HaN-Seg: The head and neck organ-at-risk CT & MR segmentation dataset

The HaN-Seg: Head and Neck Organ-at-Risk CT & MR Segmentation Dataset is a publicly available dataset of anonymized head and neck (HaN) images of 42 patients that underwent both CT and T1-weighted MR imaging for the purpose of image-guided radiotherapy planning. In addition, the dataset also contains reference segmentations of 30 organs-at-risk (OARs) for CT images in the form of binary segmentation masks, which were obtained by curating manual pixel-wise expert image annotations. A full description of the HaN-Seg dataset can be found in: G. Podobnik, P. Strojan, P. Peterlin, B. Ibragimov, T. Vrtovec, "HaN-Seg: The head and neck organ-at-risk CT & MR segmentation dataset", Medical Physics, 2023. https://doi.org/10.1002/mp.16197, and any research originating from its usage is required to cite this paper. In parallel with the release of the dataset, the HaN-Seg: The Head and Neck Organ-at-Risk CT & MR Segmentation Challenge is launched to promote the development of new and application of existing state-of-the-art fully automated techniques for OAR segmentation in the HaN region from CT images that exploit the information of multiple imaging modalities, in this case from CT and MR images. The task of the HaN-Seg challenge is to automatically segment up to 30 OARs in the HaN region from CT images in the devised test set, consisting of 14 CT and MR images of the same patients, given the availability of the training set (i.e. the herein publicly available HaN-Seg dataset), consisting of 42 CT and MR images of the same patients with reference 3D OAR binary segmentation masks for CT images.

HaN-Seg：头颈部（Head and Neck, HaN）危及器官（Organs-at-Risk, OARs）CT与MR分割数据集是一款公开可用的匿名化头颈部影像数据集，涵盖42名同时接受CT与T1加权磁共振成像（T1-weighted MR imaging）以开展影像引导放射治疗规划的患者的影像数据。此外，该数据集还包含针对CT影像的30种危及器官的参考分割标注，以二进制分割掩码形式呈现，这类标注由专家完成逐像素手动标注并经整理后得到。关于HaN-Seg数据集的完整详细描述可参阅以下文献：G. Podobnik、P. Strojan、P. Peterlin、B. Ibragimov、T. Vrtovec于2023年发表在《Medical Physics》的"HaN-Seg: The head and neck organ-at-risk CT & MR segmentation dataset"，DOI: 10.1002/mp.16197。若基于该数据集开展相关研究，必须引用此篇论文。与该数据集发布同步启动的还有HaN-Seg：头颈部危及器官CT与MR分割挑战赛，旨在推动面向头颈部区域危及器官分割的新型全自动技术研发，以及现有顶尖自动化技术的落地应用——此类技术需利用多模态影像信息，即本数据集涵盖的CT与磁共振影像信息，从CT影像中完成头颈部危及器官分割。HaN-Seg挑战赛的任务为：在给定训练集（即本文公开的HaN-Seg数据集，包含42名患者的CT与磁共振影像数据，以及对应CT影像的3D危及器官二进制分割掩码标注）的前提下，针对由14名相同患者的CT与磁共振影像组成的测试集，自动完成头颈部区域最多30种危及器官的分割任务。

搜集汇总

背景与挑战

背景概述

HaN-Seg数据集是一个公开的头颈部器官风险区域CT和MR分割数据集，包含42名患者的CT和T1加权MR图像，以及30个器官风险区域的参考分割掩码。该数据集旨在支持图像引导放射治疗规划和自动分割技术的开发，并要求使用者在相关研究中引用指定的出版物。