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DICOM Data Warehouse: Part 2.

Steve G Langer1

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This summary is machine-generated.

The DICOM Data Warehouse (DDW) successfully manages diverse medical imaging metadata, scaling to over 90 device types and indexing thousands of studies daily. Future versions may adopt big data approaches for unindexed tags.

Keywords:
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Area of Science:

  • Medical Informatics
  • Radiology Data Management

Background:

  • The DICOM Data Warehouse (DDW) was established in 2010 to manage DICOM metadata.
  • Initial goals included a flexible schema for indexing diverse data and a standardized lexicon for SQL querying across different scanners and DICOM versions.

Purpose of the Study:

  • To evaluate the scalability and effectiveness of the DDW's design after five years of operation.
  • To assess the system's ability to handle variability in DICOM objects, including DICOM-SR.

Main Methods:

  • The DDW utilizes a flexible database schema to index patient/study information, modality-specific tags (public/private), and derived tags.
  • Stored procedures were developed to compute derived data from standard or mapped tags.
  • The system maps information to a standardized lexicon for consistent SQL querying.

Main Results:

  • The DDW schema has remained largely unchanged and has scaled effectively over five years.
  • The knowledge base now supports over 90 device types.
  • The system currently indexes approximately 300 MR, 600 CT, and 2000 other imaging studies daily.
  • The system successfully addresses variability in DICOM-SR objects.

Conclusions:

  • The DDW design has proven robust and scalable for managing DICOM metadata.
  • The system effectively handles a wide range of imaging devices and data types.
  • A potential future challenge involves indexing non-prospectively indexed tags, possibly requiring a NoSQL or big data approach.