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用于缺氧缺血性脑病的波士顿新生儿脑损伤数据集(BONBID-HIE):第一部分。MRI与手动病变标注。

BOston Neonatal Brain Injury Dataset for Hypoxic Ischemic Encephalopathy (BONBID-HIE): Part I. MRI and Manual Lesion Annotation.

作者信息

Bao Rina, Song Ya'nan, Bates Sara V, Weiss Rebecca J, Foster Anna N, Cobos Camilo Jaimes, Sotardi Susan, Zhang Yue, Gollub Randy L, Grant P Ellen, Ou Yangming

机构信息

Boston Children's Hospital, Boston, MA, USA.

Harvard Medical School, Boston, MA, USA.

出版信息

bioRxiv. 2023 Jul 3:2023.06.30.546841. doi: 10.1101/2023.06.30.546841.

Abstract

Hypoxic ischemic encephalopathy (HIE) is a brain injury that occurs in 1 ~ 51000 term neonates. Accurate identification and segmentation of HIE-related lesions in neonatal brain magnetic resonance images (MRIs) is the first step toward predicting prognosis, identifying high-risk patients, and evaluating treatment effects. It will lead to a more accurate estimation of prognosis, a better understanding of neurological symptoms, and a timely prediction of response to therapy. 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 brain volume). 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.

摘要

缺氧缺血性脑病(HIE)是一种发生在1/51000足月儿中的脑损伤。在新生儿脑磁共振成像(MRI)中准确识别和分割与HIE相关的病变是预测预后、识别高危患者和评估治疗效果的第一步。这将有助于更准确地估计预后,更好地理解神经症状,并及时预测对治疗的反应。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及病变的专家注释。脑MRI中与HIE相关的病变通常是弥漫性的(即多灶性)且较小(我们数据中超过一半的患者病变占脑体积不到1%)。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)明显不同,且更具挑战性。我们希望这个数据集能够推动针对HIE及一般小弥漫性病变的MRI病变分割方法的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a204/10350009/07e73fe2ed68/nihpp-2023.06.30.546841v1-f0001.jpg

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