为独立的掩码。另外一名追踪者对每个病灶掩码进行质量控制，包括评估病灶分割的准确性，如需则修改病灶掩码，并对病灶进行分类以生成额外的数据，如病灶位置等。此外，一名资深神经放射学家对所有病灶进行审查，以提供关于卒中类型、血管区域以及白质病变强度的额外定性描述。该数据集以原始受试者空间和归一化至标准模板（MNI-152模板）两种形式提供。