Journal of Digital Imaging

, Volume 27, Issue 3, pp 297–308 | Cite as

Optimization of PACS Data Persistency Using Indexed Hierarchical Data

  • Thiago C. Prado
  • Douglas D. J. de Macedo
  • M. A. R. Dantas
  • Aldo von Wangenheim
Article

Abstract

We present a new approach for the development of a data persistency layer for a Digital Imaging and Communications in Medicine (DICOM)-compliant Picture Archiving and Communications Systems employing a hierarchical database. Our approach makes use of the HDF5 hierarchical data storage standard for scientific data and overcomes limitations of hierarchical databases employing inverted indexing for secondary key management and for efficient and flexible access to data through secondary keys. This inverted indexing is achieved through a general purpose document indexing tool called Lucene. This approach was implemented and tested using real-world data against a traditional solution employing a relational database, in various store, search, and retrieval experiments performed repeatedly with different sizes of DICOM datasets. Results show that our approach outperforms the traditional solution on most of the situations, being more than 600 % faster in some cases.

Keywords

DICOM Hierarchical data format PACS Data Indexing 

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Copyright information

© Society for Imaging Informatics in Medicine 2014

Authors and Affiliations

  • Thiago C. Prado
    • 1
  • Douglas D. J. de Macedo
    • 2
    • 3
  • M. A. R. Dantas
    • 1
  • Aldo von Wangenheim
    • 1
  1. 1.Department of Informatics and StatisticsINEFlorianópolisBrazil
  2. 2.Post-Graduate Program in Knowledge Engineering and Management—PPGEGCFederal University of Santa Catarina—UFSCFlorianópolisBrazil
  3. 3.Departamento de Informática e Estatística—Sala 320Universidade Federal de Santa Catarina—UFSCFlorianópolisBrazil

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