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XNAT Central: Open sourcing imaging research data.

Rick Herrick1, William Horton1, Timothy Olsen2

  • 1Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA.

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|July 6, 2015
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Summary
This summary is machine-generated.

XNAT Central is an open-source platform providing access to diverse medical imaging data, particularly neuroimaging. It serves as a searchable repository, supporting global research and academic publications.

Keywords:
Data sharingNeuroinformatics databasesOpen accessOpen sourceXNATXNAT Central

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Area of Science:

  • Medical Imaging Informatics
  • Neuroimaging Research
  • Data Repositories

Background:

  • XNAT Central is built on the XNAT open-source platform.
  • It was initially created to centralize neuroimaging data access.
  • The repository now includes diverse research imaging data beyond neuroimaging.

Purpose of the Study:

  • To establish a publicly accessible repository for medical imaging data.
  • To facilitate access to a wide variety of neuroimaging and other research data.
  • To support researchers by providing a searchable database of imaging studies.

Main Methods:

  • Utilizes the XNAT open-source imaging informatics platform.
  • Leverages XNAT's DICOM metadata extraction for searchability.
  • Hosts data from global research labs and investigative efforts.

Main Results:

  • Hosts numerous datasets, including OASIS Brains and NUSDAST studies.
  • Expanded to include oncology, orthopedics, cardiology, and animal study data.
  • Provides a searchable repository for diverse imaging data.

Conclusions:

  • XNAT Central is a valuable resource for accessing heterogeneous neuroimaging data.
  • Future development aims to enhance usability as a reference library.
  • The platform will support data sharing for published research and articles.