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

Bao, R.; Song, Y.; Bates, S. V.; Weiss, R. J.; Foster, A. N.; Cobos, C. J.; Sotardi, S.; Zhang, Y.; Gollub, R. L.; Grant, P. E.; Ou, Y.

2023-07-03 neuroscience
10.1101/2023.06.30.546841 bioRxiv
Show 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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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.