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Indexing and retrieving DICOM data in disperse and unstructured archives

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Objective

This paper proposes an indexing and retrieval solution to gather information from distributed DICOM documents by allowing searches and access to the virtual data repository using a Google-like process.

Methods and materials

The medical imaging modalities are becoming more powerful and less expensive. The result is the proliferation of equipment acquisition by imaging centers, including the small ones. With this dispersion of data, it is not easy to take advantage of all the information that can be retrieved from these studies. Furthermore, many of these small centers do not have large enough requirements to justify the acquisition of a traditional PACS.

Results

A peer-to-peer PACS platform to index and query DICOM files over a set of distributed repositories that are logically viewed as a single federated unit. The solution is based on a public domain document-indexing engine and extends traditional PACS query and retrieval mechanisms.

Conclusion

This proposal deals well with complex searching requirements, from a single desktop environment to distributed scenarios. The solution performance and robustness were demonstrated in trials. The characteristics of presented PACS platform make it particularly important for small institutions, including educational and research groups.

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References

  1. Costa C, Silva A (2007) Oliveira JL Current perspectives on PACS and cardiology case study. In: Vaidya S, Jain LC, (eds) Studies in computational intelligence: advanced computational intelligence paradigms in healthcare, chap 5. Springer, Berlin, pp 79–108

    Chapter  Google Scholar 

  2. Huang HK (2004) PACS and imaging informatics: basic principles and applications. Wiley, New York

    Google Scholar 

  3. Oosterwijk H (2005) Dicom basics, 3rd edn. OTech, Aubrey

    Google Scholar 

  4. DICOM-P4 (2007) Digital Imaging and Communications in Medicine (DICOM), Part 4: Service Class Specifications. National Electrical Manufacturers Association

  5. DICOM-P18 (2004) Digital Imaging and Communications in Medicine (DICOM), Part 18: Web Access to DICOM Persistent Objects (WADO). National Electrical Manufacturers Association

  6. Reiner BI et al (2005) Multi-institutional analysis of computed and direct radiography—Part II. Economic analysis. Radiology 236: 420–426. doi:10.1148/radiol.2362040673

    Google Scholar 

  7. Bradley WG (2004) Offshore teleradiology. J Am Coll Radiol 1(4): 4. doi:10.1016/j.jacr.2003.12.043

    Article  Google Scholar 

  8. Larson PA, Janower ML (2005) The Nighthawk: Bird of Paradise or Albatross?. J Am Coll Radiol 2(12): 3. doi:10.1016/j.jacr.2005.08.002

    Article  Google Scholar 

  9. Millard WB (2007) Nighthawks across a flat world: Emergency radiology in the era of globalization. Ann Emerg Med 50(5): 545–549. doi:10.1016/j.annemergmed.2007.09.012

    Article  Google Scholar 

  10. Silva A et al (1998) A cardiology oriented PACS. In: Proceedings of SPIE: Medical Imaging, San Diego

  11. Costa C et al (2004) Himage PACS: a new approach to storage, integration and distribution of cardiologic images. In: PACS and Imaging Informatics—Proceedings of SPIE, San Diego

  12. Costa C et al (2007) Enhanced PACS to support demanding telemedicine and telework scenarios. In: CARS 2007—International Congress and Exibition: Computer Assisted Radiology and Surgery, vol 2, pp S322–S323

  13. DICOM-P3 (2001) Digital Imaging and Communications in Medicine (DICOM), Part 3: Information Object Definitions. National Electrical Manufacturers Association

  14. Apache SF (2007) Lucene Index Server. http://lucene.apache.org

  15. Gospodnetic O, Hatcher E (2004) Lucene in Action. Hanning

  16. Kalpathy-Cramer J, Hersh W (2007) Automatic image modality based classification and annotation to improve medical image retrieval. Medinfo 12(Pt 2): 1334–1338

    Google Scholar 

  17. Hersh W, Kalpathy-Cramer J, Jensen J (2007) Medical Image Retrieval and Automated Annotation: OHSU at ImageCLEF 2006, in Lecture Notes In Computer Science. Springer, Berlin pp–669

    Google Scholar 

  18. Jones KS (1988) A statistical interpretation of term specificity and its application in retrieval. J Doc 28: 11–21. doi:10.1108/eb026526

    Article  Google Scholar 

  19. dcm4che. Sourceforge project (2007) http://sourceforge.net/projects/dcm4che/

  20. Warnock MJ et al (2007) Benefits of Using the DCM4CHE DICOM Archive. J Digital Imaging 20(Suppl 1): 125–129

    Article  Google Scholar 

  21. Costa CMA et al (2006) A demanding web-based PACS supported by web services technology. In: Cleary KR, Galloway RL Jr (eds) Medical Imaging 2006: Visualization, Image-Guided Procedures, and Display. Proc SPIE 6145:84–92

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Authors and Affiliations

  1. University of Aveiro, DETI/IEETA, 3810-193, Aveiro, Portugal

    Carlos Costa, Filipe Freitas, Marco Pereira, Augusto Silva & José L. Oliveira

Authors
  1. Carlos Costa
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  2. Filipe Freitas
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  3. Marco Pereira
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  4. Augusto Silva
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  5. José L. Oliveira
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Corresponding author

Correspondence to Carlos Costa.

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Costa, C., Freitas, F., Pereira, M. et al. Indexing and retrieving DICOM data in disperse and unstructured archives. Int J CARS 4, 71–77 (2009). https://doi.org/10.1007/s11548-008-0269-7

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  • DOI: https://doi.org/10.1007/s11548-008-0269-7

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