OBIA: An Open Biomedical Imaging Archive.

Genomics, proteomics & bioinformatics Pub Date : 2023-10-01 Epub Date: 2023-10-06 DOI:10.1016/j.gpb.2023.09.003

Enhui Jin, Dongli Zhao, Gangao Wu, Junwei Zhu, Zhonghuang Wang, Zhiyao Wei, Sisi Zhang, Anke Wang, Bixia Tang, Xu Chen, Yanling Sun, Zhe Zhang, Wenming Zhao, Yuanguang Meng

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Abstract

With the development of artificial intelligence (AI) technologies, biomedical imaging data play an important role in scientific research and clinical application, but the available resources are limited. Here we present Open Biomedical Imaging Archive (OBIA), a repository for archiving biomedical imaging and related clinical data. OBIA adopts five data objects (Collection, Individual, Study, Series, and Image) for data organization, and accepts the submission of biomedical images of multiple modalities, organs, and diseases. In order to protect personal privacy, OBIA has formulated a unified de-identification and quality control process. In addition, OBIA provides friendly and intuitive web interfaces for data submission, browsing, and retrieval, as well as image retrieval. As of September 2023, OBIA has housed data for a total of 937 individuals, 4136 studies, 24,701 series, and 1,938,309 images covering 9 modalities and 30 anatomical sites. Collectively, OBIA provides a reliable platform for biomedical imaging data management and offers free open access to all publicly available data to support research activities throughout the world. OBIA can be accessed at https://ngdc.cncb.ac.cn/obia.

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OBIA：一个开放的生物医学成像档案。

随着人工智能技术的发展，生物医学成像数据在科学研究和临床应用中发挥着重要作用，但可用资源有限。在这里，我们介绍了开放式生物医学成像档案（OBIA），一个用于存档生物医学成像和相关临床数据的存储库。OBIA采用五个数据对象（采集、个体、研究、系列和图像）进行数据组织，接受多种模式、器官和疾病的生物医学图像提交。为了保护个人隐私，海外建筑信息管理局制定了统一的身份识别和质量控制流程。此外，OBIA为数据提交、浏览和检索以及图像检索提供了友好直观的网络界面。截至2023年9月，OBIA共收集了937个个体、4136项研究、24701个系列和1938309张图像的数据，涵盖9种模式和30个解剖部位。总之，OBIA为生物医学成像数据管理提供了一个可靠的平台，并提供了对所有公开可用数据的免费开放访问，以支持世界各地的研究活动。OBIA可访问https://ngdc.cncb.ac.cn/obia.

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Genomics, proteomics & bioinformatics

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