Bao Rina, Song Ya'nan, Bates Sara V, Weiss Rebecca J, Foster Anna N, Jaimes Camilo, Sotardi Susan, Zhang Yue, Hirschtick Randy L, Grant P Ellen, Ou Yangming
Boston Children's Hospital, Boston, MA, USA.
Harvard Medical School, Boston, MA, USA.
Sci Data. 2025 Jan 11;12(1):53. doi: 10.1038/s41597-024-03986-7.
Hypoxic ischemic encephalopathy (HIE) is a brain injury that occurs in 1 ~ 5/1000 term neonates. Accurate identification and segmentation of HIE-related lesions in neonatal brain magnetic resonance images (MRIs) is the first step toward identifying high-risk patients, understanding neurological symptoms, evaluating treatment effects, and predicting outcomes. We release the first public dataset containing neonatal brain diffusion MRI and expert annotation of lesions from 133 patients diagnosed with HIE. HIE-related lesions in brain MRI are often diffuse (i.e., multi-focal), and small (over half the patients in our data having lesions occupying <1% of the brain volume (including ventricles)). Segmentation for HIE MRI data is remarkably different from, and arguably more challenging than, other segmentation tasks such as brain tumors with focal and relatively large lesions. We hope that this dataset can help fuel the development of MRI lesion segmentation methods for HIE and small diffuse lesions in general.
缺氧缺血性脑病(HIE)是一种发生于1000名足月儿中1至5例的脑损伤。在新生儿脑磁共振成像(MRI)中准确识别和分割与HIE相关的病变,是识别高危患者、理解神经症状、评估治疗效果以及预测预后的第一步。我们发布了首个公开数据集,其中包含133例被诊断为HIE患者的新生儿脑扩散MRI及病变的专家标注。脑MRI中与HIE相关的病变通常是弥漫性的(即多灶性的)且较小(我们数据中超过半数的患者其病变占据的脑体积<1%(包括脑室))。HIE MRI数据的分割与其他分割任务(如具有局灶性且相对较大病变的脑肿瘤)显著不同,并且可以说更具挑战性。我们希望这个数据集能够推动针对HIE及一般小的弥漫性病变的MRI病变分割方法的发展。