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Open Biomedical Imaging Archive

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知名数据库2026-06-02 收录
下载链接:
https://ngdc.cncb.ac.cn/obia/home
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资源简介:
The Open Biomedical Imaging Archive (OBIA) is a repository for archiving biomedical imaging and related clinical data in a common DICOM format. OBIA adopts five data objects (Collection, Individual, Study, Series, and Image) for data organization, 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 based on the DICOM standard. In addition, OBIA provides friendly and intuitive web interface for data submission, browsing and retrieval, as well as image retrieval. As of November 2024, OBIA has housed data for a total of 991 individuals, 4244 studies, and 1,946,305 images covering 9 modalities and 30 anatomical sites. Representative imaging modalities are MR, CT, and DX. Anatomical sites include the chest, pelvis, abdomen, head and liver. OBIA offering two types of data accessibility: open access and controlled access. Data access permissions for controlled-access datasets are managed by the submitter. 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.

开放生物医学影像档案馆(Open Biomedical Imaging Archive,OBIA)是一个以通用DICOM(Digital Imaging and Communications in Medicine)格式归档生物医学影像及相关临床数据的存储库。OBIA采用五大数据对象(Collection、Individual、Study、Series及Image)进行数据组织,支持多模态、多器官及多疾病类型的生物医学影像提交。为保护个人隐私,OBIA基于DICOM标准制定了统一的去标识化与质量控制流程。此外,OBIA搭载了友好直观的Web界面,支持数据提交、浏览检索以及影像检索功能。截至2024年11月,OBIA已累计存储991个个体、4244项检查及1,946,305幅影像数据,覆盖9种成像模态与30个解剖部位。典型成像模态包括磁共振成像(Magnetic Resonance Imaging,MR)、计算机断层扫描(Computed Tomography,CT)及数字化放射摄影(Digital Radiography,DX)。解剖部位涵盖胸部、骨盆、腹部、头部及肝脏。OBIA提供两种数据访问权限模式:开放访问与受控访问。受控访问数据集的访问权限由数据提交者进行管理。总体而言,OBIA为生物医学影像数据管理提供了可靠的平台,并对所有公开可用数据开放免费访问权限,以支持全球范围内的科研活动。
提供机构:
中国科学院
搜集汇总
数据集介绍
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背景与挑战
背景概述
Open Biomedical Imaging Archive (OBIA) 是一个基于DICOM格式的生物医学影像与临床数据存储库,采用统一的数据组织结构和去标识化流程,支持多模态、多解剖部位的数据提交与管理。截至2024年11月,它已涵盖近200万张图像,覆盖9种成像模态和30个解剖部位,并提供开放与受控两种数据访问方式,旨在为全球研究提供可靠的平台和免费公开数据。
以上内容由遇见数据集搜集并总结生成
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