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DCMDSM: a DICOM decomposed storage model.

Alexandre Savaris1, Theo Härder2, Aldo von Wangenheim3

  • 1Department of Computer Science-AG DBIS, University of Kaiserslautern, Kaiserslautern, Germany Department of Informatics, Federal University of Paraná, Curitiba, Paraná, Brazil National Institute for Digital Convergence, Florianópolis, Santa Catarina, Brazil.

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Summary
This summary is machine-generated.

A new DICOM decomposed storage model (DCMDSM) offers faster querying and retrieval of medical images. While slower for initial storage, DCMDSM provides significant performance gains for specific query types, making it suitable for image archiving projects.

Keywords:
Database Management SystemsDecomposed Storage ModelDigital Imaging and Communications in MedicineInformation Storage and Retrieval

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Area of Science:

  • Medical Imaging Informatics
  • Database Management Systems
  • Health Informatics

Background:

  • Managing heterogeneous Digital Imaging and Communications in Medicine (DICOM) images presents challenges for storage and retrieval.
  • Existing storage models may not efficiently handle the variability and complexity of DICOM data.
  • Optimizing query and retrieval operations is crucial for clinical and research applications.

Purpose of the Study:

  • To design, build, and evaluate a flexible and simple storage model for heterogeneous DICOM images.
  • To ensure the model effectively handles query/retrieval operations according to DICOM standards.
  • To achieve performance gains in querying and retrieving DICOM content.

Main Methods:

  • Adapted the decomposed storage model to incorporate DICOM image file structures.
  • Stored DICOM tag values by data type/domain within a relational database schema.
  • Evaluated performance through storing diverse DICOM images, metadata querying with variable predicates, and full-content image retrieval.

Main Results:

  • Storage operations were 0.6-7.2 times slower than a established archive.
  • Querying individual tags was approximately 48.0% faster.
  • Full-content retrieval was about 48.3% faster; group tag querying showed variable performance based on tag number and selectivity.

Conclusions:

  • The DICOM decomposed storage model (DCMDSM) is a straightforward database design for heterogeneous DICOM content.
  • DCMDSM demonstrates suitability as a storage layer for applications requiring efficient DICOM image querying and retrieval.
  • Performance gains in querying and retrieval justify its adoption for specific DICOM image management needs.