医学
磁共振成像
病变
脑病
缺氧缺血性脑病
磁共振弥散成像
分割
放射科
病理
内科学
计算机科学
人工智能
作者
Rina Bao,Yanan Song,Sara V. Bates,Rebecca J. Weiss,Anna N. Foster,Camilo Jaimes Cobos,Susan Sotardi,Yue Zhang,Randy L. Gollub,P. Ellen Grant,Yangming Ou
标识
DOI:10.1101/2023.06.30.546841
摘要
ABSTRACT 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 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.
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