多中心胎儿脑组织标注 (FeTA) 挑战赛 2022 结果
图像与视频处理
2024-11-05 v1
摘要
分割是分析发育中的人类胎儿脑的关键步骤。过去几年自动分割方法取得了巨大进步，胎儿脑组织标注 (FeTA) 挑战赛 2021 帮助建立了胎儿脑分割的卓越标准。然而，FeTA 2021 是一项单中心研究，算法在不同成像中心之间的泛化性仍未解决，限制了现实世界的临床适用性。多中心 FeTA 挑战赛 2022 专注于提高胎儿脑分割算法在磁共振成像 (MRI) 中的泛化性。在 FeTA 2022 中，训练数据集包含来自两个成像中心的图像和相应的手动标注多类标签，测试数据包含来自这两个成像中心以及另外两个未见中心的图像。来自不同中心的数据在许多方面存在差异，包括使用的扫描仪、成像参数和应用胎儿脑超分辨率算法。16 支队伍参加了挑战赛，评估了 17 种算法。在此，提供了挑战赛结果的详细概述和分析，重点关注提交作品的泛化性。无论是在域内还是域外，白质和脑室的分割精度最高，而最具挑战性的结构仍然是由于解剖复杂性所致的大脑皮层。FeTA 挑战赛 2022 成功评估并推进了 MRI 多类胎儿脑组织分割算法的泛化性，并继续为新算法提供基准。由此产生的新方法有助于改善子宫内脑发育的分析。
引用
@article{arxiv.2402.09463,
title = {Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results},
author = {Kelly Payette and Céline Steger and Roxane Licandro and Priscille de Dumast and Hongwei Bran Li and Matthew Barkovich and Liu Li and Maik Dannecker and Chen Chen and Cheng Ouyang and Niccolò McConnell and Alina Miron and Yongmin Li and Alena Uus and Irina Grigorescu and Paula Ramirez Gilliland and Md Mahfuzur Rahman Siddiquee and Daguang Xu and Andriy Myronenko and Haoyu Wang and Ziyan Huang and Jin Ye and Mireia Alenyà and Valentin Comte and Oscar Camara and Jean-Baptiste Masson and Astrid Nilsson and Charlotte Godard and Moona Mazher and Abdul Qayyum and Yibo Gao and Hangqi Zhou and Shangqi Gao and Jia Fu and Guiming Dong and Guotai Wang and ZunHyan Rieu and HyeonSik Yang and Minwoo Lee and Szymon Płotka and Michal K. Grzeszczyk and Arkadiusz Sitek and Luisa Vargas Daza and Santiago Usma and Pablo Arbelaez and Wenying Lu and Wenhao Zhang and Jing Liang and Romain Valabregue and Anand A. Joshi and Krishna N. Nayak and Richard M. Leahy and Luca Wilhelmi and Aline Dändliker and Hui Ji and Antonio G. Gennari and Anton Jakovčić and Melita Klaić and Ana Adžić and Pavel Marković and Gracia Grabarić and Gregor Kasprian and Gregor Dovjak and Milan Rados and Lana Vasung and Meritxell Bach Cuadra and Andras Jakab},
journal= {arXiv preprint arXiv:2402.09463},
year = {2024}
}
备注
Results from FeTA Challenge 2022, held at MICCAI; Manuscript submitted to IEEE Transactions on Medical Imaging (2024). Supplementary Info (including submission methods descriptions) available here: https://zenodo.org/records/10628648