BONBID-HIE 2023: Lesion Segmentation Challenge in BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy
Hypoxic Ischemic Encephalopathy (HIE) represents a brain dysfunction, affecting approximately 1 to 5 per 1000 full-term neonates. The precise delineation and segmentation of HIE-related lesions in neonatal brain Magnetic Resonance Images (MRI) are pivotal in advancing outcome predictions, identifying patients at high risk, elucidating neurological manifestations, and assessing treatment efficacies. Despite its importance, the development of algorithms for segmenting HIE lesions from MRI volumes has been impeded by data scarcity. Addressing this critical gap, we organized the first BONBID-HIE challenge with diffusion MRI data (Apparent Diffusion Coefficient (ADC) maps) for HIE lesion segmentation, in conjunction with the MICCAI 2023. Totally 14 algorithms were submitted, employing a gamut of cutting-edge automatic machine-learning-based segmentation algorithms. Our comprehensive analysis of HIE lesion segmentation and submitted algorithms facilitates an in-depth evaluation of the current technological zenith, outlines directions for future advancements, and highlights persistent hurdles. To foster ongoing research and benchmarking, the annotated HIE dataset, developed algorithm dockers, and unified evaluation codes are accessible through a dedicated online platform (https://bonbid-hie2023.grand-challenge.org).
Authors
- Imad Eddine Toubal (ORCID: https://orcid.org/0000-0003-1754-0823)
- Mohamed Almansour
- Marek Wodziński (ORCID: https://orcid.org/0000-0002-8076-6246)
- David Ellis (ORCID: https://orcid.org/0000-0002-3718-6836)
- Mai‐Lan Ho (ORCID: https://orcid.org/0000-0002-9455-1350)
- Sovesh Mohapatra (ORCID: https://orcid.org/0000-0002-5371-7596)
- Gözde Ünal (ORCID: https://orcid.org/0000-0001-5942-8966)
- Kannappan Palaniappan (ORCID: https://orcid.org/0000-0003-2663-1380)
- Gottfried Schlaug (ORCID: https://orcid.org/0000-0002-8637-7356)
- Gani Rahmon (ORCID: https://orcid.org/0000-0002-4961-8229)
- Yanan Song (ORCID: https://orcid.org/0000-0003-0721-1145)
- Rutvi Vyas (ORCID: https://orcid.org/0000-0001-7177-0721)
- Yangming Ou (ORCID: https://orcid.org/0000-0002-7726-6208)
- Henning Müller (ORCID: https://orcid.org/0000-0001-6800-9878)
- Merve Aydın (ORCID: https://orcid.org/0000-0002-1522-6083)
- P. Ellen Grant (ORCID: https://orcid.org/0000-0003-1005-4013)
- Kumaradevan Punithakumar
- Michele R. Aizenberg (ORCID: https://orcid.org/0000-0001-6689-8907)
- Sara V. Bates (ORCID: https://orcid.org/0000-0002-2390-813X)
- Anna N. Foster (ORCID: https://orcid.org/0000-0002-1838-7237)
- Taci Kucukpinar
- Rina Bao (ORCID: https://orcid.org/0000-0003-2367-2590)
- Yun Peng (ORCID: https://orcid.org/0000-0002-0872-4025)
- Elham Soltani Kazemi
- Nazanin Tahmasebi
- Chiranjeewee Prasad Koirala
- Tian Song (ORCID: https://orcid.org/0000-0003-2019-4458)
- Randy Hirschtick
- Ankush Kesri
- Dean Ninalga
- Elvin Abdinli
Institutions
- University of Geneva (CH)
- Boston Children's Hospital (US)
- Philips (Finland) (FI)
- Harvard University (US)
- Nanchang University (CN)
- University of Alberta (CA)
- HES-SO University of Applied Sciences and Arts Western Switzerland (CH)
- University of Toronto (CA)
- University of Massachusetts Amherst (US)
- Philips (China) (CN)
- Massachusetts General Hospital (US)
- Second Affiliated Hospital of Nanchang University (CN)
- Istanbul Technical University (TR)
- University of Nebraska Medical Center (US)
- Technical University of Munich (DE)
- University of Missouri (US)
Publication Details
- Journal
- IEEE Transactions on Medical Imaging
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/tmi.2025.3638977
- Primary Topic
- Neonatal and fetal brain pathology
- Type
- article
- Field-Weighted Citation Impact
- 0.00