Multi-modality magnetic resonance imaging data with various sequences facilitate the early diagnosis, tumor segmentation, and disease staging in the management of nasopharyngeal carcinoma (NPC). The lack of publicly available, comprehensive datasets limits advancements in diagnosis, treatment planning, and the development of machine learning algorithms for NPC. Addressing this critical need, we introduce the first comprehensive NPC MRI dataset, encompassing MR axial imaging of 277 primary NPC patients. This dataset includes T1-weighted, T2-weighted, and contrast-enhanced T1-weighted sequences, totaling 831 scans. In addition to the corresponding clinical data, manually annotated and labeled segmentations by experienced radiologists offer high-quality data resources from untreated primary NPC.

翻译：多序列多模态磁共振成像数据有助于鼻咽癌诊疗中的早期诊断、肿瘤分割及疾病分期。目前缺乏公开可用的综合数据集，制约了鼻咽癌诊断、治疗规划及机器学习算法开发的进步。为应对这一关键需求，我们首次引入涵盖277例原发性鼻咽癌患者MR轴位成像的综合数据集。该数据集包含T1加权、T2加权及对比增强T1加权序列，共计831次扫描。除相应临床数据外，由经验丰富的放射科医生手工标注并验证的肿瘤分割为未经治疗的原始鼻咽癌提供了高质量数据资源。