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

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 evalu...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10350009/
https://www.ncbi.nlm.nih.gov/pubmed/37461570
http://dx.doi.org/10.1101/2023.06.30.546841
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author 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
author_facet 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
author_sort Bao, Rina
collection PubMed
description 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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spelling pubmed-103500092023-07-17 BOston Neonatal Brain Injury Dataset for Hypoxic Ischemic Encephalopathy (BONBID-HIE): Part I. MRI and Manual Lesion Annotation 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 bioRxiv Article 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. Cold Spring Harbor Laboratory 2023-07-03 /pmc/articles/PMC10350009/ /pubmed/37461570 http://dx.doi.org/10.1101/2023.06.30.546841 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
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
BOston Neonatal Brain Injury Dataset for Hypoxic Ischemic Encephalopathy (BONBID-HIE): Part I. MRI and Manual Lesion Annotation
title BOston Neonatal Brain Injury Dataset for Hypoxic Ischemic Encephalopathy (BONBID-HIE): Part I. MRI and Manual Lesion Annotation
title_full BOston Neonatal Brain Injury Dataset for Hypoxic Ischemic Encephalopathy (BONBID-HIE): Part I. MRI and Manual Lesion Annotation
title_fullStr BOston Neonatal Brain Injury Dataset for Hypoxic Ischemic Encephalopathy (BONBID-HIE): Part I. MRI and Manual Lesion Annotation
title_full_unstemmed BOston Neonatal Brain Injury Dataset for Hypoxic Ischemic Encephalopathy (BONBID-HIE): Part I. MRI and Manual Lesion Annotation
title_short BOston Neonatal Brain Injury Dataset for Hypoxic Ischemic Encephalopathy (BONBID-HIE): Part I. MRI and Manual Lesion Annotation
title_sort boston neonatal brain injury dataset for hypoxic ischemic encephalopathy (bonbid-hie): part i. mri and manual lesion annotation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10350009/
https://www.ncbi.nlm.nih.gov/pubmed/37461570
http://dx.doi.org/10.1101/2023.06.30.546841
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