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OBIA: An Open Biomedical Imaging Archive.

Enhui Jin1, Dongli Zhao2, Gangao Wu1

  • 1National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.

Genomics, Proteomics & Bioinformatics
|October 8, 2023
PubMed
Summary
This summary is machine-generated.

The Open Biomedical Imaging Archive (OBIA) is a new resource for sharing medical images and data. It provides a centralized platform for diverse biomedical imaging data to support global research.

Keywords:
Biomedical imagingDatabaseDe-identificationOpen Biomedical Imaging ArchiveQuality control

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Area of Science:

  • Biomedical imaging
  • Data science
  • Artificial intelligence

Background:

  • Biomedical imaging data are crucial for research and clinical applications.
  • Limited availability of biomedical imaging resources hinders scientific progress.
  • Advancements in artificial intelligence (AI) necessitate robust data repositories.

Purpose of the Study:

  • To introduce the Open Biomedical Imaging Archive (OBIA), a novel repository for biomedical imaging and associated clinical data.
  • To establish a standardized framework for data organization, submission, and retrieval.
  • To provide open access to a comprehensive collection of de-identified biomedical imaging data.

Main Methods:

  • Organizing data using five objects: Collection, Individual, Study, Series, and Image.
  • Accepting diverse biomedical image modalities, organ types, and disease categories.
  • Implementing a unified de-identification and quality control process for privacy protection.
  • Developing user-friendly web interfaces for data submission, browsing, and retrieval.

Main Results:

  • As of September 2023, OBIA contains data from 937 individuals, 4136 studies, 24,701 series, and 1,938,309 images.
  • The archive covers 9 imaging modalities and 30 anatomical sites.
  • OBIA provides free open access to all publicly available data.

Conclusions:

  • OBIA serves as a reliable platform for managing biomedical imaging data.
  • The repository facilitates global research by offering open access to a large, diverse dataset.
  • OBIA supports AI-driven advancements in biomedical research and clinical applications.