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Optimization of PACS Data Persistency Using Indexed Hierarchical Data

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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.

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Authors and Affiliations

  1. Department of Informatics and Statistics, INE, Florianópolis, Brazil

    Thiago C. Prado, M. A. R. Dantas & Aldo von Wangenheim

  2. Post-Graduate Program in Knowledge Engineering and Management—PPGEGC, Federal University of Santa Catarina—UFSC, Florianópolis, Brazil

    Douglas D. J. de Macedo

  3. Departamento de Informática e Estatística—Sala 320, Universidade Federal de Santa Catarina—UFSC, Campus Universitário Trindade 320, 88040-900, Florianópolis, SC, Brazil

    Douglas D. J. de Macedo

Authors
  1. Thiago C. Prado
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  2. Douglas D. J. de Macedo
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  3. M. A. R. Dantas
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  4. Aldo von Wangenheim
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Corresponding author

Correspondence to Douglas D. J. de Macedo.

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Prado, T.C., de Macedo, D.D.J., Dantas, M.A.R. et al. Optimization of PACS Data Persistency Using Indexed Hierarchical Data. J Digit Imaging 27, 297–308 (2014). https://doi.org/10.1007/s10278-013-9665-9

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  • DOI: https://doi.org/10.1007/s10278-013-9665-9

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